method section in research paper

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How to Write the Methods Section of a Research Paper

Writing a research paper is both an art and a skill, and knowing how to write the methods section of a research paper is the first crucial step in mastering scientific writing. If, like the majority of early career researchers, you believe that the methods section is the simplest to write and needs little in the way of careful consideration or thought, this article will help you understand it is not 1 .

We have all probably asked our supervisors, coworkers, or search engines “ how to write a methods section of a research paper ” at some point in our scientific careers, so you are not alone if that’s how you ended up here.  Even for seasoned researchers, selecting what to include in the methods section from a wealth of experimental information can occasionally be a source of distress and perplexity.   

Additionally, journal specifications, in some cases, may make it more of a requirement rather than a choice to provide a selective yet descriptive account of the experimental procedure. Hence, knowing these nuances of how to write the methods section of a research paper is critical to its success. The methods section of the research paper is not supposed to be a detailed heavy, dull section that some researchers tend to write; rather, it should be the central component of the study that justifies the validity and reliability of the research.

Are you still unsure of how the methods section of a research paper forms the basis of every investigation? Consider the last article you read but ignore the methods section and concentrate on the other parts of the paper . Now think whether you could repeat the study and be sure of the credibility of the findings despite knowing the literature review and even having the data in front of you. You have the answer!   

Having established the importance of the methods section , the next question is how to write the methods section of a research paper that unifies the overall study. The purpose of the methods section , which was earlier called as Materials and Methods , is to describe how the authors went about answering the “research question” at hand. Here, the objective is to tell a coherent story that gives a detailed account of how the study was conducted, the rationale behind specific experimental procedures, the experimental setup, objects (variables) involved, the research protocol employed, tools utilized to measure, calculations and measurements, and the analysis of the collected data 2 .

In this article, we will take a deep dive into this topic and provide a detailed overview of how to write the methods section of a research paper . For the sake of clarity, we have separated the subject into various sections with corresponding subheadings.  

Table of Contents

What is the methods section of a research paper ?  

The methods section is a fundamental section of any paper since it typically discusses the ‘ what ’, ‘ how ’, ‘ which ’, and ‘ why ’ of the study, which is necessary to arrive at the final conclusions. In a research article, the introduction, which serves to set the foundation for comprehending the background and results is usually followed by the methods section, which precedes the result and discussion sections. The methods section must explicitly state what was done, how it was done, which equipment, tools and techniques were utilized, how were the measurements/calculations taken, and why specific research protocols, software, and analytical methods were employed.  

Why is the methods section important?  

The primary goal of the methods section is to provide pertinent details about the experimental approach so that the reader may put the results in perspective and, if necessary, replicate the findings 3 .  This section offers readers the chance to evaluate the reliability and validity of any study. In short, it also serves as the study’s blueprint, assisting researchers who might be unsure about any other portion in establishing the study’s context and validity. The methods plays a rather crucial role in determining the fate of the article; an incomplete and unreliable methods section can frequently result in early rejections and may lead to numerous rounds of modifications during the publication process. This means that the reviewers also often use methods section to assess the reliability and validity of the research protocol and the data analysis employed to address the research topic. In other words, the purpose of the methods section is to demonstrate the research acumen and subject-matter expertise of the author(s) in their field.  

Structure of methods section of a research paper  

Similar to the research paper, the methods section also follows a defined structure; this may be dictated by the guidelines of a specific journal or can be presented in a chronological or thematic manner based on the study type. When writing the methods section , authors should keep in mind that they are telling a story about how the research was conducted. They should only report relevant information to avoid confusing the reader and include details that would aid in connecting various aspects of the entire research activity together. It is generally advisable to present experiments in the order in which they were conducted. This facilitates the logical flow of the research and allows readers to follow the progression of the study design.   

It is also essential to clearly state the rationale behind each experiment and how the findings of earlier experiments informed the design or interpretation of later experiments. This allows the readers to understand the overall purpose of the study design and the significance of each experiment within that context. However, depending on the particular research question and method, it may make sense to present information in a different order; therefore, authors must select the best structure and strategy for their individual studies.   

In cases where there is a lot of information, divide the sections into subheadings to cover the pertinent details. If the journal guidelines pose restrictions on the word limit , additional important information can be supplied in the supplementary files. A simple rule of thumb for sectioning the method section is to begin by explaining the methodological approach ( what was done ), describing the data collection methods ( how it was done ), providing the analysis method ( how the data was analyzed ), and explaining the rationale for choosing the methodological strategy. This is described in detail in the upcoming sections.    

How to write the methods section of a research paper  

Contrary to widespread assumption, the methods section of a research paper should be prepared once the study is complete to prevent missing any key parameter. Hence, please make sure that all relevant experiments are done before you start writing a methods section . The next step for authors is to look up any applicable academic style manuals or journal-specific standards to ensure that the methods section is formatted correctly. The methods section of a research paper typically constitutes materials and methods; while writing this section, authors usually arrange the information under each category.

The materials category describes the samples, materials, treatments, and instruments, while experimental design, sample preparation, data collection, and data analysis are a part of the method category. According to the nature of the study, authors should include additional subsections within the methods section, such as ethical considerations like the declaration of Helsinki (for studies involving human subjects), demographic information of the participants, and any other crucial information that can affect the output of the study. Simply put, the methods section has two major components: content and format. Here is an easy checklist for you to consider if you are struggling with how to write the methods section of a research paper .   

• Explain the research design, subjects, and sample details  
• Include information on inclusion and exclusion criteria  
• Mention ethical or any other permission required for the study  
• Include information about materials, experimental setup, tools, and software  
• Add details of data collection and analysis methods  
• Incorporate how research biases were avoided or confounding variables were controlled  
• Evaluate and justify the experimental procedure selected to address the research question  
• Provide precise and clear details of each experiment  
• Flowcharts, infographics, or tables can be used to present complex information     
• Use past tense to show that the experiments have been done   
• Follow academic style guides (such as APA or MLA ) to structure the content  
• Citations should be included as per standard protocols in the field  

Now that you know how to write the methods section of a research paper , let’s address another challenge researchers face while writing the methods section —what to include in the methods section .  How much information is too much is not always obvious when it comes to trying to include data in the methods section of a paper. In the next section, we examine this issue and explore potential solutions.   

What to include in the methods section of a research paper  

The technical nature of the methods section occasionally makes it harder to present the information clearly and concisely while staying within the study context. Many young researchers tend to veer off subject significantly, and they frequently commit the sin of becoming bogged down in itty bitty details, making the text harder to read and impairing its overall flow. However, the best way to write the methods section is to start with crucial components of the experiments. If you have trouble deciding which elements are essential, think about leaving out those that would make it more challenging to comprehend the context or replicate the results. The top-down approach helps to ensure all relevant information is incorporated and vital information is not lost in technicalities. Next, remember to add details that are significant to assess the validity and reliability of the study. Here is a simple checklist for you to follow ( bonus tip: you can also make a checklist for your own study to avoid missing any critical information while writing the methods section ).  

• Structuring the methods section : Authors should diligently follow journal guidelines and adhere to the specific author instructions provided when writing the methods section . Journals typically have specific guidelines for formatting the methods section ; for example, Frontiers in Plant Sciences advises arranging the materials and methods section by subheading and citing relevant literature. There are several standardized checklists available for different study types in the biomedical field, including CONSORT (Consolidated Standards of Reporting Trials) for randomized clinical trials, PRISMA (Preferred Reporting Items for Systematic reviews and Meta-Analysis) for systematic reviews and meta-analysis, and STROBE (STrengthening the Reporting of OBservational studies in Epidemiology) for cohort, case-control, cross-sectional studies. Before starting the methods section , check the checklist available in your field that can function as a guide.     
• Organizing different sections to tell a story : Once you are sure of the format required for structuring the methods section , the next is to present the sections in a logical manner; as mentioned earlier, the sections can be organized according to the chronology or themes. In the chronological arrangement, you should discuss the methods in accordance with how the experiments were carried out. An example of the method section of a research paper of an animal study should first ideally include information about the species, weight, sex, strain, and age. Next, the number of animals, their initial conditions, and their living and housing conditions should also be mentioned. Second, how the groups are assigned and the intervention (drug treatment, stress, or other) given to each group, and finally, the details of tools and techniques used to measure, collect, and analyze the data. Experiments involving animal or human subjects should additionally state an ethics approval statement. It is best to arrange the section using the thematic approach when discussing distinct experiments not following a sequential order.  
• Define and explain the objects and procedure: Experimental procedure should clearly be stated in the methods section . Samples, necessary preparations (samples, treatment, and drug), and methods for manipulation need to be included. All variables (control, dependent, independent, and confounding) must be clearly defined, particularly if the confounding variables can affect the outcome of the study.  
• Match the order of the methods section with the order of results: Though not mandatory, organizing the manuscript in a logical and coherent manner can improve the readability and clarity of the paper. This can be done by following a consistent structure throughout the manuscript; readers can easily navigate through the different sections and understand the methods and results in relation to each other. Using experiment names as headings for both the methods and results sections can also make it simpler for readers to locate specific information and corroborate it if needed.   
• Relevant information must always be included: The methods section should have information on all experiments conducted and their details clearly mentioned. Ask the journal whether there is a way to offer more information in the supplemental files or external repositories if your target journal has strict word limitations. For example, Nature communications encourages authors to deposit their step-by-step protocols in an open-resource depository, Protocol Exchange which allows the protocols to be linked with the manuscript upon publication. Providing access to detailed protocols also helps to increase the transparency and reproducibility of the research.  
• It’s all in the details: The methods section should meticulously list all the materials, tools, instruments, and software used for different experiments. Specify the testing equipment on which data was obtained, together with its manufacturer’s information, location, city, and state or any other stimuli used to manipulate the variables. Provide specifics on the research process you employed; if it was a standard protocol, cite previous studies that also used the protocol.  Include any protocol modifications that were made, as well as any other factors that were taken into account when planning the study or gathering data. Any new or modified techniques should be explained by the authors. Typically, readers evaluate the reliability and validity of the procedures using the cited literature, and a widely accepted checklist helps to support the credibility of the methodology. Note: Authors should include a statement on sample size estimation (if applicable), which is often missed. It enables the reader to determine how many subjects will be required to detect the expected change in the outcome variables within a given confidence interval.  
• Write for the audience: While explaining the details in the methods section , authors should be mindful of their target audience, as some of the rationale or assumptions on which specific procedures are based might not always be obvious to the audience, particularly for a general audience. Therefore, when in doubt, the objective of a procedure should be specified either in relation to the research question or to the entire protocol.  
• Data interpretation and analysis : Information on data processing, statistical testing, levels of significance, and analysis tools and software should be added. Mention if the recommendations and expertise of an experienced statistician were followed. Also, evaluate and justify the preferred statistical method used in the study and its significance.  

What NOT to include in the methods section of a research paper  

To address “ how to write the methods section of a research paper ”, authors should not only pay careful attention to what to include but also what not to include in the methods section of a research paper . Here is a list of do not’s when writing the methods section :  

• Do not elaborate on specifics of standard methods/procedures: You should refrain from adding unnecessary details of experiments and practices that are well established and cited previously.  Instead, simply cite relevant literature or mention if the manufacturer’s protocol was followed.  
• Do not add unnecessary details : Do not include minute details of the experimental procedure and materials/instruments used that are not significant for the outcome of the experiment. For example, there is no need to mention the brand name of the water bath used for incubation.    
• Do not discuss the results: The methods section is not to discuss the results or refer to the tables and figures; save it for the results and discussion section. Also, focus on the methods selected to conduct the study and avoid diverting to other methods or commenting on their pros or cons.  
• Do not make the section bulky : For extensive methods and protocols, provide the essential details and share the rest of the information in the supplemental files. The writing should be clear yet concise to maintain the flow of the section.  

We hope that by this point, you understand how crucial it is to write a thoughtful and precise methods section and the ins and outs of how to write the methods section of a research paper . To restate, the entire purpose of the methods section is to enable others to reproduce the results or verify the research. We sincerely hope that this post has cleared up any confusion and given you a fresh perspective on the methods section .

As a parting gift, we’re leaving you with a handy checklist that will help you understand how to write the methods section of a research paper . Feel free to download this checklist and use or share this with those who you think may benefit from it.  

References  

• Bhattacharya, D. How to write the Methods section of a research paper. Editage Insights, 2018. https://www.editage.com/insights/how-to-write-the-methods-section-of-a-research-paper (2018).
• Kallet, R. H. How to Write the Methods Section of a Research Paper. Respiratory Care 49, 1229–1232 (2004). https://pubmed.ncbi.nlm.nih.gov/15447808/
• Grindstaff, T. L. & Saliba, S. A. AVOIDING MANUSCRIPT MISTAKES. Int J Sports Phys Ther 7, 518–524 (2012). https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3474299/

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How to Write a Research Paper: the LEAP approach (+cheat sheet)

In this article I will show you how to write a research paper using the four LEAP writing steps. The LEAP academic writing approach is a step-by-step method for turning research results into a published paper .

The LEAP writing approach has been the cornerstone of the 70 + research papers that I have authored and the 3700+ citations these paper have accumulated within 9 years since the completion of my PhD. I hope the LEAP approach will help you just as much as it has helped me to make an real, tangible impact with my research.

What is the LEAP research paper writing approach?

I designed the LEAP writing approach not only for merely writing the papers. My goal with the writing system was to show young scientists how to first think about research results and then how to efficiently write each section of the research paper.

In other words, you will see how to write a research paper by first analyzing the results and then building a logical, persuasive arguments. In this way, instead of being afraid of writing research paper, you will be able to rely on the paper writing process to help you with what is the most demanding task in getting published – thinking.

The four research paper writing steps according to the LEAP approach:

I will show each of these steps in detail. And you will be able to download the LEAP cheat sheet for using with every paper you write.

But before I tell you how to efficiently write a research paper, I want to show you what is the problem with the way scientists typically write a research paper and why the LEAP approach is more efficient.

How scientists typically write a research paper (and why it isn’t efficient)

Writing a research paper can be tough, especially for a young scientist. Your reasoning needs to be persuasive and thorough enough to convince readers of your arguments. The description has to be derived from research evidence, from prior art, and from your own judgment. This is a tough feat to accomplish.

The figure below shows the sequence of the different parts of a typical research paper. Depending on the scientific journal, some sections might be merged or nonexistent, but the general outline of a research paper will remain very similar.

Here is the problem: Most people make the mistake of writing in this same sequence.

While the structure of scientific articles is designed to help the reader follow the research, it does little to help the scientist write the paper. This is because the layout of research articles starts with the broad (introduction) and narrows down to the specifics (results). See in the figure below how the research paper is structured in terms of the breath of information that each section entails.

How to write a research paper according to the LEAP approach

For a scientist, it is much easier to start writing a research paper with laying out the facts in the narrow sections (i.e. results), step back to describe them (i.e. write the discussion), and step back again to explain the broader picture in the introduction.

For example, it might feel intimidating to start writing a research paper by explaining your research’s global significance in the introduction, while it is easy to plot the figures in the results. When plotting the results, there is not much room for wiggle: the results are what they are.

Starting to write a research papers from the results is also more fun because you finally get to see and understand the complete picture of the research that you have worked on.

Most importantly, following the LEAP approach will help you first make sense of the results yourself and then clearly communicate them to the readers. That is because the sequence of writing allows you to slowly understand the meaning of the results and then develop arguments for presenting to your readers.

I have personally been able to write and submit a research article in three short days using this method.

Step 1: Lay Out the Facts

You have worked long hours on a research project that has produced results and are no doubt curious to determine what they exactly mean. There is no better way to do this than by preparing figures, graphics and tables. This is what the first LEAP step is focused on – diving into the results.

How to p repare charts and tables for a research paper

Your first task is to try out different ways of visually demonstrating the research results. In many fields, the central items of a journal paper will be charts that are based on the data generated during research. In other fields, these might be conceptual diagrams, microscopy images, schematics and a number of other types of scientific graphics which should visually communicate the research study and its results to the readers. If you have reasonably small number of data points, data tables might be useful as well.

Tips for preparing charts and tables

• Try multiple chart types but in the finished paper only use the one that best conveys the message you want to present to the readers
• Follow the eight chart design progressions for selecting and refining a data chart for your paper: https://peerrecognized.com/chart-progressions
• Prepare scientific graphics and visualizations for your paper using the scientific graphic design cheat sheet: https://peerrecognized.com/tools-for-creating-scientific-illustrations/

How to describe the results of your research

Now that you have your data charts, graphics and tables laid out in front of you – describe what you see in them. Seek to answer the question: What have I found?  Your statements should progress in a logical sequence and be backed by the visual information. Since, at this point, you are simply explaining what everyone should be able to see for themselves, you can use a declarative tone: The figure X demonstrates that…

Tips for describing the research results :

• Answer the question: “ What have I found? “
• Use declarative tone since you are simply describing observations

Step 2: Explain the results

The core aspect of your research paper is not actually the results; it is the explanation of their meaning. In the second LEAP step, you will do some heavy lifting by guiding the readers through the results using logic backed by previous scientific research.

How to define the Message of a research paper

To define the central message of your research paper, imagine how you would explain your research to a colleague in 20 seconds . If you succeed in effectively communicating your paper’s message, a reader should be able to recount your findings in a similarly concise way even a year after reading it. This clarity will increase the chances that someone uses the knowledge you generated, which in turn raises the likelihood of citations to your research paper. 

Tips for defining the paper’s central message :

• Write the paper’s core message in a single sentence or two bullet points
• Write the core message in the header of the research paper manuscript

How to write the Discussion section of a research paper

In the discussion section you have to demonstrate why your research paper is worthy of publishing. In other words, you must now answer the all-important So what? question . How well you do so will ultimately define the success of your research paper.

Here are three steps to get started with writing the discussion section:

• Write bullet points of the things that convey the central message of the research article (these may evolve into subheadings later on).
• Make a list with the arguments or observations that support each idea.
• Finally, expand on each point to make full sentences and paragraphs.

Tips for writing the discussion section:

• What is the meaning of the results?
• Was the hypothesis confirmed?
• Write bullet points that support the core message
• List logical arguments for each bullet point, group them into sections
• Instead of repeating research timeline, use a presentation sequence that best supports your logic
• Convert arguments to full paragraphs; be confident but do not overhype
• Refer to both supportive and contradicting research papers for maximum credibility

How to write the Conclusions of a research paper

Since some readers might just skim through your research paper and turn directly to the conclusions, it is a good idea to make conclusion a standalone piece. In the first few sentences of the conclusions, briefly summarize the methodology and try to avoid using abbreviations (if you do, explain what they mean).

After this introduction, summarize the findings from the discussion section. Either paragraph style or bullet-point style conclusions can be used. I prefer the bullet-point style because it clearly separates the different conclusions and provides an easy-to-digest overview for the casual browser. It also forces me to be more succinct.

Tips for writing the conclusion section :

• Summarize the key findings, starting with the most important one
• Make conclusions standalone (short summary, avoid abbreviations)
• Add an optional take-home message and suggest future research in the last paragraph

How to refine the Objective of a research paper

The objective is a short, clear statement defining the paper’s research goals. It can be included either in the final paragraph of the introduction, or as a separate subsection after the introduction. Avoid writing long paragraphs with in-depth reasoning, references, and explanation of methodology since these belong in other sections. The paper’s objective can often be written in a single crisp sentence.

Tips for writing the objective section :

• The objective should ask the question that is answered by the central message of the research paper
• The research objective should be clear long before writing a paper. At this point, you are simply refining it to make sure it is addressed in the body of the paper.

How to write the Methodology section of your research paper

When writing the methodology section, aim for a depth of explanation that will allow readers to reproduce the study . This means that if you are using a novel method, you will have to describe it thoroughly. If, on the other hand, you applied a standardized method, or used an approach from another paper, it will be enough to briefly describe it with reference to the detailed original source.

Remember to also detail the research population, mention how you ensured representative sampling, and elaborate on what statistical methods you used to analyze the results.

Tips for writing the methodology section :

• Include enough detail to allow reproducing the research
• Provide references if the methods are known
• Create a methodology flow chart to add clarity
• Describe the research population, sampling methodology, statistical methods for result analysis
• Describe what methodology, test methods, materials, and sample groups were used in the research.

Step 3: Advertize the research

Step 3 of the LEAP writing approach is designed to entice the casual browser into reading your research paper. This advertising can be done with an informative title, an intriguing abstract, as well as a thorough explanation of the underlying need for doing the research within the introduction.

How to write the Introduction of a research paper

The introduction section should leave no doubt in the mind of the reader that what you are doing is important and that this work could push scientific knowledge forward. To do this convincingly, you will need to have a good knowledge of what is state-of-the-art in your field. You also need be able to see the bigger picture in order to demonstrate the potential impacts of your research work.

Think of the introduction as a funnel, going from wide to narrow, as shown in the figure below:

• Start with a brief context to explain what do we already know,
• Follow with the motivation for the research study and explain why should we care about it,
• Explain the research gap you are going to bridge within this research paper,
• Describe the approach you will take to solve the problem.

Tips for writing the introduction section :

• Follow the Context – Motivation – Research gap – Approach funnel for writing the introduction
• Explain how others tried and how you plan to solve the research problem
• Do a thorough literature review before writing the introduction
• Start writing the introduction by using your own words, then add references from the literature

How to prepare the Abstract of a research paper

The abstract acts as your paper’s elevator pitch and is therefore best written only after the main text is finished. In this one short paragraph you must convince someone to take on the time-consuming task of reading your whole research article. So, make the paper easy to read, intriguing, and self-explanatory; avoid jargon and abbreviations.

How to structure the abstract of a research paper:

• The abstract is a single paragraph that follows this structure:
• Problem: why did we research this
• Methodology: typically starts with the words “Here we…” that signal the start of own contribution.
• Results: what we found from the research.
• Conclusions: show why are the findings important

How to compose a research paper Title

The title is the ultimate summary of a research paper. It must therefore entice someone looking for information to click on a link to it and continue reading the article. A title is also used for indexing purposes in scientific databases, so a representative and optimized title will play large role in determining if your research paper appears in search results at all.

Tips for coming up with a research paper title:

• Capture curiosity of potential readers using a clear and descriptive title
• Include broad terms that are often searched
• Add details that uniquely identify the researched subject of your research paper
• Avoid jargon and abbreviations
• Use keywords as title extension (instead of duplicating the words) to increase the chance of appearing in search results

How to prepare Highlights and Graphical Abstract

Highlights are three to five short bullet-point style statements that convey the core findings of the research paper. Notice that the focus is on the findings, not on the process of getting there.

A graphical abstract placed next to the textual abstract visually summarizes the entire research paper in a single, easy-to-follow figure. I show how to create a graphical abstract in my book Research Data Visualization and Scientific Graphics.

Tips for preparing highlights and graphical abstract:

• In highlights show core findings of the research paper (instead of what you did in the study).
• In graphical abstract show take-home message or methodology of the research paper. Learn more about creating a graphical abstract in this article.

Step 4: Prepare for submission

Sometimes it seems that nuclear fusion will stop on the star closest to us (read: the sun will stop to shine) before a submitted manuscript is published in a scientific journal. The publication process routinely takes a long time, and after submitting the manuscript you have very little control over what happens. To increase the chances of a quick publication, you must do your homework before submitting the manuscript. In the fourth LEAP step, you make sure that your research paper is published in the most appropriate journal as quickly and painlessly as possible.

How to select a scientific Journal for your research paper

The best way to find a journal for your research paper is it to review which journals you used while preparing your manuscript. This source listing should provide some assurance that your own research paper, once published, will be among similar articles and, thus, among your field’s trusted sources.

After this initial selection of hand-full of scientific journals, consider the following six parameters for selecting the most appropriate journal for your research paper (read this article to review each step in detail):

• Scope and publishing history
• Ranking and Recognition
• Publishing time
• Acceptance rate
• Content requirements
• Access and Fees

How to select a journal for your research paper:

• Use the six parameters to select the most appropriate scientific journal for your research paper
• Use the following tools for journal selection: https://peerrecognized.com/journals
• Follow the journal’s “Authors guide” formatting requirements

How to Edit you manuscript

No one can write a finished research paper on their first attempt. Before submitting, make sure to take a break from your work for a couple of days, or even weeks. Try not to think about the manuscript during this time. Once it has faded from your memory, it is time to return and edit. The pause will allow you to read the manuscript from a fresh perspective and make edits as necessary.

I have summarized the most useful research paper editing tools in this article.

Tips for editing a research paper:

• Take time away from the research paper to forget about it; then returning to edit,
• Start by editing the content: structure, headings, paragraphs, logic, figures
• Continue by editing the grammar and language; perform a thorough language check using academic writing tools
• Read the entire paper out loud and correct what sounds weird

How to write a compelling Cover Letter for your paper

Begin the cover letter by stating the paper’s title and the type of paper you are submitting (review paper, research paper, short communication). Next, concisely explain why your study was performed, what was done, and what the key findings are. State why the results are important and what impact they might have in the field. Make sure you mention how your approach and findings relate to the scope of the journal in order to show why the article would be of interest to the journal’s readers.

I wrote a separate article that explains what to include in a cover letter here. You can also download a cover letter template from the article.

Tips for writing a cover letter:

• Explain how the findings of your research relate to journal’s scope
• Tell what impact the research results will have
• Show why the research paper will interest the journal’s audience
• Add any legal statements as required in journal’s guide for authors

How to Answer the Reviewers

Reviewers will often ask for new experiments, extended discussion, additional details on the experimental setup, and so forth. In principle, your primary winning tactic will be to agree with the reviewers and follow their suggestions whenever possible. After all, you must earn their blessing in order to get your paper published.

Be sure to answer each review query and stick to the point. In the response to the reviewers document write exactly where in the paper you have made any changes. In the paper itself, highlight the changes using a different color. This way the reviewers are less likely to re-read the entire article and suggest new edits.

In cases when you don’t agree with the reviewers, it makes sense to answer more thoroughly. Reviewers are scientifically minded people and so, with enough logical and supported argument, they will eventually be willing to see things your way.

Tips for answering the reviewers:

• Agree with most review comments, but if you don’t, thoroughly explain why
• Highlight changes in the manuscript
• Do not take the comments personally and cool down before answering

The LEAP research paper writing cheat sheet

Imagine that you are back in grad school and preparing to take an exam on the topic: “How to write a research paper”. As an exemplary student, you would, most naturally, create a cheat sheet summarizing the subject… Well, I did it for you.

This one-page summary of the LEAP research paper writing technique will remind you of the key research paper writing steps. Print it out and stick it to a wall in your office so that you can review it whenever you are writing a new research paper.

Now that we have gone through the four LEAP research paper writing steps, I hope you have a good idea of how to write a research paper. It can be an enjoyable process and once you get the hang of it, the four LEAP writing steps should even help you think about and interpret the research results. This process should enable you to write a well-structured, concise, and compelling research paper.

Have fund with writing your next research paper. I hope it will turn out great!

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How to Write a Methods Section for a Psychology Paper

Tips and Examples of an APA Methods Section

Verywell / Brianna Gilmartin 

The methods section of an APA format psychology paper provides the methods and procedures used in a research study or experiment . This part of an APA paper is critical because it allows other researchers to see exactly how you conducted your research.

Method refers to the procedure that was used in a research study. It included a precise description of how the experiments were performed and why particular procedures were selected. While the APA technically refers to this section as the 'method section,' it is also often known as a 'methods section.'

The methods section ensures the experiment's reproducibility and the assessment of alternative methods that might produce different results. It also allows researchers to replicate the experiment and judge the study's validity.

This article discusses how to write a methods section for a psychology paper, including important elements to include and tips that can help.

What to Include in a Method Section

So what exactly do you need to include when writing your method section? You should provide detailed information on the following:

• Research design
• Participants
• Participant behavior

The method section should provide enough information to allow other researchers to replicate your experiment or study.

Components of a Method Section

The method section should utilize subheadings to divide up different subsections. These subsections typically include participants, materials, design, and procedure.

Participants 

In this part of the method section, you should describe the participants in your experiment, including who they were (and any unique features that set them apart from the general population), how many there were, and how they were selected. If you utilized random selection to choose your participants, it should be noted here.

For example: "We randomly selected 100 children from elementary schools near the University of Arizona."

At the very minimum, this part of your method section must convey:

• Basic demographic characteristics of your participants (such as sex, age, ethnicity, or religion)
• The population from which your participants were drawn
• Any restrictions on your pool of participants
• How many participants were assigned to each condition and how they were assigned to each group (i.e., randomly assignment , another selection method, etc.)
• Why participants took part in your research (i.e., the study was advertised at a college or hospital, they received some type of incentive, etc.)

Information about participants helps other researchers understand how your study was performed, how generalizable the result might be, and allows other researchers to replicate the experiment with other populations to see if they might obtain the same results.

In this part of the method section, you should describe the materials, measures, equipment, or stimuli used in the experiment. This may include:

• Testing instruments
• Technical equipment
• Any psychological assessments that were used
• Any special equipment that was used

For example: "Two stories from Sullivan et al.'s (1994) second-order false belief attribution tasks were used to assess children's understanding of second-order beliefs."

For standard equipment such as computers, televisions, and videos, you can simply name the device and not provide further explanation.

Specialized equipment should be given greater detail, especially if it is complex or created for a niche purpose. In some instances, such as if you created a special material or apparatus for your study, you might need to include an illustration of the item in the appendix of your paper.

In this part of your method section, describe the type of design used in the experiment. Specify the variables as well as the levels of these variables. Identify:

• The independent variables
• Dependent variables
• Control variables
• Any extraneous variables that might influence your results.

Also, explain whether your experiment uses a  within-groups  or between-groups design.

For example: "The experiment used a 3x2 between-subjects design. The independent variables were age and understanding of second-order beliefs."

The next part of your method section should detail the procedures used in your experiment. Your procedures should explain:

• What the participants did
• How data was collected
• The order in which steps occurred

For example: "An examiner interviewed children individually at their school in one session that lasted 20 minutes on average. The examiner explained to each child that he or she would be told two short stories and that some questions would be asked after each story. All sessions were videotaped so the data could later be coded."

Keep this subsection concise yet detailed. Explain what you did and how you did it, but do not overwhelm your readers with too much information.

Tips for How to Write a Methods Section

In addition to following the basic structure of an APA method section, there are also certain things you should remember when writing this section of your paper. Consider the following tips when writing this section:

• Use the past tense : Always write the method section in the past tense.
• Be descriptive : Provide enough detail that another researcher could replicate your experiment, but focus on brevity. Avoid unnecessary detail that is not relevant to the outcome of the experiment.
• Use an academic tone : Use formal language and avoid slang or colloquial expressions. Word choice is also important. Refer to the people in your experiment or study as "participants" rather than "subjects."
• Use APA format : Keep a style guide on hand as you write your method section. The Publication Manual of the American Psychological Association is the official source for APA style.
• Make connections : Read through each section of your paper for agreement with other sections. If you mention procedures in the method section, these elements should be discussed in the results and discussion sections.
• Proofread : Check your paper for grammar, spelling, and punctuation errors.. typos, grammar problems, and spelling errors. Although a spell checker is a handy tool, there are some errors only you can catch.

After writing a draft of your method section, be sure to get a second opinion. You can often become too close to your work to see errors or lack of clarity. Take a rough draft of your method section to your university's writing lab for additional assistance.

A Word From Verywell

The method section is one of the most important components of your APA format paper. The goal of your paper should be to clearly detail what you did in your experiment. Provide enough detail that another researcher could replicate your study if they wanted.

Finally, if you are writing your paper for a class or for a specific publication, be sure to keep in mind any specific instructions provided by your instructor or by the journal editor. Your instructor may have certain requirements that you need to follow while writing your method section.

Frequently Asked Questions

While the subsections can vary, the three components that should be included are sections on the participants, the materials, and the procedures.

• Describe who the participants were in the study and how they were selected.
• Define and describe the materials that were used including any equipment, tests, or assessments
• Describe how the data was collected

To write your methods section in APA format, describe your participants, materials, study design, and procedures. Keep this section succinct, and always write in the past tense. The main heading of this section should be labeled "Method" and it should be centered, bolded, and capitalized. Each subheading within this section should be bolded, left-aligned and in title case.

The purpose of the methods section is to describe what you did in your experiment. It should be brief, but include enough detail that someone could replicate your experiment based on this information. Your methods section should detail what you did to answer your research question. Describe how the study was conducted, the study design that was used and why it was chosen, and how you collected the data and analyzed the results.

Erdemir F. How to write a materials and methods section of a scientific article ? Turk J Urol . 2013;39(Suppl 1):10-5. doi:10.5152/tud.2013.047

Kallet RH. How to write the methods section of a research paper . Respir Care . 2004;49(10):1229-32. PMID: 15447808.

American Psychological Association.  Publication Manual of the American Psychological Association  (7th ed.). Washington DC: The American Psychological Association; 2019.

American Psychological Association. APA Style Journal Article Reporting Standards . Published 2020.

By Kendra Cherry, MSEd Kendra Cherry, MS, is a psychosocial rehabilitation specialist, psychology educator, and author of the "Everything Psychology Book."

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APA Methods Section – How To Write It With Examples

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The APA methods section is a very important part of your academic paper, displaying how you conducted your research by providing a precise description of the methods and procedures you used for the study. This section ensures transparency, allowing other researchers to see exactly how you conducted your experiments. In APA style , the methods section usually includes subsections on participants, materials or measures, and procedures. This article discusses the APA methods section in detail.

Inhaltsverzeichnis

• 1 APA Methods Section – In a Nutshell
• 2 Definition: APA Methods Section
• 3 APA Methods Section: Structure
• 4 APA Methods Section: Participants
• 5 APA Methods Section: Materials
• 6 APA Methods Section: Procedure

APA Methods Section – In a Nutshell

• The APA methods section covers the participants, materials, and procedures.
• Under the ‘Participants’ heading of the APA methods section, you should state the relevant demographic characteristics of your participants.
• Accurately reporting the facts of the study can help other researchers determine how much the results can be generalized.

In what format are you currently required to submit your thesis?

Definition: APA Methods Section

The APA methods section describes the procedures you used to carry out your research and explains why particular processes were selected. It allows other researchers to replicate the study and make their own conclusions on the validity of the experiment.

APA Methods Section: Structure

• The main heading of the APA methods section should be written in bold and should be capitalized. It also has to be centered.
• All subheadings should be aligned to the left and must be boldfaced. You should select subheadings that are suitable for your essay, and the most commonly used include ‘Participants’, ‘Materials’, and ‘Procedure’.

Heading formats:

APA format has certain requirements for reporting different research designs. You should go through these guidelines to determine what you should mention for research using longitudinal designs , replication studies, and experimental designs .

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APA Methods Section: Participants

Under this subheading, you will have to report on the sample characteristics, the procedures used to collect samples, and the sample size selected.

Subject or Participant Characteristics

In academic studies, ‘participants’ refers to the people who take part in a study. If animals are used instead of human beings, the researcher can use the term ‘subjects’. In this subheading of the APA methods section, you have to describe the demographic characteristics of the participants, including their age, sex, race, ethnic group, education level, and gender identity. Depending on the nature of the study, other characteristics may be important. Some of these include:

• Education levels
• Language preference
• Immigration status

By describing the characteristics of the participants, readers will be able to determine how much the results can be generalized. Make sure you use bias-free language when writing this part of the APA methods section.

The study included 100 homosexual men and 100 homosexual women aged between 30 and 50 years from the city of London, UK.

Sampling Procedures

When selecting participants for your study, you will have to use certain sampling procedures. If the study could access all members of the population, you can say that you used random sampling methods. This section of the APA methods section should cover the percentage of respondents who participated in the research, and how they were chosen. You also need to state how participants were compensated and the ethical standard followed.

• Transgender male students from London were invited to participate in a study.
• Invites were sent to the students via email, social media posts, and posters in the schools.
• Each participant received $10 for the time spent in the study.
• The research obtained ethical approval before the participants were recruited.

Sample Size and Statistical Power

In this part of the APA methods section, you should give details on the sample size and statistical power you aimed at achieving. You should mention whether the final sample was the same as the intended sample. This section should show whether your research had enough statistical power to find any effects.

• The study aimed at a statistical power of 75% to detect an effect of 10% with an alpha of .05.
• 200 participants were required, and the study fulfilled these conditions.

APA Methods Section: Materials

Readers also need to know the materials you used for the study. This part of the APA methods section will give other researchers a good picture of the methods used to conduct the study.

Primary and secondary measures

Here, you should indicate the instruments used in the study, as well as the constructs they were meant to measure. Some of these are inventories, scales, tests, software, and hardware. Make sure you cover the following aspects:

• Reliability
• The Traumatic Stress Schedule (TSS) was used to measure the exposure to traumatic events.
• This 10-item chart requires participants to report lifelong exposure to traumatic stress.
• For example, they could indicate whether they suffered the traumatic death of a loved one.
• The Davidson Trauma Scale was also used to assess the symptoms of trauma.

Under this subheading of the APA methods section, you should also mention covariates or additional variables that can explain the outcomes.

Quality of measurements

You can mention the strategies you applied to ensure data integrity and reliability. These may include:

• Training the interviewers
• Establishing clear data nominalization procedures
• Rigorous data handling and analysis processes
• Having multiple people assess the data

If the data was subjectively coded, you should indicate the interrater reliability scores in the APA methods section.

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APA Methods Section: Procedure

This part of the APA methods section indicates the methods you used to carry out the research, process the data, and analyze the results.

Research Design and Data Collection Methods

Data collection is the systematic gathering of observations and measurements, and you have to describe all procedures used in this process. You can use supplementary materials to describe long and complicated data collection methods.

When reporting the research design, you should mention the framework of the study. This could be experimental, longitudinal, correlational, or descriptive. Additionally, you should mention whether you used a between-subjects design or within-subjects design .

In this part of the APA methods section, you should also mention whether any masking methods were used to hide condition assignments from the participants.

• Participants are told the research takes an hour covers their personal experiences in school.
• They were assured that the reports would be confidential and were asked to give consent.
• The participants were asked to fill in questionnaires .
• The control group was given an unrelated filler task, after which they filled a questionnaire.
• It was determined the experiences of homosexual and CIS-gendered students varied.

Data diagnostics

This part of the APA method section outlines the steps taken to process the data. It includes:

• Methods of identifying and controlling outliers
• Data transformation procedures
• Methods of compensating for missing values

Analytic strategies

This subheading of the APA methods section describes the analytic strategies used, but you shouldn’t mention the outcomes. The primary and secondary hypotheses use past studies or theoretical frameworks , while exploratory hypotheses focus on the data in the study.

We started by assessing the demographic differences between the two groups. We also performed an independent samples t-test on the test scores .

What are the parts of an APA methods section?

In this section, you should include the study participants, the methods used, and the procedures.

What is included in the APA methods section?

The methods section covers the participants or subject characteristics, the sampling procedures, the sample size, the measures used, the data collection methods, the research design, the data analysis strategy, and the data processing method.

Should I use the Oxford comma when writing the APA methods section?

Yes, the serial comma is required when writing the APA methods section.

Should I use the first person to write the APA methods section?

Yes, the APA language guidelines encourage researchers to use first-person pronouns when writing the methods section.

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• Writing Tips

How to Write the Methods Section of an APA Paper

• 3-minute read
• 23rd December 2021

If you’re a researcher writing an APA paper , you’ll need to include a Methods section. This part explains the methods you used to conduct your experiment or research study and is always written in the past tense.

It’s crucial that you include all the relevant information here because other researchers will use this section to recreate your study, as well as judge how valid and accurate your results are.

In this guide, we’ll show you how to write a clear and comprehensive Methods section for your research paper.

Structuring the Methods Section

This section of an APA paper is typically split into three subsections under the following subheadings:

• Participants —who took part in the experiment and why?
• Materials —what tools did you use to conduct the experiment?
• Procedure —what steps were involved in the experiment?

If necessary, you may add further subsections. Different institutions have specific rules on what subsections should be included (for example, some universities require a “Design” subsection), so make sure to check your institution’s requirements before you start writing your Methods section.

Writing the Participants Subsection

In this first subsection, you will need to identify the participants of your experiment or study. You should include:

●  How many people took part, and how many were assigned to the experimental condition

●  How they were selected for participation

●  Any relevant demographic information (e.g., age, sex, ethnicity)

You’ll also need to address whether any restrictions were placed on who was selected and if any incentives were offered to encourage participants to take part.

Writing the Materials Subsection

In this subsection, you should address the materials, equipment, measures, and stimuli used in the study. These might include technology and computer software, tools such as questionnaires and psychological assessments, and, if relevant, the physical setting where the study took place.

You’ll need to describe specialist equipment in detail, especially if it has a niche purpose. However, you don’t need to provide specific information about common or standard equipment (e.g., the type of computer on which participants completed a survey) unless it’s relevant to the experiment.

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In addition, you don’t need to explain a material in depth if it’s well known within your field, such as a famous psychological assessment. Instead, you can provide a citation referring to that material.

If any materials were designed specifically for the experiment, such as a questionnaire, you’ll need to provide such materials in the appendix .

Writing the Procedure Subsection

The procedure subsection should describe what you had participants do in a step-by-step format. It should be detailed but concise and will typically include:

●  A summary of the instructions given to participants (as well as any information that was intentionally withheld)

●  A description of how participants in different conditions were treated

●  How long each step of the process took

●  How participants were debriefed or dismissed at the end of the experiment

After detailing the steps of the experiment, you should then address the methods you used to collect and analyze data.

Proofreading Your Methods Section

Because the Methods section of your paper will help other researchers understand and recreate your experiment, you’ll want your writing to be at its best.

Our expert research paper proofreaders can help your research get the recognition it deserves by making sure your work is clear, concise, and error-free. Why not try our services for free by submitting a trial document ?

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How To Write The Methodology Chapter

The what, why & how explained simply (with examples).

By: Jenna Crossley (PhD) | Reviewed By: Dr. Eunice Rautenbach | September 2021 (Updated April 2023)

So, you’ve pinned down your research topic and undertaken a review of the literature – now it’s time to write up the methodology section of your dissertation, thesis or research paper . But what exactly is the methodology chapter all about – and how do you go about writing one? In this post, we’ll unpack the topic, step by step .

Overview: The Methodology Chapter

• The purpose  of the methodology chapter
• Why you need to craft this chapter (really) well
• How to write and structure the chapter
• Methodology chapter example
• Essential takeaways

What (exactly) is the methodology chapter?

The methodology chapter is where you outline the philosophical underpinnings of your research and outline the specific methodological choices you’ve made. The point of the methodology chapter is to tell the reader exactly how you designed your study and, just as importantly, why you did it this way.

Importantly, this chapter should comprehensively describe and justify all the methodological choices you made in your study. For example, the approach you took to your research (i.e., qualitative, quantitative or mixed), who  you collected data from (i.e., your sampling strategy), how you collected your data and, of course, how you analysed it. If that sounds a little intimidating, don’t worry – we’ll explain all these methodological choices in this post .

Why is the methodology chapter important?

The methodology chapter plays two important roles in your dissertation or thesis:

Firstly, it demonstrates your understanding of research theory, which is what earns you marks. A flawed research design or methodology would mean flawed results. So, this chapter is vital as it allows you to show the marker that you know what you’re doing and that your results are credible .

Secondly, the methodology chapter is what helps to make your study replicable. In other words, it allows other researchers to undertake your study using the same methodological approach, and compare their findings to yours. This is very important within academic research, as each study builds on previous studies.

The methodology chapter is also important in that it allows you to identify and discuss any methodological issues or problems you encountered (i.e., research limitations ), and to explain how you mitigated the impacts of these. Every research project has its limitations , so it’s important to acknowledge these openly and highlight your study’s value despite its limitations . Doing so demonstrates your understanding of research design, which will earn you marks. We’ll discuss limitations in a bit more detail later in this post, so stay tuned!

Need a helping hand?

How to write up the methodology chapter

First off, it’s worth noting that the exact structure and contents of the methodology chapter will vary depending on the field of research (e.g., humanities, chemistry or engineering) as well as the university . So, be sure to always check the guidelines provided by your institution for clarity and, if possible, review past dissertations from your university. Here we’re going to discuss a generic structure for a methodology chapter typically found in the sciences.

Before you start writing, it’s always a good idea to draw up a rough outline to guide your writing. Don’t just start writing without knowing what you’ll discuss where. If you do, you’ll likely end up with a disjointed, ill-flowing narrative . You’ll then waste a lot of time rewriting in an attempt to try to stitch all the pieces together. Do yourself a favour and start with the end in mind .

Section 1 – Introduction

As with all chapters in your dissertation or thesis, the methodology chapter should have a brief introduction. In this section, you should remind your readers what the focus of your study is, especially the research aims . As we’ve discussed many times on the blog, your methodology needs to align with your research aims, objectives and research questions. Therefore, it’s useful to frontload this component to remind the reader (and yourself!) what you’re trying to achieve.

In this section, you can also briefly mention how you’ll structure the chapter. This will help orient the reader and provide a bit of a roadmap so that they know what to expect. You don’t need a lot of detail here – just a brief outline will do.

Section 2 – The Methodology

The next section of your chapter is where you’ll present the actual methodology. In this section, you need to detail and justify the key methodological choices you’ve made in a logical, intuitive fashion. Importantly, this is the heart of your methodology chapter, so you need to get specific – don’t hold back on the details here. This is not one of those “less is more” situations.

Let’s take a look at the most common components you’ll likely need to cover. 

Methodological Choice #1 – Research Philosophy

Research philosophy refers to the underlying beliefs (i.e., the worldview) regarding how data about a phenomenon should be gathered , analysed and used . The research philosophy will serve as the core of your study and underpin all of the other research design choices, so it’s critically important that you understand which philosophy you’ll adopt and why you made that choice. If you’re not clear on this, take the time to get clarity before you make any further methodological choices.

While several research philosophies exist, two commonly adopted ones are positivism and interpretivism . These two sit roughly on opposite sides of the research philosophy spectrum.

Positivism states that the researcher can observe reality objectively and that there is only one reality, which exists independently of the observer. As a consequence, it is quite commonly the underlying research philosophy in quantitative studies and is oftentimes the assumed philosophy in the physical sciences.

Contrasted with this, interpretivism , which is often the underlying research philosophy in qualitative studies, assumes that the researcher performs a role in observing the world around them and that reality is unique to each observer . In other words, reality is observed subjectively .

These are just two philosophies (there are many more), but they demonstrate significantly different approaches to research and have a significant impact on all the methodological choices. Therefore, it’s vital that you clearly outline and justify your research philosophy at the beginning of your methodology chapter, as it sets the scene for everything that follows.

Methodological Choice #2 – Research Type

The next thing you would typically discuss in your methodology section is the research type. The starting point for this is to indicate whether the research you conducted is inductive or deductive .

Inductive research takes a bottom-up approach , where the researcher begins with specific observations or data and then draws general conclusions or theories from those observations. Therefore these studies tend to be exploratory in terms of approach.

Conversely , d eductive research takes a top-down approach , where the researcher starts with a theory or hypothesis and then tests it using specific observations or data. Therefore these studies tend to be confirmatory in approach.

Related to this, you’ll need to indicate whether your study adopts a qualitative, quantitative or mixed  approach. As we’ve mentioned, there’s a strong link between this choice and your research philosophy, so make sure that your choices are tightly aligned . When you write this section up, remember to clearly justify your choices, as they form the foundation of your study.

Methodological Choice #3 – Research Strategy

Next, you’ll need to discuss your research strategy (also referred to as a research design ). This methodological choice refers to the broader strategy in terms of how you’ll conduct your research, based on the aims of your study.

Several research strategies exist, including experimental , case studies , ethnography , grounded theory, action research , and phenomenology . Let’s take a look at two of these, experimental and ethnographic, to see how they contrast.

Experimental research makes use of the scientific method , where one group is the control group (in which no variables are manipulated ) and another is the experimental group (in which a specific variable is manipulated). This type of research is undertaken under strict conditions in a controlled, artificial environment (e.g., a laboratory). By having firm control over the environment, experimental research typically allows the researcher to establish causation between variables. Therefore, it can be a good choice if you have research aims that involve identifying causal relationships.

Ethnographic research , on the other hand, involves observing and capturing the experiences and perceptions of participants in their natural environment (for example, at home or in the office). In other words, in an uncontrolled environment.  Naturally, this means that this research strategy would be far less suitable if your research aims involve identifying causation, but it would be very valuable if you’re looking to explore and examine a group culture, for example.

As you can see, the right research strategy will depend largely on your research aims and research questions – in other words, what you’re trying to figure out. Therefore, as with every other methodological choice, it’s essential to justify why you chose the research strategy you did.

Methodological Choice #4 – Time Horizon

The next thing you’ll need to detail in your methodology chapter is the time horizon. There are two options here: cross-sectional and longitudinal . In other words, whether the data for your study were all collected at one point in time (cross-sectional) or at multiple points in time (longitudinal).

The choice you make here depends again on your research aims, objectives and research questions. If, for example, you aim to assess how a specific group of people’s perspectives regarding a topic change over time , you’d likely adopt a longitudinal time horizon.

Another important factor to consider is simply whether you have the time necessary to adopt a longitudinal approach (which could involve collecting data over multiple months or even years). Oftentimes, the time pressures of your degree program will force your hand into adopting a cross-sectional time horizon, so keep this in mind.

Methodological Choice #5 – Sampling Strategy

Next, you’ll need to discuss your sampling strategy . There are two main categories of sampling, probability and non-probability sampling.

Probability sampling involves a random (and therefore representative) selection of participants from a population, whereas non-probability sampling entails selecting participants in a non-random  (and therefore non-representative) manner. For example, selecting participants based on ease of access (this is called a convenience sample).

The right sampling approach depends largely on what you’re trying to achieve in your study. Specifically, whether you trying to develop findings that are generalisable to a population or not. Practicalities and resource constraints also play a large role here, as it can oftentimes be challenging to gain access to a truly random sample. In the video below, we explore some of the most common sampling strategies.

Methodological Choice #6 – Data Collection Method

Next up, you’ll need to explain how you’ll go about collecting the necessary data for your study. Your data collection method (or methods) will depend on the type of data that you plan to collect – in other words, qualitative or quantitative data.

Typically, quantitative research relies on surveys , data generated by lab equipment, analytics software or existing datasets. Qualitative research, on the other hand, often makes use of collection methods such as interviews , focus groups , participant observations, and ethnography.

So, as you can see, there is a tight link between this section and the design choices you outlined in earlier sections. Strong alignment between these sections, as well as your research aims and questions is therefore very important.

Methodological Choice #7 – Data Analysis Methods/Techniques

The final major methodological choice that you need to address is that of analysis techniques . In other words, how you’ll go about analysing your date once you’ve collected it. Here it’s important to be very specific about your analysis methods and/or techniques – don’t leave any room for interpretation. Also, as with all choices in this chapter, you need to justify each choice you make.

What exactly you discuss here will depend largely on the type of study you’re conducting (i.e., qualitative, quantitative, or mixed methods). For qualitative studies, common analysis methods include content analysis , thematic analysis and discourse analysis . In the video below, we explain each of these in plain language.

For quantitative studies, you’ll almost always make use of descriptive statistics , and in many cases, you’ll also use inferential statistical techniques (e.g., correlation and regression analysis). In the video below, we unpack some of the core concepts involved in descriptive and inferential statistics.

In this section of your methodology chapter, it’s also important to discuss how you prepared your data for analysis, and what software you used (if any). For example, quantitative data will often require some initial preparation such as removing duplicates or incomplete responses . Similarly, qualitative data will often require transcription and perhaps even translation. As always, remember to state both what you did and why you did it.

Section 3 – The Methodological Limitations

With the key methodological choices outlined and justified, the next step is to discuss the limitations of your design. No research methodology is perfect – there will always be trade-offs between the “ideal” methodology and what’s practical and viable, given your constraints. Therefore, this section of your methodology chapter is where you’ll discuss the trade-offs you had to make, and why these were justified given the context.

Methodological limitations can vary greatly from study to study, ranging from common issues such as time and budget constraints to issues of sample or selection bias . For example, you may find that you didn’t manage to draw in enough respondents to achieve the desired sample size (and therefore, statistically significant results), or your sample may be skewed heavily towards a certain demographic, thereby negatively impacting representativeness .

In this section, it’s important to be critical of the shortcomings of your study. There’s no use trying to hide them (your marker will be aware of them regardless). By being critical, you’ll demonstrate to your marker that you have a strong understanding of research theory, so don’t be shy here. At the same time, don’t beat your study to death . State the limitations, why these were justified, how you mitigated their impacts to the best degree possible, and how your study still provides value despite these limitations .

Section 4 – Concluding Summary

Finally, it’s time to wrap up the methodology chapter with a brief concluding summary. In this section, you’ll want to concisely summarise what you’ve presented in the chapter. Here, it can be a good idea to use a figure to summarise the key decisions, especially if your university recommends using a specific model (for example, Saunders’ Research Onion ).

Importantly, this section needs to be brief – a paragraph or two maximum (it’s a summary, after all). Also, make sure that when you write up your concluding summary, you include only what you’ve already discussed in your chapter; don’t add any new information.

Methodology Chapter Example

In the video below, we walk you through an example of a high-quality research methodology chapter from a dissertation. We also unpack our free methodology chapter template so that you can see how best to structure your chapter.

Wrapping Up

And there you have it – the methodology chapter in a nutshell. As we’ve mentioned, the exact contents and structure of this chapter can vary between universities , so be sure to check in with your institution before you start writing. If possible, try to find dissertations or theses from former students of your specific degree program – this will give you a strong indication of the expectations and norms when it comes to the methodology chapter (and all the other chapters!).

Also, remember the golden rule of the methodology chapter – justify every choice ! Make sure that you clearly explain the “why” for every “what”, and reference credible methodology textbooks or academic sources to back up your justifications.

If you need a helping hand with your research methodology (or any other component of your research), be sure to check out our private coaching service , where we hold your hand through every step of the research journey. Until next time, good luck!

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This post was based on one of our popular Research Bootcamps . If you're working on a research project, you'll definitely want to check this out ...

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How to Write a Methods Section for a Research Paper

A common piece of advice for authors preparing their first journal article for publication is to start with the methods section: just list everything that was done and go from there. While that might seem like a very practical approach to a first draft, if you do this without a clear outline and a story in mind, you can easily end up with journal manuscript sections that are not logically related to each other. 

Since the methods section constitutes the core of your paper, no matter when you write it, you need to use it to guide the reader carefully through your story from beginning to end without leaving questions unanswered. Missing or confusing details in this section will likely lead to early rejection of your manuscript or unnecessary back-and-forth with the reviewers until eventual publication. Here, you will find some useful tips on how to make your methods section the logical foundation of your research paper.

Not just a list of experiments and methods

While your introduction section provides the reader with the necessary background to understand your rationale and research question (and, depending on journal format and your personal preference, might already summarize the results), the methods section explains what exactly you did and how you did it. The point of this section is not to list all the boring details just for the sake of completeness. The purpose of the methods sections is to enable the reader to replicate exactly what you did, verify or corroborate your results, or maybe find that there are factors you did not consider or that are more relevant than expected. 

To make this section as easy to read as possible, you must clearly connect it to the information you provide in the introduction section before and the results section after, it needs to have a clear structure (chronologically or according to topics), and you need to present your results according to the same structure or topics later in the manuscript. There are also official guidelines and journal instructions to follow and ethical issues to avoid to ensure that your manuscript can quickly reach the publication stage.

Table of Contents:

• General Methods Structure: What is Your Story? 
• What Methods Should You Report (and Leave Out)? 
• Details Frequently Missing from the Methods Section

More Journal Guidelines to Consider 

• Accurate and Appropriate Language in the Methods

General Methods Section Structure: What Is Your Story? 

You might have conducted a number of experiments, maybe also a pilot before the main study to determine some specific factors or a follow-up experiment to clarify unclear details later in the process. Throwing all of these into your methods section, however, might not help the reader understand how everything is connected and how useful and appropriate your methodological approach is to investigate your specific research question. You therefore need to first come up with a clear outline and decide what to report and how to present that to the reader.

The first (and very important) decision to make is whether you present your experiments chronologically (e.g., Experiment 1, Experiment 2, Experiment 3… ), and guide the reader through every step of the process, or if you organize everything according to subtopics (e.g., Behavioral measures, Structural imaging markers, Functional imaging markers… ). In both cases, you need to use clear subheaders for the different subsections of your methods, and, very importantly, follow the same structure or focus on the same topics/measures in the results section so that the reader can easily follow along (see the two examples below).

If you are in doubt which way of organizing your experiments is better for your study, just ask yourself the following questions:

• Does the reader need to know the timeline of your study? 
• Is it relevant that one experiment was conducted first, because the outcome of this experiment determined the stimuli or factors that went into the next?
• Did the results of your first experiment leave important questions open that you addressed in an additional experiment (that was maybe not planned initially)?
• Is the answer to all of these questions “no”? Then organizing your methods section according to topics of interest might be the more logical choice.

If you think your timeline, protocol, or setup might be confusing or difficult for the reader to grasp, consider adding a graphic, flow diagram, decision tree, or table as a visual aid.

What Methods Should You Report (and Leave Out)?

The answer to this question is quite simple–you need to report everything that another researcher needs to know to be able to replicate your study. Just imagine yourself reading your methods section in the future and trying to set up the same experiments again without prior knowledge. You would probably need to ask questions such as:

• Where did you conduct your experiments (e.g., in what kind of room, under what lighting or temperature conditions, if those are relevant)? 
• What devices did you use? Are there specific settings to report?
• What specific software (and version of that software) did you use?
• How did you find and select your participants?
• How did you assign participants into groups?  
• Did you exclude participants from the analysis? Why and how?
• Where did your reagents or antibodies come from? Can you provide a Research Resource Identifier (RRID) ?
• Did you make your stimuli yourself or did you get them from somewhere?
• Are the stimuli you used available for other researchers?
• What kind of questionnaires did you use? Have they been validated?
• How did you analyze your data? What level of significance did you use?
• Were there any technical issues and did you have to adjust protocols?

Note that for every experimental detail you provide, you need to tell the reader (briefly) why you used this type of stimulus/this group of participants/these specific amounts of reagents. If there is earlier published research reporting the same methods, cite those studies. If you did pilot experiments to determine those details, describe the procedures and the outcomes of these experiments. If you made assumptions about the suitability of something based on the literature and common practice at your institution, then explain that to the reader.

In a nutshell, established methods need to be cited, and new methods need to be clearly described and briefly justified. However, if the fact that you use a new approach or a method that is not traditionally used for the data or phenomenon you study is one of the main points of your study (and maybe already reflected in the title of your article), then you need to explain your rationale for doing so in the introduction already and discuss it in more detail in the discussion section .

Note that you also need to explain your statistical analyses at the end of your methods section. You present the results of these analyses later, in the results section of your paper, but you need to show the reader in the methods section already that your approach is either well-established or valid, even if it is new or unusual. 

When it comes to the question of what details you should leave out, the answer is equally simple ‒ everything that you would not need to replicate your study in the future. If the educational background of your participants is listed in your institutional database but is not relevant to your study outcome, then don’t include that. Other things you should not include in the methods section:

• Background information that you already presented in the introduction section.
• In-depth comparisons of different methods ‒ these belong in the discussion section.
• Results, unless you summarize outcomes of pilot experiments that helped you determine factors for your main experiment.

Also, make sure your subheadings are as clear as possible, suit the structure you chose for your methods section, and are in line with the target journal guidelines. If you studied a disease intervention in human participants, then your methods section could look similar to this:

Since the main point of interest here are your patient-centered outcome variables, you would center your results section on these as well and choose your headers accordingly (e.g., Patient characteristics, Baseline evaluation, Outcome variable 1, Outcome variable 2, Drop-out rate ). 

If, instead, you did a series of visual experiments investigating the perception of faces including a pilot experiment to create the stimuli for your actual study, you would need to structure your methods section in a very different way, maybe like this:

Since here the analysis and outcome of the pilot experiment are already described in the methods section (as the basis for the main experimental setup and procedure), you do not have to mention it again in the results section. Instead, you could choose the two main experiments to structure your results section ( Discrimination and classification, Familiarization and adaptation ), or divide the results into all your test measures and/or potential interactions you described in the methods section (e.g., Discrimination performance, Classification performance, Adaptation aftereffects, Correlation analysis ).

Details Commonly Missing from the Methods Section

Manufacturer information.

For laboratory or technical equipment, you need to provide the model, name of the manufacturer, and company’s location. The usual format for these details is the product name (company name, city, state) for US-based manufacturers and the product name (company name, city/town, country) for companies outside the US.

Sample size and power estimation

Power and sample size estimations are measures for how many patients or participants are needed in a study in order to detect statistical significance and draw meaningful conclusions from the results. Outside of the medical field, studies are sometimes still conducted with a “the more the better” approach in mind, but since many journals now ask for those details, it is better to not skip this important step.

Ethical guidelines and approval

In addition to describing what you did, you also need to assure the editor and reviewers that your methods and protocols followed all relevant ethical standards and guidelines. This includes applying for approval at your local or national ethics committee, providing the name or location of that committee as well as the approval reference number you received, and, if you studied human participants, a statement that participants were informed about all relevant experimental details in advance and signed consent forms before the start of the study. For animal studies, you usually need to provide a statement that all procedures included in your research were in line with the Declaration of Helsinki. Make sure you check the target journal guidelines carefully, as these statements sometimes need to be placed at the end of the main article text rather than in the method section.

Structure & word limitations

While many journals simply follow the usual style guidelines (e.g., APA for the social sciences and psychology, AMA for medical research) and let you choose the headers of your method section according to your preferred structure and focus, some have precise guidelines and strict limitations, for example, on manuscript length and the maximum number of subsections or header levels. Make sure you read the instructions of your target journal carefully and restructure your method section if necessary before submission. If the journal does not give you enough space to include all the details that you deem necessary, then you can usually submit additional details as “supplemental” files and refer to those in the main text where necessary.

Standardized checklists

In addition to ethical guidelines and approval, journals also often ask you to submit one of the official standardized checklists for different study types to ensure all essential details are included in your manuscript. For example, there are checklists for randomized clinical trials, CONSORT (Consolidated Standards of Reporting Trials) , cohort, case-control, cross‐sectional studies, STROBE (STrengthening the Reporting of OBservational studies in Epidemiology ), diagnostic accuracy, STARD (STAndards for the Reporting of Diagnostic accuracy studies) , systematic reviews and meta‐analyses PRISMA (Preferred Reporting Items for Systematic reviews and Meta‐Analyses) , and Case reports, CARE (CAse REport) .

Make sure you check if the manuscript uses a single- or double-blind review procedure , and delete all information that might allow a reviewer to guess where the authors are located from the manuscript text if necessary. This means that your method section cannot list the name and location of your institution, the names of researchers who conducted specific tests, or the name of your institutional ethics committee.  

Accurate and Appropriate Language in the Methods Section

Like all sections of your research paper, your method section needs to be written in an academic tone . That means it should be formal, vague expressions and colloquial language need to be avoided, and you need to correctly cite all your sources. If you describe human participants in your method section then you should be especially careful about your choice of words. For example, “participants” sounds more respectful than “subjects,” and patient-first language, that is, “patients with cancer,” is considered more appropriate than “cancer patients” by many journals.

Passive voice is often considered the standard for research papers, but it is completely fine to mix passive and active voice, even in the method section, to make your text as clear and concise as possible. Use the simple past tense to describe what you did, and the present tense when you refer to diagrams or tables. Have a look at this article if you need more general input on which verb tenses to use in a research paper . 

Lastly, make sure you label all the standard tests and questionnaires you use correctly (look up the original publication when in doubt) and spell genes and proteins according to the common databases for the species you studied, such as the HUGO Gene Nomenclature Committee database for human studies .  

Visit Wordvice AI’s AI Text Editor to receive a free grammar check and English editing services (including manuscript editing , paper editing , and dissertation editing ) before submitting your manuscript to journal editors.

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• What Is a Research Methodology? | Steps & Tips

What Is a Research Methodology? | Steps & Tips

Published on August 25, 2022 by Shona McCombes and Tegan George. Revised on November 20, 2023.

Your research methodology discusses and explains the data collection and analysis methods you used in your research. A key part of your thesis, dissertation , or research paper , the methodology chapter explains what you did and how you did it, allowing readers to evaluate the reliability and validity of your research and your dissertation topic .

It should include:

• The type of research you conducted
• How you collected and analyzed your data
• Any tools or materials you used in the research
• How you mitigated or avoided research biases
• Why you chose these methods
• Your methodology section should generally be written in the past tense .
• Academic style guides in your field may provide detailed guidelines on what to include for different types of studies.
• Your citation style might provide guidelines for your methodology section (e.g., an APA Style methods section ).

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Table of contents

How to write a research methodology, why is a methods section important, step 1: explain your methodological approach, step 2: describe your data collection methods, step 3: describe your analysis method, step 4: evaluate and justify the methodological choices you made, tips for writing a strong methodology chapter, other interesting articles, frequently asked questions about methodology.

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Your methods section is your opportunity to share how you conducted your research and why you chose the methods you chose. It’s also the place to show that your research was rigorously conducted and can be replicated .

It gives your research legitimacy and situates it within your field, and also gives your readers a place to refer to if they have any questions or critiques in other sections.

You can start by introducing your overall approach to your research. You have two options here.

Option 1: Start with your “what”

What research problem or question did you investigate?

• Aim to describe the characteristics of something?
• Explore an under-researched topic?
• Establish a causal relationship?

And what type of data did you need to achieve this aim?

• Quantitative data , qualitative data , or a mix of both?
• Primary data collected yourself, or secondary data collected by someone else?
• Experimental data gathered by controlling and manipulating variables, or descriptive data gathered via observations?

Option 2: Start with your “why”

Depending on your discipline, you can also start with a discussion of the rationale and assumptions underpinning your methodology. In other words, why did you choose these methods for your study?

• Why is this the best way to answer your research question?
• Is this a standard methodology in your field, or does it require justification?
• Were there any ethical considerations involved in your choices?
• What are the criteria for validity and reliability in this type of research ? How did you prevent bias from affecting your data?

Once you have introduced your reader to your methodological approach, you should share full details about your data collection methods .

Quantitative methods

In order to be considered generalizable, you should describe quantitative research methods in enough detail for another researcher to replicate your study.

Here, explain how you operationalized your concepts and measured your variables. Discuss your sampling method or inclusion and exclusion criteria , as well as any tools, procedures, and materials you used to gather your data.

Surveys Describe where, when, and how the survey was conducted.

• How did you design the questionnaire?
• What form did your questions take (e.g., multiple choice, Likert scale )?
• Were your surveys conducted in-person or virtually?
• What sampling method did you use to select participants?
• What was your sample size and response rate?

Experiments Share full details of the tools, techniques, and procedures you used to conduct your experiment.

• How did you design the experiment ?
• How did you recruit participants?
• How did you manipulate and measure the variables ?
• What tools did you use?

Existing data Explain how you gathered and selected the material (such as datasets or archival data) that you used in your analysis.

• Where did you source the material?
• How was the data originally produced?
• What criteria did you use to select material (e.g., date range)?

The survey consisted of 5 multiple-choice questions and 10 questions measured on a 7-point Likert scale.

The goal was to collect survey responses from 350 customers visiting the fitness apparel company’s brick-and-mortar location in Boston on July 4–8, 2022, between 11:00 and 15:00.

Here, a customer was defined as a person who had purchased a product from the company on the day they took the survey. Participants were given 5 minutes to fill in the survey anonymously. In total, 408 customers responded, but not all surveys were fully completed. Due to this, 371 survey results were included in the analysis.

• Information bias
• Omitted variable bias
• Regression to the mean
• Survivorship bias
• Undercoverage bias
• Sampling bias

Qualitative methods

In qualitative research , methods are often more flexible and subjective. For this reason, it’s crucial to robustly explain the methodology choices you made.

Be sure to discuss the criteria you used to select your data, the context in which your research was conducted, and the role you played in collecting your data (e.g., were you an active participant, or a passive observer?)

Interviews or focus groups Describe where, when, and how the interviews were conducted.

• How did you find and select participants?
• How many participants took part?
• What form did the interviews take ( structured , semi-structured , or unstructured )?
• How long were the interviews?
• How were they recorded?

Participant observation Describe where, when, and how you conducted the observation or ethnography .

• What group or community did you observe? How long did you spend there?
• How did you gain access to this group? What role did you play in the community?
• How long did you spend conducting the research? Where was it located?
• How did you record your data (e.g., audiovisual recordings, note-taking)?

Existing data Explain how you selected case study materials for your analysis.

• What type of materials did you analyze?
• How did you select them?

In order to gain better insight into possibilities for future improvement of the fitness store’s product range, semi-structured interviews were conducted with 8 returning customers.

Here, a returning customer was defined as someone who usually bought products at least twice a week from the store.

Surveys were used to select participants. Interviews were conducted in a small office next to the cash register and lasted approximately 20 minutes each. Answers were recorded by note-taking, and seven interviews were also filmed with consent. One interviewee preferred not to be filmed.

• The Hawthorne effect
• Observer bias
• The placebo effect
• Response bias and Nonresponse bias
• The Pygmalion effect
• Recall bias
• Social desirability bias
• Self-selection bias

Mixed methods

Mixed methods research combines quantitative and qualitative approaches. If a standalone quantitative or qualitative study is insufficient to answer your research question, mixed methods may be a good fit for you.

Mixed methods are less common than standalone analyses, largely because they require a great deal of effort to pull off successfully. If you choose to pursue mixed methods, it’s especially important to robustly justify your methods.

Next, you should indicate how you processed and analyzed your data. Avoid going into too much detail: you should not start introducing or discussing any of your results at this stage.

In quantitative research , your analysis will be based on numbers. In your methods section, you can include:

• How you prepared the data before analyzing it (e.g., checking for missing data , removing outliers , transforming variables)
• Which software you used (e.g., SPSS, Stata or R)
• Which statistical tests you used (e.g., two-tailed t test , simple linear regression )

In qualitative research, your analysis will be based on language, images, and observations (often involving some form of textual analysis ).

Specific methods might include:

• Content analysis : Categorizing and discussing the meaning of words, phrases and sentences
• Thematic analysis : Coding and closely examining the data to identify broad themes and patterns
• Discourse analysis : Studying communication and meaning in relation to their social context

Mixed methods combine the above two research methods, integrating both qualitative and quantitative approaches into one coherent analytical process.

Above all, your methodology section should clearly make the case for why you chose the methods you did. This is especially true if you did not take the most standard approach to your topic. In this case, discuss why other methods were not suitable for your objectives, and show how this approach contributes new knowledge or understanding.

In any case, it should be overwhelmingly clear to your reader that you set yourself up for success in terms of your methodology’s design. Show how your methods should lead to results that are valid and reliable, while leaving the analysis of the meaning, importance, and relevance of your results for your discussion section .

• Quantitative: Lab-based experiments cannot always accurately simulate real-life situations and behaviors, but they are effective for testing causal relationships between variables .
• Qualitative: Unstructured interviews usually produce results that cannot be generalized beyond the sample group , but they provide a more in-depth understanding of participants’ perceptions, motivations, and emotions.
• Mixed methods: Despite issues systematically comparing differing types of data, a solely quantitative study would not sufficiently incorporate the lived experience of each participant, while a solely qualitative study would be insufficiently generalizable.

Remember that your aim is not just to describe your methods, but to show how and why you applied them. Again, it’s critical to demonstrate that your research was rigorously conducted and can be replicated.

1. Focus on your objectives and research questions

The methodology section should clearly show why your methods suit your objectives and convince the reader that you chose the best possible approach to answering your problem statement and research questions .

2. Cite relevant sources

Your methodology can be strengthened by referencing existing research in your field. This can help you to:

• Show that you followed established practice for your type of research
• Discuss how you decided on your approach by evaluating existing research
• Present a novel methodological approach to address a gap in the literature

3. Write for your audience

Consider how much information you need to give, and avoid getting too lengthy. If you are using methods that are standard for your discipline, you probably don’t need to give a lot of background or justification.

Regardless, your methodology should be a clear, well-structured text that makes an argument for your approach, not just a list of technical details and procedures.

If you want to know more about statistics , methodology , or research bias , make sure to check out some of our other articles with explanations and examples.

• Normal distribution
• Measures of central tendency
• Chi square tests
• Confidence interval
• Quartiles & Quantiles

Methodology

• Cluster sampling
• Stratified sampling
• Thematic analysis
• Cohort study
• Peer review
• Ethnography

Research bias

• Implicit bias
• Cognitive bias
• Conformity bias
• Hawthorne effect
• Availability heuristic
• Attrition bias

Methodology refers to the overarching strategy and rationale of your research project . It involves studying the methods used in your field and the theories or principles behind them, in order to develop an approach that matches your objectives.

Methods are the specific tools and procedures you use to collect and analyze data (for example, experiments, surveys , and statistical tests ).

In shorter scientific papers, where the aim is to report the findings of a specific study, you might simply describe what you did in a methods section .

In a longer or more complex research project, such as a thesis or dissertation , you will probably include a methodology section , where you explain your approach to answering the research questions and cite relevant sources to support your choice of methods.

In a scientific paper, the methodology always comes after the introduction and before the results , discussion and conclusion . The same basic structure also applies to a thesis, dissertation , or research proposal .

Depending on the length and type of document, you might also include a literature review or theoretical framework before the methodology.

Quantitative research deals with numbers and statistics, while qualitative research deals with words and meanings.

Quantitative methods allow you to systematically measure variables and test hypotheses . Qualitative methods allow you to explore concepts and experiences in more detail.

Reliability and validity are both about how well a method measures something:

• Reliability refers to the  consistency of a measure (whether the results can be reproduced under the same conditions).
• Validity   refers to the  accuracy of a measure (whether the results really do represent what they are supposed to measure).

If you are doing experimental research, you also have to consider the internal and external validity of your experiment.

A sample is a subset of individuals from a larger population . Sampling means selecting the group that you will actually collect data from in your research. For example, if you are researching the opinions of students in your university, you could survey a sample of 100 students.

In statistics, sampling allows you to test a hypothesis about the characteristics of a population.

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How to write the methods section of a research paper

Affiliation.

• 1 Respiratory Care Services, San Francisco General Hospital, NH:GA-2, 1001 Potrero Avenue, San Francisco, CA 94110, USA. [email protected]
• PMID: 15447808

The methods section of a research paper provides the information by which a study's validity is judged. Therefore, it requires a clear and precise description of how an experiment was done, and the rationale for why specific experimental procedures were chosen. The methods section should describe what was done to answer the research question, describe how it was done, justify the experimental design, and explain how the results were analyzed. Scientific writing is direct and orderly. Therefore, the methods section structure should: describe the materials used in the study, explain how the materials were prepared for the study, describe the research protocol, explain how measurements were made and what calculations were performed, and state which statistical tests were done to analyze the data. Once all elements of the methods section are written, subsequent drafts should focus on how to present those elements as clearly and logically as possibly. The description of preparations, measurements, and the protocol should be organized chronologically. For clarity, when a large amount of detail must be presented, information should be presented in sub-sections according to topic. Material in each section should be organized by topic from most to least important.

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How to write the methods section of a research paper

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What is Research Methodology? Definition, Types, and Examples

Research methodology 1,2 is a structured and scientific approach used to collect, analyze, and interpret quantitative or qualitative data to answer research questions or test hypotheses. A research methodology is like a plan for carrying out research and helps keep researchers on track by limiting the scope of the research. Several aspects must be considered before selecting an appropriate research methodology, such as research limitations and ethical concerns that may affect your research.

The research methodology section in a scientific paper describes the different methodological choices made, such as the data collection and analysis methods, and why these choices were selected. The reasons should explain why the methods chosen are the most appropriate to answer the research question. A good research methodology also helps ensure the reliability and validity of the research findings. There are three types of research methodology—quantitative, qualitative, and mixed-method, which can be chosen based on the research objectives.

What is research methodology ?

A research methodology describes the techniques and procedures used to identify and analyze information regarding a specific research topic. It is a process by which researchers design their study so that they can achieve their objectives using the selected research instruments. It includes all the important aspects of research, including research design, data collection methods, data analysis methods, and the overall framework within which the research is conducted. While these points can help you understand what is research methodology, you also need to know why it is important to pick the right methodology.

Having a good research methodology in place has the following advantages: 3

• Helps other researchers who may want to replicate your research; the explanations will be of benefit to them.
• You can easily answer any questions about your research if they arise at a later stage.
• A research methodology provides a framework and guidelines for researchers to clearly define research questions, hypotheses, and objectives.
• It helps researchers identify the most appropriate research design, sampling technique, and data collection and analysis methods.
• A sound research methodology helps researchers ensure that their findings are valid and reliable and free from biases and errors.
• It also helps ensure that ethical guidelines are followed while conducting research.
• A good research methodology helps researchers in planning their research efficiently, by ensuring optimum usage of their time and resources.

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Types of research methodology.

There are three types of research methodology based on the type of research and the data required. 1

• Quantitative research methodology focuses on measuring and testing numerical data. This approach is good for reaching a large number of people in a short amount of time. This type of research helps in testing the causal relationships between variables, making predictions, and generalizing results to wider populations.
• Qualitative research methodology examines the opinions, behaviors, and experiences of people. It collects and analyzes words and textual data. This research methodology requires fewer participants but is still more time consuming because the time spent per participant is quite large. This method is used in exploratory research where the research problem being investigated is not clearly defined.
• Mixed-method research methodology uses the characteristics of both quantitative and qualitative research methodologies in the same study. This method allows researchers to validate their findings, verify if the results observed using both methods are complementary, and explain any unexpected results obtained from one method by using the other method.

What are the types of sampling designs in research methodology?

Sampling 4 is an important part of a research methodology and involves selecting a representative sample of the population to conduct the study, making statistical inferences about them, and estimating the characteristics of the whole population based on these inferences. There are two types of sampling designs in research methodology—probability and nonprobability.

• Probability sampling

In this type of sampling design, a sample is chosen from a larger population using some form of random selection, that is, every member of the population has an equal chance of being selected. The different types of probability sampling are:

• Systematic —sample members are chosen at regular intervals. It requires selecting a starting point for the sample and sample size determination that can be repeated at regular intervals. This type of sampling method has a predefined range; hence, it is the least time consuming.
• Stratified —researchers divide the population into smaller groups that don’t overlap but represent the entire population. While sampling, these groups can be organized, and then a sample can be drawn from each group separately.
• Cluster —the population is divided into clusters based on demographic parameters like age, sex, location, etc.
• Convenience —selects participants who are most easily accessible to researchers due to geographical proximity, availability at a particular time, etc.
• Purposive —participants are selected at the researcher’s discretion. Researchers consider the purpose of the study and the understanding of the target audience.
• Snowball —already selected participants use their social networks to refer the researcher to other potential participants.
• Quota —while designing the study, the researchers decide how many people with which characteristics to include as participants. The characteristics help in choosing people most likely to provide insights into the subject.

What are data collection methods?

During research, data are collected using various methods depending on the research methodology being followed and the research methods being undertaken. Both qualitative and quantitative research have different data collection methods, as listed below.

Qualitative research 5

• One-on-one interviews: Helps the interviewers understand a respondent’s subjective opinion and experience pertaining to a specific topic or event
• Document study/literature review/record keeping: Researchers’ review of already existing written materials such as archives, annual reports, research articles, guidelines, policy documents, etc.
• Focus groups: Constructive discussions that usually include a small sample of about 6-10 people and a moderator, to understand the participants’ opinion on a given topic.
• Qualitative observation : Researchers collect data using their five senses (sight, smell, touch, taste, and hearing).

Quantitative research 6

• Sampling: The most common type is probability sampling.
• Interviews: Commonly telephonic or done in-person.
• Observations: Structured observations are most commonly used in quantitative research. In this method, researchers make observations about specific behaviors of individuals in a structured setting.
• Document review: Reviewing existing research or documents to collect evidence for supporting the research.
• Surveys and questionnaires. Surveys can be administered both online and offline depending on the requirement and sample size.

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What are data analysis methods.

The data collected using the various methods for qualitative and quantitative research need to be analyzed to generate meaningful conclusions. These data analysis methods 7 also differ between quantitative and qualitative research.

Quantitative research involves a deductive method for data analysis where hypotheses are developed at the beginning of the research and precise measurement is required. The methods include statistical analysis applications to analyze numerical data and are grouped into two categories—descriptive and inferential.

Descriptive analysis is used to describe the basic features of different types of data to present it in a way that ensures the patterns become meaningful. The different types of descriptive analysis methods are:

• Measures of frequency (count, percent, frequency)
• Measures of central tendency (mean, median, mode)
• Measures of dispersion or variation (range, variance, standard deviation)
• Measure of position (percentile ranks, quartile ranks)

Inferential analysis is used to make predictions about a larger population based on the analysis of the data collected from a smaller population. This analysis is used to study the relationships between different variables. Some commonly used inferential data analysis methods are:

• Correlation: To understand the relationship between two or more variables.
• Cross-tabulation: Analyze the relationship between multiple variables.
• Regression analysis: Study the impact of independent variables on the dependent variable.
• Frequency tables: To understand the frequency of data.
• Analysis of variance: To test the degree to which two or more variables differ in an experiment.

Qualitative research involves an inductive method for data analysis where hypotheses are developed after data collection. The methods include:

• Content analysis: For analyzing documented information from text and images by determining the presence of certain words or concepts in texts.
• Narrative analysis: For analyzing content obtained from sources such as interviews, field observations, and surveys. The stories and opinions shared by people are used to answer research questions.
• Discourse analysis: For analyzing interactions with people considering the social context, that is, the lifestyle and environment, under which the interaction occurs.
• Grounded theory: Involves hypothesis creation by data collection and analysis to explain why a phenomenon occurred.
• Thematic analysis: To identify important themes or patterns in data and use these to address an issue.

How to choose a research methodology?

Here are some important factors to consider when choosing a research methodology: 8

• Research objectives, aims, and questions —these would help structure the research design.
• Review existing literature to identify any gaps in knowledge.
• Check the statistical requirements —if data-driven or statistical results are needed then quantitative research is the best. If the research questions can be answered based on people’s opinions and perceptions, then qualitative research is most suitable.
• Sample size —sample size can often determine the feasibility of a research methodology. For a large sample, less effort- and time-intensive methods are appropriate.
• Constraints —constraints of time, geography, and resources can help define the appropriate methodology.

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How to write a research methodology .

A research methodology should include the following components: 3,9

• Research design —should be selected based on the research question and the data required. Common research designs include experimental, quasi-experimental, correlational, descriptive, and exploratory.
• Research method —this can be quantitative, qualitative, or mixed-method.
• Reason for selecting a specific methodology —explain why this methodology is the most suitable to answer your research problem.
• Research instruments —explain the research instruments you plan to use, mainly referring to the data collection methods such as interviews, surveys, etc. Here as well, a reason should be mentioned for selecting the particular instrument.
• Sampling —this involves selecting a representative subset of the population being studied.
• Data collection —involves gathering data using several data collection methods, such as surveys, interviews, etc.
• Data analysis —describe the data analysis methods you will use once you’ve collected the data.
• Research limitations —mention any limitations you foresee while conducting your research.
• Validity and reliability —validity helps identify the accuracy and truthfulness of the findings; reliability refers to the consistency and stability of the results over time and across different conditions.
• Ethical considerations —research should be conducted ethically. The considerations include obtaining consent from participants, maintaining confidentiality, and addressing conflicts of interest.

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• Check and verify text : Make sure the generated text showcases your methods correctly, has all the right citations, and is original and authentic. .   

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Frequently Asked Questions

Q1. What are the key components of research methodology?

A1. A good research methodology has the following key components:

• Research design
• Data collection procedures
• Data analysis methods
• Ethical considerations

Q2. Why is ethical consideration important in research methodology?

A2. Ethical consideration is important in research methodology to ensure the readers of the reliability and validity of the study. Researchers must clearly mention the ethical norms and standards followed during the conduct of the research and also mention if the research has been cleared by any institutional board. The following 10 points are the important principles related to ethical considerations: 10

• Participants should not be subjected to harm.
• Respect for the dignity of participants should be prioritized.
• Full consent should be obtained from participants before the study.
• Participants’ privacy should be ensured.
• Confidentiality of the research data should be ensured.
• Anonymity of individuals and organizations participating in the research should be maintained.
• The aims and objectives of the research should not be exaggerated.
• Affiliations, sources of funding, and any possible conflicts of interest should be declared.
• Communication in relation to the research should be honest and transparent.
• Misleading information and biased representation of primary data findings should be avoided.

Q3. What is the difference between methodology and method?

A3. Research methodology is different from a research method, although both terms are often confused. Research methods are the tools used to gather data, while the research methodology provides a framework for how research is planned, conducted, and analyzed. The latter guides researchers in making decisions about the most appropriate methods for their research. Research methods refer to the specific techniques, procedures, and tools used by researchers to collect, analyze, and interpret data, for instance surveys, questionnaires, interviews, etc.

Research methodology is, thus, an integral part of a research study. It helps ensure that you stay on track to meet your research objectives and answer your research questions using the most appropriate data collection and analysis tools based on your research design.

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• Research methodologies. Pfeiffer Library website. Accessed August 15, 2023. https://library.tiffin.edu/researchmethodologies/whatareresearchmethodologies
• Types of research methodology. Eduvoice website. Accessed August 16, 2023. https://eduvoice.in/types-research-methodology/
• The basics of research methodology: A key to quality research. Voxco. Accessed August 16, 2023. https://www.voxco.com/blog/what-is-research-methodology/
• Sampling methods: Types with examples. QuestionPro website. Accessed August 16, 2023. https://www.questionpro.com/blog/types-of-sampling-for-social-research/
• What is qualitative research? Methods, types, approaches, examples. Researcher.Life blog. Accessed August 15, 2023. https://researcher.life/blog/article/what-is-qualitative-research-methods-types-examples/
• What is quantitative research? Definition, methods, types, and examples. Researcher.Life blog. Accessed August 15, 2023. https://researcher.life/blog/article/what-is-quantitative-research-types-and-examples/
• Data analysis in research: Types & methods. QuestionPro website. Accessed August 16, 2023. https://www.questionpro.com/blog/data-analysis-in-research/#Data_analysis_in_qualitative_research
• Factors to consider while choosing the right research methodology. PhD Monster website. Accessed August 17, 2023. https://www.phdmonster.com/factors-to-consider-while-choosing-the-right-research-methodology/
• What is research methodology? Research and writing guides. Accessed August 14, 2023. https://paperpile.com/g/what-is-research-methodology/
• Ethical considerations. Business research methodology website. Accessed August 17, 2023. https://research-methodology.net/research-methodology/ethical-considerations/

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How to Master the Methods Section of Your Research Paper

The Methods section is a fundamental component of any research paper, playing a crucial role in establishing the validity and reliability of your study. It serves as a detailed roadmap of the research process that you undertook, providing sufficient information for the replication of the study. An effectively written Methods section can enhance the impact and credibility of your research, giving your readers a clear understanding of how your findings were achieved.

The methods section essentially answers the questions:

• What did you do?
• How did you do it?
• What tools and procedures did you use?
• And how did you analyze the data you collected?

Providing thorough responses to these questions, it typically includes detailed descriptions of your research design , participants or subjects of study, equipment or materials used, the procedures you followed, and the statistical methods applied for data analysis.

In the following sections, we'll delve into each of these elements, providing you with a comprehensive guide on how to craft a compelling, informative, and rigorous Methods section for your research paper.

Understanding the purpose of the methods section

Adding validity and credibility to the research.

The Methods section plays a pivotal role in adding validity and credibility to your research. By detailing the procedures you used, it allows readers to evaluate the soundness of your methodology. A well-written Methods section makes your research transparent, enabling others to understand exactly what you did and how you did it. This transparency not only adds to the credibility of your work but also allows for an accurate evaluation of the results. The Methods section is where you demonstrate that your research has been conducted in a rigorous, systematic, and ethical manner.

Enabling replication of the study

Perhaps one of the most crucial roles of the Methods section is to allow other researchers to replicate your study. Replication is a key aspect of scientific research - it's how we ensure that findings are not mere flukes or products of bias. By providing a clear and detailed description of your methodology, others can repeat your study under the same conditions to see if they achieve similar results. This not only reinforces the robustness of your own research but also contributes to the collective knowledge in your field. Consequently, the Methods section must be thorough and precise, ensuring that every step of your process can be duplicated accurately.

Deciding what to include in your methods section

Elements to include in the methods section.

The Methods section should provide a clear and comprehensive account of how you conducted your study. The content can vary depending on your field of study and the nature of your research, but typically, you should include the following elements:

• Participants: Describe who took part in your study. This might include details about their demographics (age, gender, etc.), how they were selected, and how they were assigned to groups in the case of experimental research.
• Materials and Equipment: Detail the materials or equipment you used during your study. This can range from lab equipment in a scientific study, surveys or tests in a social science study, to software and data sources in a computational study.
• Procedure: Give a step-by-step account of what you did during your study. This should be detailed enough to enable another researcher to replicate your study exactly.
• Data Analysis Methods: Explain how you analyzed your data. This might include statistical analysis methods, coding procedures for qualitative data , or computational algorithms.

Balancing detail and brevity

While it's important to provide enough detail in your Methods section to allow for replication, it's also crucial to avoid including unnecessary or irrelevant information. Striking a balance between detail and brevity is key. You should aim to provide a complete account of your methodology without getting lost in minute details that don't significantly impact the understanding or replication of your research.

Ask yourself, "Would including this detail enhance the understanding of my study or the ability to replicate it?" If the answer is no, you can likely leave that detail out. Remember, the goal is to provide a thorough, yet concise and readable account of your research methods .

Writing the participants section

Describing the participants.

In describing your participants, or subjects, it's essential to provide clear demographic information. This includes, but is not limited to, aspects like age, sex, ethnicity, occupation, education level, or any other characteristic relevant to your study. These details help provide context and allow readers to understand who your research is applicable to. For instance, a study involving only teenagers will have different implications than one involving adults.

Discussing selection and assignment to groups

The process of participant selection and assignment to groups is fundamental to many research studies, especially those involving experimental design. You should describe how you recruited your participants (e.g., through random sampling, convenience sampling, etc. ), and how they were assigned to different conditions or treatment groups if applicable. This might include a description of any randomization or matching procedures used. Clarity in this section bolsters the transparency and replicability of your study.

Ethical considerations in participant selection and treatment

It's also vital to discuss any ethical considerations related to your participants. This includes obtaining informed consent, ensuring participant privacy and confidentiality, and minimizing potential harm. If your study was reviewed and approved by an Institutional Review Board (IRB) or Ethics Committee, mention this in your Methods section. It's also appropriate to detail any steps you took to minimize potential bias or discrimination in participant selection. This not only demonstrates your commitment to ethical research practices but also contributes to the credibility of your study.

Writing the materials and equipment section

Detailing materials and equipment used in the study.

When detailing the materials and equipment used in your study, it's important to be as specific and precise as possible. This might include the make and model of equipment, the type and source of materials, and even the versions of software packages used. These specifics enable replication and also allow other researchers to understand the tools that contributed to your findings. This part of the Methods section might vary significantly depending on your field of research. For example, a biology study might detail the type of microscopes used, whereas a psychology study could discuss specific psychometric tests.

Providing information about unique or unusually used tools

If you used special or unique tools, or if you used standard tools in an unusual way, this should be clearly specified in the Materials and Equipment section. Describe these tools or methods in detail, and explain why they were necessary for your study. If a tool is rare or specialized, consider providing a citation or source where readers can learn more about it. If a standard tool was used in a novel or unconventional way, explain what you did and why. This not only adds interest to your paper, but also contributes to the complete understanding and potential replication of your research. Remember, transparency is key in this section, as it helps enhance the credibility of your study and its findings.

Writing the procedure section

Importance of including each step taken during the study.

The Procedure section serves as a step-by-step guide to your study, detailing each phase from start to finish. The significance of this section cannot be overstated, as it offers a comprehensive look at the "how" of your research. Each step you took, every decision you made, and all procedures you followed should be recorded in this section. This level of detail not only supports your study's validity but also enables others to replicate your study accurately, fostering scientific transparency.

Tips for writing clearly and concisely, yet with enough detail for replication

When detailing your procedures, clarity and conciseness are key. Strive to describe your methods in a way that's straightforward and easy to follow. Avoid jargon where possible, and when it's unavoidable, make sure to provide clear definitions.

Remember, while conciseness is important, so too is the inclusion of sufficient detail to allow for replication. One approach to ensuring the right level of detail is to write as though you are explaining your study to another researcher in your field. They should be able to read your Procedure section and know exactly how to carry out your study.

Considerations for describing experimental and control conditions

If your study involved experimental and control conditions, these should be described with particular care. Detail the experimental procedures, clearly stating what distinguishes the experimental group from the control group. This includes any stimuli or treatments that were administered, as well as how, when, and where they were delivered. In addition, it's essential to articulate any measures that were taken to minimize the effects of confounding variables. This precise detailing underscores the reliability of your research and enhances the likelihood of accurate replication.

Writing the data analysis section

Describing the statistical or other methods used to analyze the data.

In the Data Analysis section, your aim should be to clearly describe the statistical or other methods you used to analyze your data. Include specifics about the tests used, the software employed, and the reasoning behind choosing these particular methods. For statistical tests, mention the test name, the variables it was used for, and any specific variations of the test that were applied. If you conducted qualitative analysis, explain the coding process, thematic analysis, or other methods used. Providing this level of detail allows other researchers to assess the appropriateness and rigor of your data analysis.

Importance of including all steps of the analysis, not just the final results

Remember that the Data Analysis section is not just about presenting the final results, but also about revealing the process you used to get there. Including each step of your analysis provides a complete picture of your research journey and ensures that your methodology can be accurately replicated and evaluated by others. Whether it involves data cleaning, variable coding, preliminary analyses, or specific sequences of statistical tests, all these details contribute to the overall transparency of your research.

Explaining any adjustments for potential biases or confounds

Lastly, be sure to explain any adjustments or corrections you made to account for potential biases or confounding variables in your data. This may include controlling for certain variables, dealing with missing data, or using specific statistical techniques to address these issues. Clearly articulating these adjustments enhances the reliability and validity of your findings, and also provides a more comprehensive understanding of your research approach. This is also where you can discuss the limitations of your study and how you accounted for them in your analysis.

Common mistakes and how to avoid them

Typical errors in the methods section.

One common mistake in writing the Methods section is providing too little detail. A lack of specificity can make it difficult for others to replicate your study or fully understand your process. On the other hand, including too much detail, particularly irrelevant information, can dilute the focus of your Methods section and confuse your readers.

Another common error is forgetting to include important steps, such as the processes for data cleaning, preprocessing, or certain aspects of participant recruitment and management. Also, failing to adequately discuss ethical considerations, when relevant, can negatively impact the perceived credibility of your research.

Tips and strategies for avoiding these mistakes

In order to effectively avoid common errors when writing the Methods section of your research paper, consider implementing the following strategies:

• Create a Detailed Outline: Begin by outlining your Methods section in detail. This will help you ensure that all important elements of your research process are captured and not forgotten in the final write-up.
• Strive for Balance: Aim for a balance between brevity and comprehensiveness. Remember, your primary objective is to provide enough information so that someone else can replicate your study.
• Review for Relevance: After drafting your section, review it to ensure that all included information is relevant and necessary. If certain details do not directly contribute to understanding your method or facilitating replication, consider removing them.
• Include Ethical Considerations: Ethics are a crucial aspect of any research. Therefore, remember to discuss any ethical considerations and approvals related to your study.
• Get Feedback: Have colleagues or mentors review your Methods section. They can offer valuable feedback and catch any errors or omissions you may have overlooked. It's always beneficial to have another pair of eyes on your work.

Sample methods sections and analysis

Consider the following examples of well-written methods sections from different fields of study. These fictional examples illustrate the important elements discussed above:

Psychology study example

In this study, 100 undergraduate students (50 males and 50 females, aged 18-25) were randomly selected from XYZ University. The selection criteria included full-time enrollment status and willingness to participate in the study. All participants provided informed consent prior to participation, and the study received ethical approval from the University's Institutional Review Board.

The instruments used included a demographic questionnaire, the Big Five Personality Test, and an academic performance survey. The demographic questionnaire gathered data on participants' age, gender, major, and year in college. The Big Five Personality Test, a validated and reliable instrument, was used to assess participants' personality traits. Academic performance was gauged through self-reported grade point averages (GPAs).

The experiment was conducted in a quiet and well-lit room. Participants first completed the demographic questionnaire, followed by the personality test. Afterward, they reported their GPAs on the academic performance survey. All responses were recorded anonymously to protect participant confidentiality.

The data were analyzed using SPSS software, version 24. Pearson's correlation coefficient was used to assess the relationship between personality traits and academic performance.

Psychology study example analysis

The above example illustrates several good practices in writing a methods section.

• Clear description of participants: The researcher clearly stated the number, gender distribution, and age range of the participants, and also mentioned the selection criteria.
• Detailed information about materials: The researcher named the tests and surveys used and briefly described what they measure.
• Transparent procedure: The researcher provided a step-by-step guide to how the experiment was conducted, ensuring that it could be replicated by others.
• Explanation of data analysis: The researcher stated which software was used and what statistical tests were performed.

Environmental science study example

For this study, soil samples were collected from 10 different locations within the ABC National Park. The locations were chosen to represent a variety of habitats within the park, including grassland, wetland, and forest areas. The study was conducted in the spring season to ensure consistency in environmental conditions.

At each location, five soil samples were taken using a standard soil corer. The samples were taken from the top 10 cm of the soil, as this is where the majority of biological activity typically occurs. Each sample was immediately sealed in a sterile container to prevent contamination.

Back in the lab, the soil samples were analyzed for nutrient content and microbial diversity. Nutrient content, including levels of nitrogen, phosphorus, and potassium, was measured using a soil nutrient testing kit from XYZ Company. Microbial diversity was assessed through DNA extraction and sequencing, using the DEF DNA extraction kit and the GHI sequencing platform.

The collected data were then analyzed using the JKL statistical software package. A one-way ANOVA was used to compare nutrient levels between the different habitats, while microbial diversity was evaluated using a diversity index.

In all cases, appropriate precautions were taken to minimize potential contamination and to ensure the accuracy of our measurements. This study was approved by the ABC National Park's Research Review Board.

Environmental science study example analysis

This example effectively demonstrates the correct structure and content for a methods section in environmental science.

• Clear explanation of sample collection: The researcher has detailed where, when, and how the soil samples were collected.
• Transparent process of sample analysis: The specific procedures and equipment used for analyzing the samples are clearly outlined, providing potential for replication.
• Methodical data analysis: The use of specific software and statistical tests is mentioned, providing clarity on how results were derived.

Linguistics study example

For this study, the use of passive voice in academic writing across disciplines was investigated. A corpus of 500 peer-reviewed journal articles was created, comprising 100 articles from each of the following disciplines: Social Sciences, Humanities, Natural Sciences, Applied Sciences, and Formal Sciences. Articles were selected randomly from journals indexed in the ABC Database from the year 2022.

The data collection tool was a script written in Python, utilizing the Natural Language Toolkit (NLTK) for text processing and analysis. The script identified and counted instances of passive voice in each article.

The articles were processed one by one, first being converted into plain text files to allow for easy processing. The Python script then ran on each text file, analyzing and storing the data on passive voice usage. This process was automated to minimize errors and ensure consistency.

For data analysis, the counts of passive voice instances were normalized by the total word count of each article to account for variations in article length. The differences in passive voice usage across disciplines were then statistically analyzed using a Chi-square test in the R software environment.

All procedures in this study were designed with consideration to copyright and fair use policies. The Python script used for this study is openly available for other researchers to use and modify.

Linguistics study example analysis

This example demonstrates effective writing of a methods section in a Linguistics study.

• Detailed description of the corpus: The researcher clearly defined the source and composition of the corpus, including the number of texts and their disciplinary distribution.
• Explanation of data collection tool and process: The researcher explained the software and process used for text analysis, providing enough detail for replication.
• Transparent data analysis: The researcher mentioned how they accounted for variations in article length and which statistical test was used for analysis.

Remember, although methods sections will differ across disciplines, they all should provide a clear, concise, and replicable roadmap of the research process.

The methods section of a research paper is a critical component that adds credibility to your research and allows others to replicate and verify your study. It involves providing detailed descriptions of the participants, materials and equipment used, the procedures followed, and the methods of data analysis.

While the exact content may vary depending on your research design and field of study, a well-crafted methods section will always focus on clarity, comprehensiveness, and transparency. The examples provided in this post illustrate good practices in diverse fields and can serve as a guide for you to construct your own.

Avoid common errors by creating a detailed outline, striving for balance in information, reviewing for relevance, including ethical considerations, and getting feedback from colleagues or mentors.

With these steps, you'll be well on your way to writing a high-quality methods section that bolsters your research paper's integrity and contributes meaningfully to your field.

Header image by Cytonn Photography .

Journal Article Reporting Standards (JARS)

APA Style Journal Article Reporting Standards offer guidance on what information should be included in all manuscript sections for quantitative, qualitative, and mixed methods research and include how to best discuss race, ethnicity, and culture.

Introducing Journal Article Reporting Standards for Race, Ethnicity, and Culture (JARS–REC)

JARS–REC were created to develop best practices related to the manner in which race, ethnicity, and culture are discussed within scientific manuscripts in psychological science.

Quantitative research

Use JARS–Quant when you collect your study data in numerical form or report them through statistical analyses.

Qualitative research

Use JARS–Qual when you collect your study data in the form of natural language and expression.

Mixed methods research

Use JARS–Mixed when your study combines both quantitative and qualitative methods.

Race, ethnicity, culture

Use JARS–REC for all studies for guidance on how to discuss race, ethnicity, and culture.

What are APA Style JARS?

APA Style Journal Article Reporting Standards (APA Style Jars ) are a set of standards designed for journal authors, reviewers, and editors to enhance scientific rigor in peer-reviewed journal articles. Educators and students can use APA Style JARS as teaching and learning tools for conducting high quality research and determining what information to report in scholarly papers.

The standards include information on what should be included in all manuscript sections for:

• Quantitative research ( Jars –Quant)
• Qualitative research ( Jars –Qual)
• Mixed methods research ( Jars –Mixed)

Additionally, the APA Style Journal Article Reporting Standards for Race, Ethnicity, and Culture ( Jars – Rec ) provide guidance on how to discuss race, ethnicity, and culture in scientific manuscripts. Jars – Rec should be applied to all research, whether it is quantitative, qualitative, or mixed methods.

• Race, Ethnicity, and Culture ( Jars – Rec )

Using these standards will make your research clearer and more accurate as well as more transparent for readers. For quantitative research, using the standards will increase the reproducibility of science. For qualitative research, using the standards will increase the methodological integrity of research.

Jars –Quant should be used in research where findings are reported numerically (quantitative research). Jars –Qual should be used in research where findings are reported using nonnumerical descriptive data (qualitative research). Jars –Mixed should be applied to research that includes both quantitative and qualitative research (mixed methods research). JARS–REC should be applied to all research, whether it is quantitative, qualitative, or mixed methods.

For more information on APA Style JARS:

• Read Editorial: Journal Article Reporting Standards
• View an infographic (PDF, 453KB) to learn about the benefits of JARS and how they are relevant to you
• Listen to a podcast with Drs. Harris Cooper and David Frost discussing JARS and implications for research in psychology

Many aspects of research methodology warrant a close look, and journal editors can promote better methods if we encourage authors to take responsibility to report their work in clear, understandable ways. —Nelson Cowan, Editor, Journal of Experimental Psychology: General

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This video describes and discusses the updated APA Style Journal Article Reporting Standards.

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Reporting Qualitative Research in Psychology

Journal article reporting standards for qualitative research

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Journal article reporting standards for quantitative research

Publication Manual, 7th Edition

The official source for writing papers and creating references in seventh edition APA Style

Jars resources

• History of APA’s journal article reporting standards
• APA Style JARS supplemental glossary
• Supplemental resource on the ethic of transparency in JARS
• Frequently asked questions
• JARS-Quant Decision Flowchart (PDF, 98KB)
• JARS-Quant Participant Flowchart (PDF, 98KB)

Jars articles

• Jars –Quant article
• Jars –Qual / Mixed article
• Jars – rec executive summary

Questions / feedback

Email an APA Style Expert if you have questions, feedback, or suggestions for modules to be included in future JARS updates.

APA resources

• APA Databases and Electronic Resources
• APA Journals
• Journal Author Resource Center
• Education and Career
• Psychological Science
• Open Science at APA
• How to Review a Manuscript

From the APA Style blog

Introducing APA Style Journal Article Reporting Standards for Race, Ethnicity, and Culture

These standards are for all authors, reviewers, and editors seeking to improve manuscript quality by encouraging more racially and ethnically conscious and culturally responsive journal reporting standards for empirical studies in psychological science.

APA Style JARS for high school students

In this post, we provide an overview of APA Style JARS and resources that can be shared with high school students who want to learn more about effective communication in scholarly research.

Happy 2022, APA Stylers!

This blog post is dedicated to our awesome APA Style users. You can use the many resources on our website to help you master APA Style and improve your scholarly writing.

APA Style JARS on the EQUATOR Network

The APA Style Journal Article Reporting Standards (APA Style JARS) have been added to the EQUATOR Network. The network aims to promote accuracy and quality in reporting of research.

APA Style JARS: Resources for instructors and students

APA Style Journal Article Reporting Standards (APA Style JARS) are a set of guidelines for papers reporting quantitative, qualitative, and mixed methods research that can be used by instructors, students, and all others reading and writing research papers.

• USC Libraries
• Research Guides

Organizing Your Social Sciences Research Paper

• Reading Research Effectively
• Purpose of Guide
• Design Flaws to Avoid
• Independent and Dependent Variables
• Glossary of Research Terms
• Narrowing a Topic Idea
• Broadening a Topic Idea
• Extending the Timeliness of a Topic Idea
• Academic Writing Style
• Applying Critical Thinking
• Choosing a Title
• Making an Outline
• Paragraph Development
• Research Process Video Series
• Executive Summary
• The C.A.R.S. Model
• Background Information
• The Research Problem/Question
• Theoretical Framework
• Citation Tracking
• Content Alert Services
• Evaluating Sources
• Primary Sources
• Secondary Sources
• Tiertiary Sources
• Scholarly vs. Popular Publications
• Qualitative Methods
• Quantitative Methods
• Insiderness
• Using Non-Textual Elements
• Limitations of the Study
• Common Grammar Mistakes
• Writing Concisely
• Avoiding Plagiarism
• Footnotes or Endnotes?
• Further Readings
• Generative AI and Writing
• USC Libraries Tutorials and Other Guides
• Bibliography

Reading a Scholarly Article or Research Paper

Identifying a research problem to investigate requires a preliminary search for and critical review of the literature in order to gain an understanding about how scholars have examined a topic. Scholars rarely structure research studies in a way that can be followed like a story; they are complex and detail-intensive and often written in a descriptive and conclusive narrative form. However, in the social and behavioral sciences, journal articles and stand-alone research reports are generally organized in a consistent format that makes it easier to compare and contrast studies and interpret their findings.

General Reading Strategies

W hen you first read an article or research paper, focus on asking specific questions about each section. This strategy can help with overall comprehension and with understanding how the content relates [or does not relate] to the problem you want to investigate. As you review more and more studies, the process of understanding and critically evaluating the research will become easier because the content of what you review will begin to coalescence around common themes and patterns of analysis. Below are recommendations on how to read each section of a research paper effectively. Note that the sections to read are out of order from how you will find them organized in a journal article or research paper.

1.  Abstract

The abstract summarizes the background, methods, results, discussion, and conclusions of a scholarly article or research paper. Use the abstract to filter out sources that may have appeared useful when you began searching for information but, in reality, are not relevant. Questions to consider when reading the abstract are:

• Is this study related to my question or area of research?
• What is this study about and why is it being done ?
• What is the working hypothesis or underlying thesis?
• What is the primary finding of the study?
• Are there words or terminology that I can use to either narrow or broaden the parameters of my search for more information?

2.  Introduction

If, after reading the abstract, you believe the paper may be useful, focus on examining the research problem and identifying the questions the author is trying to address. This information is usually located within the first few paragraphs of the introduction or in the concluding paragraph. Look for information about how and in what way this relates to what you are investigating. In addition to the research problem, the introduction should provide the main argument and theoretical framework of the study and, in the last paragraphs of the introduction, describe what the author(s) intend to accomplish. Questions to consider when reading the introduction include:

• What is this study trying to prove or disprove?
• What is the author(s) trying to test or demonstrate?
• What do we already know about this topic and what gaps does this study try to fill or contribute a new understanding to the research problem?
• Why should I care about what is being investigated?
• Will this study tell me anything new related to the research problem I am investigating?

3.  Literature Review

The literature review describes and critically evaluates what is already known about a topic. Read the literature review to obtain a big picture perspective about how the topic has been studied and to begin the process of seeing where your potential study fits within the domain of prior research. Questions to consider when reading the literature review include:

• W hat other research has been conducted about this topic and what are the main themes that have emerged?
• What does prior research reveal about what is already known about the topic and what remains to be discovered?
• What have been the most important past findings about the research problem?
• How has prior research led the author(s) to conduct this particular study?
• Is there any prior research that is unique or groundbreaking?
• Are there any studies I could use as a model for designing and organizing my own study?

4.  Discussion/Conclusion

The discussion and conclusion are usually the last two sections of text in a scholarly article or research report. They reveal how the author(s) interpreted the findings of their research and presented recommendations or courses of action based on those findings. Often in the conclusion, the author(s) highlight recommendations for further research that can be used to develop your own study. Questions to consider when reading the discussion and conclusion sections include:

• What is the overall meaning of the study and why is this important? [i.e., how have the author(s) addressed the " So What? " question].
• What do you find to be the most important ways that the findings have been interpreted?
• What are the weaknesses in their argument?
• Do you believe conclusions about the significance of the study and its findings are valid?
• What limitations of the study do the author(s) describe and how might this help formulate my own research?
• Does the conclusion contain any recommendations for future research?

5.  Methods/Methodology

The methods section describes the materials, techniques, and procedures for gathering information used to examine the research problem. If what you have read so far closely supports your understanding of the topic, then move on to examining how the author(s) gathered information during the research process. Questions to consider when reading the methods section include:

• Did the study use qualitative [based on interviews, observations, content analysis], quantitative [based on statistical analysis], or a mixed-methods approach to examining the research problem?
• What was the type of information or data used?
• Could this method of analysis be repeated and can I adopt the same approach?
• Is enough information available to repeat the study or should new data be found to expand or improve understanding of the research problem?

6.  Results

After reading the above sections, you should have a clear understanding of the general findings of the study. Therefore, read the results section to identify how key findings were discussed in relation to the research problem. If any non-textual elements [e.g., graphs, charts, tables, etc.] are confusing, focus on the explanations about them in the text. Questions to consider when reading the results section include:

• W hat did the author(s) find and how did they find it?
• Does the author(s) highlight any findings as most significant?
• Are the results presented in a factual and unbiased way?
• Does the analysis of results in the discussion section agree with how the results are presented?
• Is all the data present and did the author(s) adequately address gaps?
• What conclusions do you formulate from this data and does it match with the author's conclusions?

7.  References

The references list the sources used by the author(s) to document what prior research and information was used when conducting the study. After reviewing the article or research paper, use the references to identify additional sources of information on the topic and to examine critically how these sources supported the overall research agenda. Questions to consider when reading the references include:

• Do the sources cited by the author(s) reflect a diversity of disciplinary viewpoints, i.e., are the sources all from a particular field of study or do the sources reflect multiple areas of study?
• Are there any unique or interesting sources that could be incorporated into my study?
• What other authors are respected in this field, i.e., who has multiple works cited or is cited most often by others?
• What other research should I review to clarify any remaining issues or that I need more information about?

NOTE:   A final strategy in reviewing research is to copy and paste the title of the source [journal article, book, research report] into Google Scholar . If it appears, look for a "cited by" reference followed by a hyperlinked number under the record [e.g., Cited by 45]. This number indicates how many times the study has been subsequently cited in other, more recently published works. This strategy, known as citation tracking, can be an effective means of expanding your review of pertinent literature based on a study you have found useful and how scholars have cited it. The same strategies described above can be applied to reading articles you find in the list of cited by references.

Reading Tip

Specific Reading Strategies

Effectively reading scholarly research is an acquired skill that involves attention to detail and an ability to comprehend complex ideas, data, and theoretical concepts in a way that applies logically to the research problem you are investigating. Here are some specific reading strategies to consider.

As You are Reading

• Focus on information that is most relevant to the research problem; skim over the other parts.
• As noted above, read content out of order! This isn't a novel; you want to start with the spoiler to quickly assess the relevance of the study.
• Think critically about what you read and seek to build your own arguments; not everything may be entirely valid, examined effectively, or thoroughly investigated.
• Look up the definitions of unfamiliar words, concepts, or terminology. A good scholarly source is Credo Reference .

Taking notes as you read will save time when you go back to examine your sources. Here are some suggestions:

• Mark or highlight important text as you read [e.g., you can use the highlight text  feature in a PDF document]
• Take notes in the margins [e.g., Adobe Reader offers pop-up sticky notes].
• Highlight important quotations; consider using different highlighting colors to differentiate between quotes and other types of important text.
• Summarize key points about the study at the end of the paper. To save time, these can be in the form of a concise bulleted list of statements [e.g., intro provides useful historical background; lit review has important sources; good conclusions].

Write down thoughts that come to mind that may help clarify your understanding of the research problem. Here are some examples of questions to ask yourself:

• Do I understand all of the terminology and key concepts?
• Do I understand the parts of this study most relevant to my topic?
• What specific problem does the research address and why is it important?
• Are there any issues or perspectives the author(s) did not consider?
• Do I have any reason to question the validity or reliability of this research?
• How do the findings relate to my research interests and to other works which I have read?

Adapted from text originally created by Holly Burt, Behavioral Sciences Librarian, USC Libraries, April 2018.

Another Reading Tip

When is it Important to Read the Entire Article or Research Paper

Laubepin argues, "Very few articles in a field are so important that every word needs to be read carefully." * However, this implies that some studies are worth reading carefully if they directly relate to understanding the research problem. As arduous as it may seem, there are valid reasons for reading a study from beginning to end. Here are some examples:

• Studies Published Very Recently .  The author(s) of a recent, well written study will provide a survey of the most important or impactful prior research in the literature review section. This can establish an understanding of how scholars in the past addressed the research problem. In addition, the most recently published sources will highlight what is known and what gaps in understanding currently exist about a topic, usually in the form of the need for further research in the conclusion .
• Surveys of the Research Problem .  Some papers provide a comprehensive analytical overview of the research problem. Reading this type of study can help you understand underlying issues and discover why scholars have chosen to investigate the topic. This is particularly important if the study was published recently because the author(s) should cite all or most of the important prior research on the topic. Note that, if it is a long-standing problem, there may be studies that specifically review the literature to identify gaps that remain. These studies often include the word "review" in their title [e.g., Hügel, Stephan, and Anna R. Davies. "Public Participation, Engagement, and Climate Change Adaptation: A Review of the Research Literature." Wiley Interdisciplinary Reviews: Climate Change 11 (July-August 2020): https://doi.org/10.1002/ wcc.645].
• Highly Cited .  If you keep coming across the same citation to a study while you are reviewing the literature, this implies it was foundational in establishing an understanding of the research problem or the study had a significant impact within the literature [either positive or negative]. Carefully reading a highly cited source can help you understand how the topic emerged and how it motivated scholars to further investigate the problem. It also could be a study you need to cite as foundational in your own paper to demonstrate to the reader that you understand the roots of the problem.
• Historical Overview .  Knowing the historical background of a research problem may not be the focus of your analysis. Nevertheless, carefully reading a study that provides a thorough description and analysis of the history behind an event, issue, or phenomenon can add important context to understanding the topic and what aspect of the problem you may want to examine further.
• Innovative Methodological Design .  Some studies are significant and should be read in their entirety because the author(s) designed a unique or innovative approach to researching the problem. This may justify reading the entire study because it can motivate you to think creatively about also pursuing an alternative or non-traditional approach to examining your topic of interest. These types of studies are generally easy to identify because they are often cited in others works because of their unique approach to examining the research problem.
• Cross-disciplinary Approach .  R eviewing studies produced outside of your discipline is an essential component of investigating research problems in the social and behavioral sciences. Consider reading a study that was conducted by author(s) based in a different discipline [e.g., an anthropologist studying political cultures; a study of hiring practices in companies published in a sociology journal]. This approach can generate a new understanding or a unique perspective about the topic . If you are not sure how to search for studies published in a discipline outside of your major or of the course you are taking, contact a librarian for assistance.

* Laubepin, Frederique. How to Read (and Understand) a Social Science Journal Article . Inter-University Consortium for Political and Social Research (ISPSR), 2013

Shon, Phillip Chong Ho. How to Read Journal Articles in the Social Sciences: A Very Practical Guide for Students . 2nd edition. Thousand Oaks, CA: Sage, 2015; Lockhart, Tara, and Mary Soliday. "The Critical Place of Reading in Writing Transfer (and Beyond): A Report of Student Experiences." Pedagogy 16 (2016): 23-37; Maguire, Moira, Ann Everitt Reynolds, and Brid Delahunt. "Reading to Be: The Role of Academic Reading in Emergent Academic and Professional Student Identities." Journal of University Teaching and Learning Practice 17 (2020): 5-12.

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• Next: Narrowing a Topic Idea >>
• Last Updated: Aug 30, 2024 10:02 AM
• URL: https://libguides.usc.edu/writingguide

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Speaker 1: One of the most frequently asked questions that I am asked all the time across my social media platforms, across my YouTube, across my comments, is about the research process. So how do you start? Where do you even begin? You need to submit a dissertation, you need to submit a research proposal, you need to think of a hypothesis, you need to think of a problem statement, you need to find a gap in literature where do you even begin with the whole research process now it isn't as hard as it seems it's just one of those things that you're never told or you're never taught how to do it's one of those things that you just kind of figure out so hopefully in today's video i will be talking to you about the overview and kind of a quick beginner's guide to the research process, giving you the steps of how you get from zero to having something, having a question, having a hypothesis, having somewhere to start. I'm going to be making this into a bit of a series so in today's video I'm going to be giving you an overview as to the different chapters, the different sections of the process, how you get from nothing to something and then in the following videos I will be going through each of those sections in a bit more detail and hopefully if you are someone who is within one of those kind of parts you can just jump to that video and have a have a quick quick watch if you are someone who is just starting off then this is the best place for you to begin have a little think about how you're going to navigate your research process and how you're going to get from the start to the end it is not difficult but it does require a few steps, a few technicalities, which I'll talk you through today. I'll leave the timestamps down below so you feel free to go and jump to the different sections that you are interested in watching. And if you do enjoy this kind of video and you want to see the rest of the videos from me, then don't forget to subscribe to see more on my channel. So step number one is to choose a topic. Now this is the beginning of something beautiful. This is where you choose what you're actually going to be studying and when you're actually going to be reading about now it's really important that you have chosen a topic that you are interested in that there is an interest in within the research space that has something missing so you don't want to choose a topic that we know everything about you want to choose a topic that we don't know everything about and there are things that we want to try to find more about you want to choose a topic that is within your university guidelines so as much as i would love to do a research on the solar system about space well if my course is to do with cell biology well then i can't so you have to think about your limits think about what you are allowed to do within your university guidelines as well but you do need to think about taking that broad topic and making it into something a bit more narrow so it's not good enough to just say i want to do research on alzheimer's okay alzheimer's fine you've got a topic, but you now need to narrow it down. So what about it are you looking at? Are you looking at the risk factors? Are you looking at what happens once you have Alzheimer's? Are you looking at a specific group of people? Are you looking at a specific cell type? What is it that you are looking at? You need to narrow that down. In order to narrow it down, you need to do a bit of a literature search. So whilst choosing a topic, whilst in this first stage, you need to look at literature. So to find literature you want to go to different websites where you have literature and this could be for example Google Scholar is a good place to start, PubMed is a good place to start. These are places where you can find literature about that topic and kind of read around the subject and identify whether firstly is it something that you are actually interested in and secondly is there enough information for you to gather to be able to write your literature review in the future so that first step your first step of your research process is thinking about the topic because without a topic you there's nothing you can't do anything else so the first step has to always be to find a topic and think about it now once you've thought about a topic and you've narrowed it down to the thing that you're interested in at this stage you will then go to your supervisor to your lecturer to your professor to your mentor to your tutor and you will ask them do you think this is a good topic and that is where you will get some feedback and most likely you'll have to go back have another think or try to refine a bit more or try to think about it in a different way but that is always the first step. In the video that I make about finding a good topic we'll talk about it in a lot more depth but to start off with to introduce this is always the first step. So the second step is to identify a problem and this is what we like to call in as you know in research the gap in literature. So a problem slash gap in literature is the part of research that we that is missing. So when you do research in fact in order to graduate from a PhD you have to and this is one of the criteria you have to produce research it has to be in a thesis or in a in a published paper it has to be research it has to be a finding that is new something that we do not know before we did not know before your research right and that is the number one criteria for for actually getting a phd it is the fact that it has to be something new has to be something novel that you have discovered okay so you need to think about the gap in literature where is there a missing piece i understand this i understand that we know this we know that but what is there that we don't quite know and that is the bit that you are then going to try to identify during your research process right chosen a topic now we need to find the problem where is the missing information now in order to do this you need to have read a lot of papers around your topic. So that's why I said initially, you need to have had approval from your committee, from your tutor, your supervisor to say, right, that's okay. It's good for me to go there. Now you've got that topic that you're looking at. You then want to try to find the gap. Where are you going to slot in? What is it that you are going to provide in terms of knowledge? Now, the identifying a problem is actually quite an important and quite critical part of the research process it's almost impossible you to continue on with your research without having identified the problem because if you don't have a problem you don't know what it is you're looking at you don't know what methods you're using you don't know what your research question is going to be or your hypothesis so at this stage you have to have a very well-defined research problem and your question in order to continue on to the next steps so when i say research problem and we'll talk about this more in in the following video that i'm going to produce about it but when i talk about research problem it could be a number of different things so it could be that we understand or we have the knowledge of a certain situation but now you're comparing it to a different situation so it could be more theoretical where you're comparing two things to each other that haven't been compared before so that would be fine as long as what you have is something original or you may be trying to explore a specific relationship let's say for example in my case with my PhD I was looking at two different proteins and the relationship between them so that is one type of research that you can do as well and so just think about your topic and think about where the gap is in the literature you have to read a lot to be able to find this and a question I get a lot emailed to me and directed to me is about this problem so how do I find a problem like how do i find a gap in literature and it's almost impossible for me to to give you any answers because i have to have read all the papers within your topic in order to answer that question which is almost impossible so it's something that you have to do independently and you can always discuss with me you can discuss kind of trying to refine that question but for the most part you need to read around your subject yourself to get that question then step number three is to actually write down your research question now this is usually in the form maybe of a hypothesis or maybe it could be just a you know a standalone question so this is just you saying this is what i'm looking at so i'm looking at whether actin and myosin bind together to have an impact on the motility of the cortex like that is my question and then i'll have a hypothesis saying actin and myosin bind together and they do this so this is just my question and you're just following on from your problem so you've identified your topic you found the problem the gap in literature and then you write down what your question is so what it is exactly that you are looking for and this will be like your guiding star this will be the thing the question the statement that you have at the top you know at the top of your mind whenever you are looking at literature whenever you're writing a literature review whenever you speak to someone you have that question in mind and so that needs to be something that's really well defined it should also be really specific so it can't just be saying is obesity caused by i don't know fatty food i'm just giving a random example that is too vague is obesity in children in male in female different ages what fatty foods what like you need to be very very specific so specific that someone else should be able to pick up your research question and know what it is you're looking at they need to be able to know sort of what methods you're using is it qualitative or is it quantitative what type of research are you actually doing that should really be in the research question so a good research question is one where that is really well defined then step number four is to write a research design so this is where you're kind of creating a bit of a method a bit of a process within a process so you are now writing down and you're now thinking about how you're going to conduct this research so to follow this will be the research proposal but at this stage here you're just thinking about your research design so how are you going to get this research done what are the factors that you need to think about who are the people the participants that you may need are you doing a lab-based thing do you need cells are you you know what do you need humans do you need animals is it just a review paper so do you just need to think about researchers out there what kind of study are you going to conduct in order to find out the results and the answer to your question essentially the research design is a practical framework so it's giving laying out that frame for you in order to answer your research question. And here, it's more of a thinking process. It's more of a discussion. You might want to ask your supervisor, you might want to ask your tutor to talk about it. How are we going to get the answer to this question? And then to finish off the research process, you now want to write a research proposal. And I have a really good video about this, and I'll leave the link for it down below, where you are detailing all the steps for your research so you're detailing your the background of your research the literature review and you're justifying that there is a need for this research you then want to detail your methods your materials the aim your you know your timeline how long it's going to take you to do these things and then that document is what you take with you to your supervisor and say look this is my research proposal you might take it to a potential phd supervisor and say look this is what i've found and this is what i'm really interested in and here is the proposal and you have it all outlined there for you or it's a document that you're able to use in order to build upon your dissertation and so if you're writing an essay dissertation you are able to use that as well so with your research proposal you are detailing the context you are detailing the purpose the plan and your aims the whole process going from finding a topic finding a problem finding the research question defining the actual research and then now you're compiling all of that and you're putting it into a document called the research proposal and all of this information is in there someone should be able to pick that up see what you found find the review of the literature and say right this is a good study this is a good bit of research we are going to approve this and then you can go on and plan the rest of your research so i hope this video helped you summarizing the steps of the research process to begin with and as i mentioned i'm going to be doing each of these five steps as single videos so i can expand on them and i'll make it into a playlist so you're able to sort of follow up and click on the next couple videos but for now i hope this did help with thinking about the research process and thinking about maybe what stage you are at if you are at any of them if you do want further support you can contact me on thepagedoctor.com where i give support and we have a team of consultants top consultants and top editors that can support you through the process of writing your research proposal or even through the post process of thinking about how you're going to find a gap in literature how you're going to find you know your hypothesis and define that for you so don't forget to leave me a comment and let me know if this was helpful and don't forget to leave me a thumbs up and subscribe to see more from me and I'll see you in my next one. Bye.

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Identifying Priority Focus Areas for Future Guidance Development and Engagement With Interested Parties in Model-Informed Drug Development; Request for Information

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• [Docket No. FDA-2024-N-3904]

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Notice; request for Information.

The Center for Drug Evaluation and Research (CDER) and Center for Biologics Evaluation and Research (CBER) within the Food and Drug Administration (FDA or Agency) are announcing a request for information (RFI) for advancing model-informed drug development (MIDD). The purpose of this request is to obtain feedback on how to increase application of established MIDD approaches in regulatory decision making, to identify how emerging MIDD approaches are being incorporated within drug product development, and to identify opportunities to enhance interactions with FDA when discussing MIDD approaches. We intend to use the information submitted in response to this request to identify and prioritize potential focus areas for future policy or guidance development and enhance engagement with interested parties, including interactions as part of the ( print page 71375) MIDD Paired Meeting Program and other formal meetings with drug developers.

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Yvonne Knight, Center for Drug Evaluation and Research, Food and Drug Administration, 10903 New Hampshire Ave., Bldg. 51, Rm. 2142, Silver Spring, MD 20993, 301-796-2133, [email protected] , with the subject line “MIDD Meetings Program for CDER”; or Christopher Egelebo, Center for Biologics Evaluation and Research, Food and Drug Administration, 10903 New Hampshire Ave., Bldg. 71, Rm. 5340, Silver Spring, MD 20993, 240-402-8625, [email protected] , with the subject line “MIDD Meetings Program for CBER.”

FDA is announcing a request for information entitled “Identifying Priority Focus Areas for Future Guidance Development and Engagement with Interested Parties in Model-Informed Drug Development.” Information submitted in response to this notice will be used by CDER, including by its Quantitative Medicine Center of Excellence, and CBER to assist in identifying and prioritizing potential focus areas for future policy or guidance development and engagement with interested parties.

MIDD approaches integrate exposure-based biological and statistical models derived from nonclinical and clinical data sources in drug development and decision making. MIDD applications span the life cycle of new drug product development. MIDD approaches use a variety of quantitative methods ( e.g., population pharmacokinetic (popPK) modeling, exposure-response (E-R) modeling, physiologically based pharmacokinetic (PBPK) modeling, systems pharmacology/mechanistic modeling, disease progression modeling, drug-trial-disease modeling and simulation, artificial intelligence/machine learning (AI/ML) approaches) to help assess the risks and benefits of drug products, contribute to the evidentiary framework for efficacy and/or safety, and optimize dosing regimens for patients, among other applications. When successfully applied, MIDD approaches might reduce animal testing, improve clinical trial design and efficiency, inform identification of dosing regimens with improved benefit-risk profiles, increase the probability of regulatory success through synergetic engagement with interested parties, and optimize drug dosing/therapeutic individualization in the absence of dedicated trials.

Beginning with Prescription Drug User Fee Act (PDUFA) VI, FDA began granting focused meetings as part of the MIDD Paired Meeting Pilot to: (1) provide a forum for regulatory interaction between drug developers and FDA on the application of MIDD approaches in specific drug development programs; and (2) provide ( print page 71376) an opportunity for FDA to provide advice regarding how particular MIDD approaches can be used in a specific drug development program. Other deliverables as part of PDUFA VI included increasing regulatory science and review capacity in MIDD approaches and convening multiple workshops to identify best practices for MIDD (topics including E-R, PBPK, disease progression modeling, and immunogenicity assessments). In addition, FDA published or revised multiple guidances on MIDD. As part of PDUFA VII, the MIDD Paired Meeting Program has been continued and this RFI is to elicit public input on future focus areas for advancing MIDD. More information on the MIDD Paired Meeting program can be found at https://www.fda.gov/​drugs/​development-resources/​model-informed-drug-development-paired-meeting-program .

FDA is interested in detailed comments on the topics listed in this section below to identify and inform future priorities for MIDD-related policy, including guidance development and engagement with interested parties. The topics identified in this section are not meant to be exhaustive. FDA is also interested in any other pertinent information that interested parties would like to share related to guidance and enhancing MIDD-related interactions with FDA. FDA encourages interested parties to provide the specific rationale and basis for their comments, including any available supporting data and information.

Several quantitative approaches, such as popPK, E-R, and PBPK, are routinely employed in drug development and regulatory assessment. The Agency aims to identify areas within these approaches that would benefit from the development of additional policies or guidance on methodology and best practices. In addition, with this RFI, the Agency is seeking input to explore potential guidance needs and appropriately identify and prioritize potential topics for guidance development in all emerging MIDD approaches for drug and biological products, including but not limited to, AI/ML used in both drug design and evaluation and digital-twin technology.

MIDD approaches that leverage comprehensive information—including disease and patient population characteristics ( e.g., intrinsic and extrinsic factors), drug properties, placebo effects, nonclinical and clinical E-R relationships—are potent tools and can be utilized across all stages of the drug development life cycle to support decision making. This is particularly important for rare diseases and emerging therapeutic and prophylactic/preventative modalities where there may be practical and ethical challenges in conducting traditional drug development programs or where there is limited drug development experience. We seek input on the need to develop guidances that discuss considerations to facilitate MIDD methods development, application, uptake, and acceptance in specific therapeutic areas. Related topics include identification of opportunities for incorporation of real-world data, specific therapeutic modality considerations, and preclinical to clinical translations and to appropriately identify and prioritize potential topics in this area.

Building on the success of the MIDD Paired Meeting Program, FDA is interested in better understanding ways to facilitate discussion around MIDD approaches outside the MIDD Paired Meeting Program as part of regulatory meetings and regulatory submissions. This includes identifying what is currently working well and what are the barriers ( e.g., technical, regulatory) encountered while trying to interact with FDA on MIDD-related activities.

FDA continues to engage on MIDD approaches as part of external workshops with interested parties, including workshops described and completed under PDUFA VI. FDA seeks to identify and prioritize potential topics and better ways for communication and engagement with interested parties.

Dated: August 28, 2024.

Lauren K. Roth,

Associate Commissioner for Policy.

[ FR Doc. 2024-19712 Filed 8-30-24; 8:45 am]

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The elastic-analysis-based study on the internal force and deformation of the double-system composite guideway, 1. introduction, 2. design of the dscg, 2.1. cross-section design, 2.2. load illustration, 2.2.1. load acting mode, 2.2.2. load values, 2.3. setting of shear studs, 3. theoretical derivation of the elastic analysis method, 3.1. micro-element body analysis of composite structures, 3.2. theoretical derivation and verification of interfacial slip differential equation, 3.2.1. interfacial slip differential equation based on the equivalent section method, 3.2.2. interfacial slip differential equation based on the principle of virtual work method, 3.2.3. verification analysis of the interface slip differential equation under different pre-stress increment calculation methods, 3.3. solution of deflection and axial force equations, 3.3.1. flexural differential equation, 3.3.2. axial force differential equation, 4. development of internal force and deformation of the dscg with span l = 30 m, 4.1. interface slip analysis, 4.2. axial force analysis, 4.3. deflection analysis, 5. additional deformation theory and finite element model validation, 5.1. additional deformation theory, 5.2. establishment of the fea, 5.2.1. finite element model parameterisation, 5.2.2. material constitutive model, 5.2.3. data analysis of the fea, 5.3. discussion of the fea data, 6. the development law of internal force and deformation of the dscg with different spans, 6.1. analysis of interface slip distribution of the dscg with different spans, 6.2. distribution analysis of axial force in the dscg with different spans, 6.3. vertical deflection distribution analysis of the dscg with different spans, 7. conclusions and discussion, 7.1. conclusions.

• In the elastic analysis of the DSCG, the pre-stress increment formulas based on the equivalent section method and the principle of the virtual work method have little effect on the slip of the combined interface. The specific figures are 0.74% for the virtual work principle method and 0.03% for the equivalent section method. Both methods of pre-stress increment calculation are suitable for the elastic analysis of DSCGs.
• In this study, we found that the self-weight load has the most significant impact on the structural axial force and deformation, accounting for about 53%. The maximum values of the interface slip, axial force, and vertical deformation when the interface slip stiffness is 1.5 k L are 0.36, 0.96, and 0.91 times the multiples of the slip stiffness, respectively when the slip stiffness is 0.5 k L . This is caused by the load of 0.5 P , which is 0.62, 0.61, and 0.61 times the multiples of the load of 1.5 P .
• The additional deformation theory was used to approximate the deflection deformation data of the DSCG based on the elastic analysis method, and the error was controlled within the range of 0–11.19%. The finite element model of material linear elasticity is closer to the theoretical model in terms of the interface slip and deformation, and the material non-linear factors have little effect on the axial force of the DSCG.
• Through the analysis of the axial force and deformation behaviour of the DSCG with different spans, the span and interface slip stiffness were found to significantly impact the interface slip amount and have a minor effect on the maximum value of the axial force and vertical deformation. The interface slip amount, axial force, and deflection of the span L = 25 m are 0.64, 0.43, and 0.24 times the span L = 35 m guideway, respectively.

7.2. Discussion

Author contributions, data availability statement, conflicts of interest.

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Bai, Z.; Zhu, E.; Cai, W.; Jian, H.; Li, J. The Elastic-Analysis-Based Study on the Internal Force and Deformation of the Double-System Composite Guideway. Buildings 2024 , 14 , 2718. https://doi.org/10.3390/buildings14092718

Bai Z, Zhu E, Cai W, Jian H, Li J. The Elastic-Analysis-Based Study on the Internal Force and Deformation of the Double-System Composite Guideway. Buildings . 2024; 14(9):2718. https://doi.org/10.3390/buildings14092718

Bai, Zhengwei, Eryu Zhu, Wenchao Cai, Honghe Jian, and Jiacheng Li. 2024. "The Elastic-Analysis-Based Study on the Internal Force and Deformation of the Double-System Composite Guideway" Buildings 14, no. 9: 2718. https://doi.org/10.3390/buildings14092718

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Frontiers in high entropy alloys and high entropy functional materials

• Published: 28 August 2024

Cite this article

• Wen-Tao Zhang 1   na1 ,
• Xue-Qian Wang 3   na1 ,
• Feng-Qi Zhang 18   na1 ,
• Xiao-Ya Cui 4 ,
• Bing-Bing Fan 5 ,
• Jia-Ming Guo 6 ,
• Zhi-Min Guo 7 ,
• Rui Huang 8 ,
• Wen Huang 1 ,
• Xu-Bo Li 9 ,
• Meng-Ru Li 5 ,
• Yan Ma 10 ,
• Zhi-Hua Shen 11 ,
• Yong-Gang Sun 12 ,
• De-Zhuang Wang 13 ,
• Fei-Yang Wang 14 ,
• Li-Qiang Wang 15 ,
• Nan Wang 16 ,
• Tian-Li Wang 17 ,
• Wei Wang 18 ,
• Xiao-Yang Wang 4 ,
• Yi-Han Wang 19 ,
• Fu-Jie Yu 1 ,
• Yu-Zhen Yin 27 ,
• Ling-Kun Zhang 8 ,
• Yi Zhang 20 ,
• Jian-Yang Zhang 28 ,
• Qi Zhao 1 ,
• Yu-Ping Zhao 7 ,
• Xin-Dong Zhu 1 ,
• Yasir Sohail 21 ,
• Ya-Nan Chen 4 ,
• Tao Feng 1 ,
• Qi-Long Gao 5 ,
• Hai-Yan He 11 ,
• Yong-Jiang Huang 12 ,
• Zeng-Bao Jiao 6 ,
• Hua Ji 22 ,
• Yao Jiang 1 ,
• Qiang Li 23 ,
• Xiao-Ming Li 1 ,
• Wei-Bing Liao 17 ,
• Huai-Jun Lin 9 ,
• Hui Liu 14 ,
• Qi Liu 18 ,
• Qing-Feng Liu 13 ,
• Wei-Di Liu 24 ,
• Xiong-Jun Liu 25 ,
• Yang Lu 15 ,
• Yi-Ping Lu 8 ,
• Wen Ma 26 ,
• Xue-Fei Miao 1 ,
• Jie Pan 27 ,
• Qing Wang 20 ,
• Hong-Hui Wu 14 ,
• Yuan Wu 19 ,
• Tao Yang 28 ,
• Wei-Ming Yang 10 ,
• Qian Yu 7 ,
• Jin-Yu Zhang 21 ,
• Zhi-Gang Chen 24 ,
• Liang Mao 29 ,
• Yang Ren 18 ,
• Bao-Long Shen 3 ,
• Xun-Li Wang 18 ,
• Zhe Jia 3 ,
• Zhen-Duo Wu 2 &
• Si Lan   ORCID: orcid.org/0000-0002-3104-4909 1  

Owing to their exceptional properties, high-entropy alloys (HEAs) and high-entropy materials have emerged as promising research areas and shown diverse applications. Here, the recent advances in the field are comprehensively reviewed, organized into five sections. The first section introduces the background of HEAs, covering their definition, significance, application prospects, basic properties, design principles, and microstructure. The subsequent section focuses on cutting-edge high-entropy structural materials, highlighting developments such as nanostructured alloys, grain boundary engineering, eutectic systems, cryogenic alloys, thin films, micro-nano-lattice structures, additive manufacturing, high entropy metallic glasses, nano-precipitate strengthened alloys, composition modulation, alloy fibers, and refractory systems. In the following section, the emphasis shifts to functional materials, exploring HEAs as catalysts, magneto-caloric materials, corrosion-resistant alloys, radiation-resistant alloys, hydrogen storage systems, and materials for biomedicine. Additionally, the review encompasses functional high-entropy materials outside the realm of alloys, including thermoelectric, quantum dots, nanooxide catalysts, energy storage materials, negative thermal expansion ceramics, and high-entropy wave absorption materials. The paper concludes with an outlook, discussing future directions and potential growth areas in the field. Through this comprehensive review, researchers, engineers, and scientists may gain valuable insights into the recent progress and opportunities for further exploration in the exciting domains of high-entropy alloys and functional materials.

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Acknowledgement

This study was financially supported by the National Key R&D Program of China (No.2021YFB3802800), the National Natural Science Foundation of China (Nos. 52222104, 12261160364, 51871120, 51520105001, 22275089, 52071157, 52231005, 52201174, 52171165, 52261033, 52371155, 51801128, 52171219, U20A20278, 52371106, 22071221, 52122408, 52201190, 22075014, 52272040, 62222405, 22125602, and 52301052) and the Natural Science Foundation of Jiangsu Province (Nos. BK20200019, BK20220858 and BK20231458). Zhen-Duo Wu acknowledges support by the open research fund of Songshan Lake Materials Laboratory (No. 2022SLABFN19). Huai-Jun Lin acknowledges support by Guangdong Basic and Applied Basic Research Foundation (No. 2024B1515020010). Jin-Yu Zhang acknowledges support by Shanxi Province Youth Innovation Team Project (No. 22JP042). Qian Yu acknowledges support by the National Science Fund for Distinguished Young Scholars of China (No. 52325102). Hai-Yan He acknowledges support by the Large Scientific Facility Open Subject of Songshan Lake, Dongguan, Guangdong. Zeng-Bao Jiao acknowledges support by the research institute for Advanced Manufacturing Fund (No. P0046108). Yang Lu acknowledges support by the Hong Kong RGC general research fund (No.11200623) and CRF project C7074-23G. Zhi-Gang Chen thanks the financial support from the Australian Research Council, HBIS-UQ Innovation Centre for Sustainable Steel project, and the QUT Capacity Building Professor Program. Zhi-Gang Chen acknowledges the National Computational Merit Allocation Scheme 2024 (wk98), supported by the National Computational Infrastructure, for providing computational resources and services. Zhi-Gang Chen acknowledges the use of the Central Analytical Research Facility hosted by the Institute for Future Environments at QUT. Wei-Di Liu acknowledges Queensland Cyber Infrastructure Foundation Ltd (Project pe62) for providing computation allocation. Yao Jiang acknowledges support by the Fundamental Research Funds for the Central Universities (No. 30923010211).

Author information

Wen-Tao Zhang, Xue-Qian Wang and Feng-Qi Zhang have contributed equally to this work.

Authors and Affiliations

School of Materials Science and Engineering, Nanjing University of Science and Technology, Nanjing, 210094, China

Wen-Tao Zhang, Wen Huang, Fu-Jie Yu, Qi Zhao, Xin-Dong Zhu, Tao Feng, Yao Jiang, Xiao-Ming Li, Xue-Fei Miao, He Zhu & Si Lan

City University of Hong Kong (Dongguan), Dongguan, 523000, China

Zhen-Duo Wu

Jiangsu Key Laboratory for Advanced Metallic Materials, School of Materials Science and Engineering, Southeast University, Nanjing, 211189, China

Xue-Qian Wang, Bao-Long Shen & Zhe Jia

School of Materials Science and Engineering, Tianjin University, Tianjin, 300072, China

Xiao-Ya Cui, Xiao-Yang Wang & Ya-Nan Chen

School of Physics and Microelectronics, Zhengzhou University, Zhengzhou, 450001, China

Bing-Bing Fan, Meng-Ru Li & Qi-Long Gao

Department of Mechanical Engineering, Research Institute for Advanced Manufacturing, The Hong Kong Polytechnic University, Hong Kong, 100872, China

Jia-Ming Guo & Zeng-Bao Jiao

Center of Electron Microscopy and State Key Laboratory of Silicon Materials, School of Materials Science and Engineering, Zhejiang University, Hangzhou, 310027, China

Zhi-Min Guo, Yu-Ping Zhao & Qian Yu

Key Laboratory of Solidification Control and Digital Preparation Technology (Liaoning Province), School of Materials Science and Engineering, Dalian University of Technology, Dalian, 116024, China

Rui Huang, Ling-Kun Zhang & Yi-Ping Lu

Institute of Advanced Wear & Corrosion Resistance and Functional Materials, Jinan University, Guangzhou, 510632, China

Xu-Bo Li & Huai-Jun Lin

School of Mechanics and Civil Engineering, China University of Mining and Technology, Xuzhou, 221116, China

Yan Ma & Wei-Ming Yang

School of Physical Sciences, Great Bay University, Dongguan, 523000, China

Zhi-Hua Shen & Hai-Yan He

School of Materials Science and Engineering, Harbin Institute of Technology, Harbin, 150001, China

Yong-Gang Sun & Yong-Jiang Huang

State Key Laboratory of Materials-Oriented Chemical Engineering, College of Chemical Engineering, Nanjing Tech University, Nanjing, 211816, China

De-Zhuang Wang & Qing-Feng Liu

Beijing Advanced Innovation Center for Materials Genome Engineering, Research Institute for Carbon Neutrality, University of Science and Technology Beijing, Beijing, 100083, China

Fei-Yang Wang, Hui Liu & Hong-Hui Wu

Department of Mechanical Engineering, The University of Hong Kong, Hong Kong, 999077, China

Li-Qiang Wang & Yang Lu

School of Computing, Macquarie University, Sydney, 2113, Australia

Key Laboratory of Optoelectronic Devices and Systems of Ministry of Education and Guangdong Province, College of Physics and Optoelectronic Engineering, Shenzhen University, Shenzhen, 518060, China

Tian-Li Wang & Wei-Bing Liao

Department of Physics, City University of Hong Kong, Hong Kong, 999077, China

Feng-Qi Zhang, Wei Wang, Qi Liu, Yang Ren & Xun-Li Wang

State Key Laboratory for Advanced Metals and Materials, University of Science and Technology Beijing, Beijing, 100083, China

Yi-Han Wang & Yuan Wu

Institute of materials, Shanghai University, Shanghai, 200072, China

Yi Zhang & Qing Wang

School of Material Science and Engineering, Xi’an Jiaotong University, Xi’an, 710049, China

Yasir Sohail & Jin-Yu Zhang

School of Materials Science and Engineering, Tsinghua University, Beijing, 10003, China

School of Physics Science and Technology, Xinjiang University, Urumqi, 830000, China

School of Chemistry and Physics, ARC Research Hub in Zero-emission Power Generation for Carbon Neutrality, and Centre for Materials Science, Queensland University of Technology, Brisbane, 4000, Australia

Wei-Di Liu & Zhi-Gang Chen

State Key Laboratory for Advanced Metals and Materials, University of Science and, Technology Beijing, Beijing, 100083, China

Xiong-Jun Liu

Youke Publishing Co., Ltd., China GRINM Group Co., Ltd, Beijing, 100088, China

State Key Laboratory of Materials Processing and Die & Mould Technology, School of Materials Science and Engineering, Huazhong University of Science and Technology, Wuhan, 430074, China

Yu-Zhen Yin & Jie Pan

Department of Materials Science and Engineering, City University of Hong Kong, Hong Kong, 999077, China

Jian-Yang Zhang & Tao Yang

State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing, 210093, China

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Corresponding authors

Correspondence to Yasir Sohail , Ya-Nan Chen , Tao Feng , Qi-Long Gao , Hai-Yan He , Yong-Jiang Huang , Zeng-Bao Jiao , Yao Jiang , Qiang Li , Xiao-Ming Li , Wei-Bing Liao , Huai-Jun Lin , Hui Liu , Qi Liu , Qing-Feng Liu , Wei-Di Liu , Xiong-Jun Liu , Yang Lu , Yi-Ping Lu , Wen Ma , Xue-Fei Miao , Jie Pan , Qing Wang , Hong-Hui Wu , Yuan Wu , Wei-Ming Yang , Qian Yu , Zhi-Gang Chen , Liang Mao , Zhe Jia , He Zhu , Zhen-Duo Wu or Si Lan .

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Conflicts of interests.

Qi-Liu, Zhi-Gang Chen and Si Lan are the editorial board members for Rare Metals and are not involved in the editorial review or the decision to publish this article. All authors declare that there are no competing interests.

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About this article

Zhang, WT., Wang, XQ., Zhang, FQ. et al. Frontiers in high entropy alloys and high entropy functional materials. Rare Met. (2024). https://doi.org/10.1007/s12598-024-02852-0

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Received : 15 January 2024

Revised : 08 March 2024

Accepted : 19 April 2024

Published : 28 August 2024

DOI : https://doi.org/10.1007/s12598-024-02852-0

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