field experiment vs field study

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Field experiments, explained

Editor’s note: This is part of a series called “The Day Tomorrow Began,” which explores the history of breakthroughs at UChicago.  Learn more here.

A field experiment is a research method that uses some controlled elements of traditional lab experiments, but takes place in natural, real-world settings. This type of experiment can help scientists explore questions like: Why do people vote the way they do? Why do schools fail? Why are certain people hired less often or paid less money?

University of Chicago economists were early pioneers in the modern use of field experiments and conducted innovative research that impacts our everyday lives—from policymaking to marketing to farming and agriculture.  

Jump to a section:

What is a field experiment, why do a field experiment, what are examples of field experiments, when did field experiments become popular in modern economics, what are criticisms of field experiments.

Field experiments bridge the highly controlled lab environment and the messy real world. Social scientists have taken inspiration from traditional medical or physical science lab experiments. In a typical drug trial, for instance, participants are randomly assigned into two groups. The control group gets the placebo—a pill that has no effect. The treatment group will receive the new pill. The scientist can then compare the outcomes for each group.

A field experiment works similarly, just in the setting of real life.

It can be difficult to understand why a person chooses to buy one product over another or how effective a policy is when dozens of variables affect the choices we make each day. “That type of thinking, for centuries, caused economists to believe you can't do field experimentation in economics because the market is really messy,” said Prof. John List, a UChicago economist who has used field experiments to study everything from how people use  Uber and  Lyft to  how to close the achievement gap in Chicago-area schools . “There are a lot of things that are simultaneously moving.”

The key to cleaning up the mess is randomization —or assigning participants randomly to either the control group or the treatment group. “The beauty of randomization is that each group has the same amount of bad stuff, or noise or dirt,” List said. “That gets differenced out if you have large enough samples.”

Though lab experiments are still common in the social sciences, field experiments are now often used by psychologists, sociologists and political scientists. They’ve also become an essential tool in the economist’s toolbox.  

Some issues are too big and too complex to study in a lab or on paper—that’s where field experiments come in.

In a laboratory setting, a researcher wants to control as many variables as possible. These experiments are excellent for testing new medications or measuring brain functions, but they aren’t always great for answering complex questions about attitudes or behavior.

Labs are highly artificial with relatively small sample sizes—it’s difficult to know if results will still apply in the real world. Also, people are aware they are being observed in a lab, which can alter their behavior. This phenomenon, sometimes called the Hawthorne effect, can affect results.

Traditional economics often uses theories or existing data to analyze problems. But, when a researcher wants to study if a policy will be effective or not, field experiments are a useful way to look at how results may play out in real life.

In 2019, UChicago economist Michael Kremer (then at Harvard) was awarded the Nobel Prize alongside Abhijit Banerjee and Esther Duflo of MIT for their groundbreaking work using field experiments to help reduce poverty . In the 1990s and 2000s, Kremer conducted several randomized controlled trials in Kenyan schools testing potential interventions to improve student performance. 

In the 1990s, Kremer worked alongside an NGO to figure out if buying students new textbooks made a difference in academic performance. Half the schools got new textbooks; the other half didn’t. The results were unexpected—textbooks had no impact.

“Things we think are common sense, sometimes they turn out to be right, sometimes they turn out to be wrong,” said Kremer on an episode of  the Big Brains podcast. “And things that we thought would have minimal impact or no impact turn out to have a big impact.”

In the early 2000s, Kremer returned to Kenya to study a school-based deworming program. He and a colleague found that providing deworming pills to all students reduced absenteeism by more than 25%. After the study, the program was scaled nationwide by the Kenyan government. From there it was picked up by multiple Indian states—and then by the Indian national government.

“Experiments are a way to get at causal impact, but they’re also much more than that,” Kremer said in  his Nobel Prize lecture . “They give the researcher a richer sense of context, promote broader collaboration and address specific practical problems.”    

Among many other things, field experiments can be used to:

Study bias and discrimination

A 2004 study published by UChicago economists Marianne Bertrand and Sendhil Mullainathan (then at MIT) examined racial discrimination in the labor market. They sent over 5,000 resumes to real job ads in Chicago and Boston. The resumes were exactly the same in all ways but one—the name at the top. Half the resumes bore white-sounding names like Emily Walsh or Greg Baker. The other half sported African American names like Lakisha Washington or Jamal Jones. The study found that applications with white-sounding names were 50% more likely to receive a callback.

Examine voting behavior

Political scientist Harold Gosnell , PhD 1922, pioneered the use of field experiments to examine voting behavior while at UChicago in the 1920s and ‘30s. In his study “Getting out the vote,” Gosnell sorted 6,000 Chicagoans across 12 districts into groups. One group received voter registration info for the 1924 presidential election and the control group did not. Voter registration jumped substantially among those who received the informational notices. Not only did the study prove that get-out-the-vote mailings could have a substantial effect on voter turnout, but also that field experiments were an effective tool in political science.

Test ways to reduce crime and shape public policy

Researchers at UChicago’s  Crime Lab use field experiments to gather data on crime as well as policies and programs meant to reduce it. For example, Crime Lab director and economist Jens Ludwig co-authored a  2015 study on the effectiveness of the school mentoring program  Becoming a Man . Developed by the non-profit Youth Guidance, Becoming a Man focuses on guiding male students between 7th and 12th grade to help boost school engagement and reduce arrests. In two field experiments, the Crime Lab found that while students participated in the program, total arrests were reduced by 28–35%, violent-crime arrests went down by 45–50% and graduation rates increased by 12–19%.

The earliest field experiments took place—literally—in fields. Starting in the 1800s, European farmers began experimenting with fertilizers to see how they affected crop yields. In the 1920s, two statisticians, Jerzy Neyman and Ronald Fisher, were tasked with assisting with these agricultural experiments. They are credited with identifying randomization as a key element of the method—making sure each plot had the same chance of being treated as the next.

The earliest large-scale field experiments in the U.S. took place in the late 1960s to help evaluate various government programs. Typically, these experiments were used to test minor changes to things like electricity pricing or unemployment programs.

Though field experiments were used in some capacity throughout the 20th century, this method didn’t truly gain popularity in economics until the 2000s. Kremer and List were early pioneers and first began experimenting with the method in the 1990s.

In 2004, List co-authored  a seminal paper defining field experiments and arguing for the importance of the method. In 2008,  he and UChicago economist Steven Levitt published another study tracing the history of field experiments and their impact on economics.

In the past few decades, the use of field experiments has exploded. Today, economists often work alongside NGOs or nonprofit organizations to study the efficacy of programs or policies. They also partner with companies to test products and understand how people use services.  

There are several  ethical discussions happening among scholars as field experiments grow in popularity. Chief among them is the issue of informed consent. All studies that involve human test subjects must be approved by an institutional review board (IRB) to ensure that people are protected.

However, participants in field experiments often don’t know they are in an experiment. While an experiment may be given the stamp of approval in the research community, some argue that taking away peoples’ ability to opt out is inherently unethical. Others advocate for stricter review processes as field experiments continue to evolve.

According to List, another major issue in field experiments is the issue of scale . Many experiments only test small groups—say, dozens to hundreds of people. This may mean the results are not applicable to broader situations. For example, if a scientist runs an experiment at one school and finds their method works there, does that mean it will also work for an entire city? Or an entire country?

List believes that in addition to testing option A and option B, researchers need a third option that accounts for the limitations that come with a larger scale. “Option C is what I call critical scale features. I want you to bring in all of the warts, all of the constraints, whether they're regulatory constraints, or constraints by law,” List said. “Option C is like your reality test, or what I call policy-based evidence.”

This problem isn’t unique to field experiments, but List believes tackling the issue of scale is the next major frontier for a new generation of economists.

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Experimental Method In Psychology

Saul Mcleod, PhD

Editor-in-Chief for Simply Psychology

BSc (Hons) Psychology, MRes, PhD, University of Manchester

Saul Mcleod, PhD., is a qualified psychology teacher with over 18 years of experience in further and higher education. He has been published in peer-reviewed journals, including the Journal of Clinical Psychology.

Learn about our Editorial Process

Olivia Guy-Evans, MSc

Associate Editor for Simply Psychology

BSc (Hons) Psychology, MSc Psychology of Education

Olivia Guy-Evans is a writer and associate editor for Simply Psychology. She has previously worked in healthcare and educational sectors.

On This Page:

The experimental method involves the manipulation of variables to establish cause-and-effect relationships. The key features are controlled methods and the random allocation of participants into controlled and experimental groups .

What is an Experiment?

An experiment is an investigation in which a hypothesis is scientifically tested. An independent variable (the cause) is manipulated in an experiment, and the dependent variable (the effect) is measured; any extraneous variables are controlled.

An advantage is that experiments should be objective. The researcher’s views and opinions should not affect a study’s results. This is good as it makes the data more valid  and less biased.

There are three types of experiments you need to know:

1. Lab Experiment

A laboratory experiment in psychology is a research method in which the experimenter manipulates one or more independent variables and measures the effects on the dependent variable under controlled conditions.

A laboratory experiment is conducted under highly controlled conditions (not necessarily a laboratory) where accurate measurements are possible.

The researcher uses a standardized procedure to determine where the experiment will take place, at what time, with which participants, and in what circumstances.

Participants are randomly allocated to each independent variable group.

Examples are Milgram’s experiment on obedience and  Loftus and Palmer’s car crash study .

• Strength : It is easier to replicate (i.e., copy) a laboratory experiment. This is because a standardized procedure is used.
• Strength : They allow for precise control of extraneous and independent variables. This allows a cause-and-effect relationship to be established.
• Limitation : The artificiality of the setting may produce unnatural behavior that does not reflect real life, i.e., low ecological validity. This means it would not be possible to generalize the findings to a real-life setting.
• Limitation : Demand characteristics or experimenter effects may bias the results and become confounding variables .

2. Field Experiment

A field experiment is a research method in psychology that takes place in a natural, real-world setting. It is similar to a laboratory experiment in that the experimenter manipulates one or more independent variables and measures the effects on the dependent variable.

However, in a field experiment, the participants are unaware they are being studied, and the experimenter has less control over the extraneous variables .

Field experiments are often used to study social phenomena, such as altruism, obedience, and persuasion. They are also used to test the effectiveness of interventions in real-world settings, such as educational programs and public health campaigns.

An example is Holfing’s hospital study on obedience .

• Strength : behavior in a field experiment is more likely to reflect real life because of its natural setting, i.e., higher ecological validity than a lab experiment.
• Strength : Demand characteristics are less likely to affect the results, as participants may not know they are being studied. This occurs when the study is covert.
• Limitation : There is less control over extraneous variables that might bias the results. This makes it difficult for another researcher to replicate the study in exactly the same way.

3. Natural Experiment

A natural experiment in psychology is a research method in which the experimenter observes the effects of a naturally occurring event or situation on the dependent variable without manipulating any variables.

Natural experiments are conducted in the day (i.e., real life) environment of the participants, but here, the experimenter has no control over the independent variable as it occurs naturally in real life.

Natural experiments are often used to study psychological phenomena that would be difficult or unethical to study in a laboratory setting, such as the effects of natural disasters, policy changes, or social movements.

For example, Hodges and Tizard’s attachment research (1989) compared the long-term development of children who have been adopted, fostered, or returned to their mothers with a control group of children who had spent all their lives in their biological families.

Here is a fictional example of a natural experiment in psychology:

Researchers might compare academic achievement rates among students born before and after a major policy change that increased funding for education.

In this case, the independent variable is the timing of the policy change, and the dependent variable is academic achievement. The researchers would not be able to manipulate the independent variable, but they could observe its effects on the dependent variable.

• Strength : behavior in a natural experiment is more likely to reflect real life because of its natural setting, i.e., very high ecological validity.
• Strength : Demand characteristics are less likely to affect the results, as participants may not know they are being studied.
• Strength : It can be used in situations in which it would be ethically unacceptable to manipulate the independent variable, e.g., researching stress .
• Limitation : They may be more expensive and time-consuming than lab experiments.
• Limitation : There is no control over extraneous variables that might bias the results. This makes it difficult for another researcher to replicate the study in exactly the same way.

Key Terminology

Ecological validity.

The degree to which an investigation represents real-life experiences.

Experimenter effects

These are the ways that the experimenter can accidentally influence the participant through their appearance or behavior.

Demand characteristics

The clues in an experiment lead the participants to think they know what the researcher is looking for (e.g., the experimenter’s body language).

Independent variable (IV)

The variable the experimenter manipulates (i.e., changes) is assumed to have a direct effect on the dependent variable.

Dependent variable (DV)

Variable the experimenter measures. This is the outcome (i.e., the result) of a study.

Extraneous variables (EV)

All variables which are not independent variables but could affect the results (DV) of the experiment. EVs should be controlled where possible.

Confounding variables

Variable(s) that have affected the results (DV), apart from the IV. A confounding variable could be an extraneous variable that has not been controlled.

Random Allocation

Randomly allocating participants to independent variable conditions means that all participants should have an equal chance of participating in each condition.

The principle of random allocation is to avoid bias in how the experiment is carried out and limit the effects of participant variables.

Order effects

Changes in participants’ performance due to their repeating the same or similar test more than once. Examples of order effects include:

(i) practice effect: an improvement in performance on a task due to repetition, for example, because of familiarity with the task;

(ii) fatigue effect: a decrease in performance of a task due to repetition, for example, because of boredom or tiredness.

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A guide to field studies

Last updated

18 April 2023

Reviewed by

Cathy Heath

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Field studies allow researchers to observe and collect data in real-world settings. Unlike laboratory-based or traditional research methods, field studies enable researchers to investigate complex phenomena within their environment, providing a deeper understanding of the research context.

Researchers can use field studies to investigate a wide range of subjects, from the behavior of animals to the practices of businesses or the experiences of individuals in a particular setting.

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• What is a field study?

A field study is a research method that involves conducting observations and collecting data in a natural setting. This method includes observing, interviewing, and interacting with participants in their environment, such as a workplace, community, or natural habitat.

Field studies can take many forms, from ethnographic studies involving extended periods of observation and using an anthropological lens to shorter-term studies focusing on specific behaviors or events. Regardless of its form, a successful field study requires careful planning, preparation, and execution to ensure the data collected is valid and reliable.

• How to plan a field study

Planning a field study is a critical first step in ensuring successful research. Here are some steps to follow when preparing your field study:

1. Define your research question

When developing a good research question , you should make it clear, concise, and specific. It should also be open-ended, allowing for various possible answers rather than a simple yes or no response. Your research question should also be relevant to the broader field of study and contribute new knowledge to the existing literature.

Once you have a defined research question, identify the key variables you need to study and the data you need to collect. It might involve developing a hypothesis or research framework outlining the relationships between different variables and how you’ll measure them in your study.

2. Identify your research site

A research site is a location where you’ll conduct your study and collect data. Here are the types of research sites to consider when planning a field study:

Natural habitats: For environmental or ecological research, you may need to conduct your study in a natural habitat, such as a forest, wetland, or coral reef.

Communities : If your research relates to social or cultural factors, you may need to study a particular community, such as a neighborhood, village, or city.

Organizations : For questions relating to organizational behavior or management, your location will be in a business environment, like a nonprofit or government agency.

Events : If your research question relates to a particular event, you may need to conduct your study at that event, such as, at a protest, festival, or natural disaster.

Ensure your research site represents the population you're studying. For example, if you're exploring cultural beliefs, ensure the community represents the larger population and you have access to a diverse group of participants.

3. Determine your data collection methods

Choosing a suitable method will depend on the research question, the type of data needed, and the characteristics of the participants. Here are some commonly used data collection methods in field studies:

Interviews : You can collect data on people's experiences, perspectives, and attitudes. In some instances, you can use phone or online interviews.

Observations : This method involves watching and recording behaviors and interactions in a specific setting. 

Surveys : By using a survey , you can easily standardize and tailor the questions to provide answers for your research. Respondents can complete the survey in person, by mail, or online.

Document analysis : Organizational reports, letters, diaries, public records, policies, or social media posts can be analyzed to gain context. 

When selecting data collection methods, consider factors such as the availability of participants, the ethical considerations involved, and the resources needed to carry out each method. For example, conducting interviews may require more time and resources than administering a survey.

4. Obtain necessary permissions

Depending on the research location and the nature of the study, you may require permission from local authorities, organizations, or individuals before conducting your research. 

This process is vital when working with human or animal subjects and conducting research in sensitive or protected environments.

Here are some steps you can take to obtain the necessary permissions:

Identify the relevant authorities , including local governments, regulatory bodies, research institutions, or private organizations, to obtain permission for your research.

Reach out to the relevant authorities to explain the nature of your study. Be ready to hand out detailed information about your research. 

If you're conducting research with human participants, you must have their consent . You'll also need to ensure the participants have the right to withdraw from the study at any time.

Obtain necessary permits from regulatory bodies or local authorities. For example, if you're conducting research in a protected area, you may need a research permit from the relevant government agency.

The process of obtaining permissions can be time-consuming, and failure to obtain the necessary permits can lead to legal and ethical issues.

• Examples of field research

Researchers can apply field research to a wide range of disciplines and phenomena. Here are some examples of field research in different fields:

Anthropology : Anthropologists use field research methods to study different communities' social and cultural practices. For instance, an anthropologist might conduct participant observation in a remote community to understand their customs, beliefs, and practices.

Ecology : Ecologists use field research methods to learn the behavior of organisms and their interactions with the environment. For example, an ecologist might conduct field research on the behavior of birds in their natural habitat to understand their feeding habits, nesting patterns, and migration.

Sociology : Sociologists may use field research methods to study social behavior and interactions. For instance, a sociologist might conduct participant observation in a workplace to understand organizational culture and communication dynamics.

Geography : Geographers use field research methods to study different regions’ physical and human contexts. For example, a geographer might conduct field research on the impact of climate change on a particular ecosystem, such as a forest or wetland.

Psychology : Psychologists use field research methods to study human behavior in natural settings. For instance, a psychologist might conduct field research on the effects of stress on students in a school setting.

Education : Researchers studying education may use field research methods to study teaching and learning in real-world settings. For example, you could use field research to test the effectiveness of a new teaching method in a classroom setting.

By using field research methods, researchers can gain a deeper understanding of the complexities of the natural world, human behavior, and social interaction theory and how they affect each other.

• Advantages of field research

Field research has several advantages over other research methods, including:

Authenticity : Field research conducted in natural settings allows researchers to observe and study real-life phenomena as it happens. This authenticity enhances the validity and accuracy of the data collected.

Flexibility : Field research methods are flexible and adaptable to different research contexts. Researchers can adjust their strategies to meet the specific needs of their research questions and participants and uncover new insights as the research unfolds.

Rich data : Field research provides rich and detailed data, often including contextual information that’s difficult to capture through other research methods. This depth of knowledge allows for a more comprehensive and nuanced understanding of the research topic.

Novel insights : Field research can lead to discoveries that may not be possible with other research methods. Observing and studying phenomena in natural settings can provide unique perspectives and new understandings of complex issues.

Field research methods can enhance the quality and validity of research findings and lead to new insights and discoveries that may not be possible with other research methods.

• Disadvantages of field research

While field research has several advantages, there are also some disadvantages that researchers need to consider, including:

Time-consuming : Researchers need to spend time in the field, possibly weeks or months, which can be challenging, especially if the research site is remote or requires travel.

Cost : Conducting field research can be costly, especially if the research site is remote or requires specialized equipment or materials.

Reliance on participants : It may be challenging to recruit participants, and various factors, such as personal circumstances, attitudes, and beliefs, may influence their participation.

Ethical considerations : Field research may raise ethical concerns, mainly if the research involves vulnerable populations or sensitive topics. 

Causality: Researchers may have little control over the environmental or contextual variables they are studying. This can make it difficult to establish causality and then generalize their results with previous research. 

Researchers must carefully weigh the advantages and disadvantages of field research and select the most appropriate research method based on their research question, participants, and context.

What is another name for field study?

Field study is also known as field research or fieldwork. These terms are often used interchangeably and refer to research methods that involve observing and collecting data in natural settings.

What is the difference between a field study and a case study?

Why is field study important.

Field study is critical because it allows researchers to study real-world phenomena in natural settings. This study can also lead to novel insights that may not be possible with other research methods.

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What is Field Research: Definition, Methods, Examples and Advantages

What is Field Research?

Field research is defined as a qualitative method of data collection that aims to observe, interact and understand people while they are in a natural environment. For example, nature conservationists observe behavior of animals in their natural surroundings and the way they react to certain scenarios. In the same way, social scientists conducting field research may conduct interviews or observe people from a distance to understand how they behave in a social environment and how they react to situations around them.

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Field research encompasses a diverse range of social research methods including direct observation, limited participation, analysis of documents and other information, informal interviews, surveys etc. Although field research is generally characterized as qualitative research, it often involves multiple aspects of quantitative research in it.

Field research typically begins in a specific setting although the end objective of the study is to observe and analyze the specific behavior of a subject in that setting. The cause and effect of a certain behavior, though, is tough to analyze due to presence of multiple variables in a natural environment. Most of the data collection is based not entirely on cause and effect but mostly on correlation. While field research looks for correlation, the small sample size makes it difficult to establish a causal relationship between two or more variables.

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Methods of Field Research

Field research is typically conducted in 5 distinctive methods. They are:

• Direct Observation

In this method, the data is collected via an observational method or subjects in a natural environment. In this method, the behavior or outcome of situation is not interfered in any way by the researcher. The advantage of direct observation is that it offers contextual data on people management , situations, interactions and the surroundings. This method of field research is widely used in a public setting or environment but not in a private environment as it raises an ethical dilemma.

• Participant Observation

In this method of field research, the researcher is deeply involved in the research process, not just purely as an observer, but also as a participant. This method too is conducted in a natural environment but the only difference is the researcher gets involved in the discussions and can mould the direction of the discussions. In this method, researchers live in a comfortable environment with the participants of the research design , to make them comfortable and open up to in-depth discussions.

• Ethnography

Ethnography is an expanded observation of social research and social perspective and the cultural values of an  entire social setting. In ethnography, entire communities are observed objectively. For example,  if a researcher would like to understand how an Amazon tribe lives their life and operates, he/she may chose to observe them or live amongst them and silently observe their day-to-day behavior.

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• Qualitative Interviews

Qualitative interviews are close-ended questions that are asked directly to the research subjects. The qualitative interviews could be either informal and conversational, semi-structured, standardized and open-ended or a mix of all the above three. This provides a wealth of data to the researcher that they can sort through. This also helps collect relational data. This method of field research can use a mix of one-on-one interviews, focus groups and text analysis .

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A case study research is an in-depth analysis of a person, situation or event. This method may look difficult to operate, however, it is one of the simplest ways of conducting research as it involves a deep dive and thorough understanding the data collection methods and inferring the data.

Steps in Conducting Field Research

Due to the nature of field research, the magnitude of timelines and costs involved, field research can be very tough to plan, implement and measure. Some basic steps in the management of field research are:

• Build the Right Team: To be able to conduct field research, having the right team is important. The role of the researcher and any ancillary team members is very important and defining the tasks they have to carry out with defined relevant milestones is important. It is important that the upper management too is vested in the field research for its success.
• Recruiting People for the Study: The success of the field research depends on the people that the study is being conducted on. Using sampling methods , it is important to derive the people that will be a part of the study.
• Data Collection Methodology: As spoken in length about above, data collection methods for field research are varied. They could be a mix of surveys, interviews, case studies and observation. All these methods have to be chalked out and the milestones for each method too have to be chalked out at the outset. For example, in the case of a survey, the survey design is important that it is created and tested even before the research begins.
• Site Visit: A site visit is important to the success of the field research and it is always conducted outside of traditional locations and in the actual natural environment of the respondent/s. Hence, planning a site visit alongwith the methods of data collection is important.
• Data Analysis: Analysis of the data that is collected is important to validate the premise of the field research and  decide the outcome of the field research.
• Communicating Results: Once the data is analyzed, it is important to communicate the results to the stakeholders of the research so that it could be actioned upon.

LEARN ABOUT: Research Process Steps

Field Research Notes

Keeping an ethnographic record is very important in conducting field research. Field notes make up one of the most important aspects of the ethnographic record. The process of field notes begins as the researcher is involved in the observational research process that is to be written down later.

Types of Field Research Notes

The four different kinds of field notes are:

• Job Notes: This method of taking notes is while the researcher is in the study. This could be in close proximity and in open sight with the subject in study. The notes here are short, concise and in condensed form that can be built on by the researcher later. Most researchers do not prefer this method though due to the fear of feeling that the respondent may not take them seriously.
• Field Notes Proper: These notes are to be expanded on immediately after the completion of events. The notes have to be detailed and the words have to be as close to possible as the subject being studied.
• Methodological Notes: These notes contain methods on the research methods used by the researcher, any new proposed research methods and the way to monitor their progress. Methodological notes can be kept with field notes or filed separately but they find their way to the end report of a study.
• Journals and Diaries: This method of field notes is an insight into the life of the researcher. This tracks all aspects of the researchers life and helps eliminate the Halo effect or any research bias that may have cropped up during the field research.

LEARN ABOUT: Causal Research

Reasons to Conduct Field Research

Field research has been commonly used in the 20th century in the social sciences. But in general, it takes a lot of time to conduct and complete, is expensive and in a lot of cases invasive. So why then is this commonly used and is preferred by researchers to validate data? We look at 4 major reasons:

• Overcoming lack of data: Field research resolves the major issue of gaps in data. Very often, there is limited to no data about a topic in study, especially in a specific environment analysis . The research problem might be known or suspected but there is no way to validate this without primary research and data. Conducting field research helps not only plug-in gaps in data but collect supporting material and hence is a preferred research method of researchers.
• Understanding context of the study: In many cases, the data collected is adequate but field research is still conducted. This helps gain insight into the existing data. For example, if the data states that horses from a stable farm generally win races because the horses are pedigreed and the stable owner hires the best jockeys. But conducting field research can throw light into other factors that influence the success like quality of fodder and care provided and conducive weather conditions.
• Increasing the quality of data: Since this research method uses more than one tool to collect data, the data is of higher quality. Inferences can be made from the data collected and can be statistically analyzed via the triangulation of data.
• Collecting ancillary data: Field research puts the researchers in a position of localized thinking which opens them new lines of thinking. This can help collect data that the study didn’t account to collect.

LEARN ABOUT: Behavioral Research

Examples of Field Research

Some examples of field research are:

• Decipher social metrics in a slum Purely by using observational methods and in-depth interviews, researchers can be part of a community to understand the social metrics and social hierarchy of a slum. This study can also understand the financial independence and day-to-day operational nuances of a slum. The analysis of this data can provide an insight into how different a slum is from structured societies.
• U nderstand the impact of sports on a child’s development This method of field research takes multiple years to conduct and the sample size can be very large. The data analysis of this research provides insights into how the kids of different geographical locations and backgrounds respond to sports and the impact of sports on their all round development.
• Study animal migration patterns Field research is used extensively to study flora and fauna. A major use case is scientists monitoring and studying animal migration patterns with the change of seasons. Field research helps collect data across years and that helps draw conclusions about how to safely expedite the safe passage of animals.

LEARN ABOUT:  Social Communication Questionnaire

Advantages of Field Research

The advantages of field research are:

• It is conducted in a real-world and natural environment where there is no tampering of variables and the environment is not doctored.
• Due to the study being conducted in a comfortable environment, data can be collected even about ancillary topics.
• The researcher gains a deep understanding into the research subjects due to the proximity to them and hence the research is extensive, thorough and accurate.

Disadvantages of Field Research

The disadvantages of field research are:

• The studies are expensive and time-consuming and can take years to complete.
• It is very difficult for the researcher to distance themselves from a bias in the research study.
• The notes have to be exactly what the researcher says but the nomenclature is very tough to follow.
• It is an interpretive method and this is subjective and entirely dependent on the ability of the researcher.
• In this method, it is impossible to control external variables and this constantly alters the nature of the research.

LEARN ABOUT: 12 Best Tools for Researchers

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50 Field Experiments and Natural Experiments

Yale University

Donald P. Green (Ph.D., University of California at Berkeley) is Professor of Political Science at Columbia University. The author of four books and more than one hundred essays, Green's research interests span a wide array of topics: voting behavior, partisanship, campaign finance, hate crime, and research methods. Much of his current work uses field experimentation to study the ways in which political campaigns mobilize and persuade voters, but he has also conducted experimental research on the effects of the mass media, civic education classes, and criminal sentencing. With Alan Gerber, he recently co-authored a textbook on this research method titled Field Experiments: Design, Analysis, and Interpretation (W.W. Norton, 2012).

• Published: 05 September 2013
• Cite Icon Cite
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This article evaluates the strengths and limitations of field experimentation. It first defines field experimentation and describes the many forms that field experiments take. It also interprets the growth and development of field experimentation. It then discusses why experiments are valuable for causal inference. The assumptions of experimental and nonexperimental inference are distinguished, noting that the value accorded to observational research is often inflated by misleading reporting conventions. The article elaborates on the study of natural experiments and discontinuities as alternatives to both randomized interventions and conventional nonexperimental research. Finally, it outlines a list of methodological issues that arise commonly in connection with experimental design and analysis: the role of covariates, planned vs. unplanned comparisons, and extrapolation. It concludes by dealing with the ways in which field experimentation is reshaping the field of political methodology.

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Field Experiments

• Reference work entry
• First Online: 01 January 2018
• pp 4569–4574
• Cite this reference work entry

• John A. List 1 &
• David Reiley 1  

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Field experiments have grown significantly in prominence since the 1990s. In this article, we provide a summary of the major types of field experiments, explore their uses, and describe a few examples. We show how field experiments can be used for both positive and normative purposes within economics. We also discuss more generally why data collection is useful in science, and more narrowly discuss the question of generalizability. In this regard, we envision field experiments playing a classic role in helping investigators learn about the behavioural principles that are shared across different domains.

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Exploiting Data from Field Experiments

Experimental Design

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• Published: 23 March 2022

Embracing field studies as a tool for learning

• Jon M. Jachimowicz   ORCID: orcid.org/0000-0002-1197-8958 1  

Nature Reviews Psychology volume  1 ,  pages 249–250 ( 2022 ) Cite this article

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Field studies in social psychology tend to focus on validating existing insights. In addition to learning from the laboratory and bringing those insights to the field — which researchers currently favour — we should also conduct field studies that aim to learn in the field first.

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The author thanks Z. Berry, M. Gorges, O. Hauser, K. Krautter, J. Murray, C. Vinluan and A. Whillans for their excellent comments on an earlier version of this Comment

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Field Experiments

For geologists, social scientists and environmental biologists, amongst others, field experiments are an integral part of the discipline.

This article is a part of the guide:

• Research Designs
• Quantitative and Qualitative Research
• Literature Review
• Quantitative Research Design

Browse Full Outline

• 1 Research Designs
• 2.1 Pilot Study
• 2.2 Quantitative Research Design
• 2.3 Qualitative Research Design
• 2.4 Quantitative and Qualitative Research
• 3.1 Case Study
• 3.2 Naturalistic Observation
• 3.3 Survey Research Design
• 3.4 Observational Study
• 4.1 Case-Control Study
• 4.2 Cohort Study
• 4.3 Longitudinal Study
• 4.4 Cross Sectional Study
• 4.5 Correlational Study
• 5.1 Field Experiments
• 5.2 Quasi-Experimental Design
• 5.3 Identical Twins Study
• 6.1 Experimental Design
• 6.2 True Experimental Design
• 6.3 Double Blind Experiment
• 6.4 Factorial Design
• 7.1 Literature Review
• 7.2 Systematic Reviews
• 7.3 Meta Analysis

As the name suggests, a field study is an experiment performed outside the laboratory, in the 'real' world. Unlike case studies and observational studies , a field experiment still follows all of the steps of the scientific process , addressing research problems and generating hypotheses.

The obvious advantage of a field study is that it is practical and also allows experimentation , without artificially introducing confounding variables .

A population biologist examining an ecosystem could not move the entire environment into the laboratory, so field experiments are the only realistic research method in many fields of science.

In addition, they circumvent the accusation leveled at laboratory experiments of lacking external or ecological validity , or adversely affecting the behavior of the subject.

Social scientists and psychologists often used field experiments to perform blind studies , where the subject was not even aware that they were under scrutiny.

A good example of this is the Piliavin and Piliavin experiment , where the propensity of strangers to help blood covered 'victims' was measured. This is now frowned upon, under the policy of informed consent , and is only used in rare and highly regulated circumstances.

Field experiments can suffer from a lack of a discrete control group and often have many variables to try to eliminate.

For example, if the effects of a medicine are studied, and the subject is instructed not to drink alcohol, there is no guarantee that the subject followed the instructions, so field studies often sacrifice internal validity for external validity .

For fields like biology, geology and environmental science, this is not a problem, and the field experiment can be treated as a sound experimental practice, following the steps of the scientific method .

A major concern shared by all disciplines is the cost of field studies, as they tend to be very expensive.

For example, even a modestly sized research ship costs many thousands of dollars every day, so a long oceanographical research program can run into the millions of dollars.

Pilot studies are often used to test the feasibility of any long term or extensive research program before committing vast amounts of funds and resources. The changeable nature of the external environment and the often-prohibitive investment of time and money mean that field experiments are rarely replicable , so any generalization is always tenuous.

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World Leaders in Research-Based User Experience

Field studies.

January 12, 2024 2024-01-12

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UX researchers are responsible for learning about users, their goals, challenges, and activities, and for bringing that understanding to the organization. If you notice gaps in your knowledge and you want to understand what user behavior is like in real life, then it might be time to leave the office to run a field study.

In This Article:

What is a field study, types of field studies, when is the best time to run a field study, when should you consider other methods, tips for planning field studies.

A field study is a type of context research that takes place in the user's natural environment (sometimes referred to as in situ , Latin for "in place") as opposed to a lab or an orchestrated setting.

Other research methods like secondary (desk) research , diary studies , unmoderated usability testing , remote - or lab-moderated (in-person) usability research  are often popular because they are either easier to set up or they are less resource-intensive (or both) compared to a field study. However, field studies can fill the gaps left by these other methods:

• Observing users in real scenarios will provide you with specific data that directly applies to your audience. Field studies that focus on specific tasks help researchers learn how to best support these tasks. For example, do people tend to use the product or service in the car? While checking in at a facility? At a kiosk? Field studies can reveal how well (or not well) the design supports realistic use cases.
• The context in which people do their tasks can reveal things you wouldn’t know to ask about, such as problems that crop up when new tools or processes are introduced into existing work practices. It also allows you to understand how well systems work in their normal context of use: when people are, say, distracted, in noisy places, or interacting with other people.

The range of possible field studies is very wide. Field studies can be either entirely immersive and open-ended or less immersive and more directed, involving prototypes or usage of specific existing systems.

Direct Observation

Direct observation  is a purely observational study in which the researcher is a “fly on the wall;" they do not intervene in the participants’ activities, nor do they ask any questions. This method is useful for conducting research into user processes — for instance, to help create natural task flows. It is also great for learning users' vocabularies and mental models , understanding businesses’ interactions with customers, and discovering common workarounds — for example by listening in on support calls, watching people moving through amusement parks, or observing sales staff and customers in stores.

Contextual Inquiry

Contextual inquiry  involves a combination of in-depth observation and interviews of a small sample of users to gain a robust understanding of work practices and behaviors. Most qualitative usability tests   in the field fall under this category.

Customer-Site Visits

Customer-site visits are a combination of direct observations and customer interviews, often led by the customer or client. For example, you might take a tour of a facility or walk through a system with them. These visits can help you understand usability issues that arise in particular industries or business contexts, or at certain scales.

Ethnography

Ethnography  requires complete immersion within a person’s or group’s natural setting for a sustained period, in some cases, living as a member of the group. It allows you to gain insight into mental models and social situations that can help products and services fit into people’s lives. This type of research is particularly helpful when your target audience lives in a culture or environment that is different from yours.

Field studies can be done at any time , but it often makes sense to do them before design (or redesign) begins, because such research can lead to fundamental shifts in understanding your users and can change what you would design for them. In particular, it makes sense to use these in the discovery phase of research, while you are still understanding the problem space.

Field studies can also be used in later stages of design or development, as an evaluative research technique . Sometimes this is referred to as “field testing” or “beta testing.” Field testing is a form of field research in which an existing prototype is utilized in its typical context.

If money were no object, we would probably all do much more field research. Unfortunately, field methods have not become cheaper at the same rate as other usability methods, and they can be challenging to facilitate. Beyond reasons of resource constraint, you might decide to stay out of the field in certain other cases.

Remote, Moderated Usability Research

With the advent of digital meeting tools and video chat, field studies can somewhat be facilitated remotely , with participants and facilitators each in their chosen locations. This remote, interactive approach can often be  cheaper and faster  than field or lab studies, since everyone avoids expensive and time-consuming travel to unfamiliar places. Being in your own space also offers comfort, familiar tools, and convenience.

Remote, moderated studies  make sense when:

• Your  participants are all over the map , and traveling to meet in person is too difficult or expensive.
• It’s important to get answers quickly and cheaply, and  you already understand the people, tasks, and contexts in depth .
• You need to conduct a few sessions at a time , for example when testing early designs with only a couple of users for each iteration.
• Many stakeholders or interested parties wish to observe the session , which would be impractical and disruptive during a field study, either by limiting rapport or literally crowding the room. These folks could be “hidden” from participants’ eyes with digital-meeting tools.

Still, remote moderated studies are often limited in how much external context is observable. In other words: you can’t see what the user’s camera doesn’t show you. That missing context is often important when you are trying to understand people and their environment, and extra steps need to be taken  to ensure these studies yield fruitful insights.

Lab Research (Including Traditional and XR or Simulation-Based Research)

You might wish to conduct in-person research in labs, conference rooms, or other spaces when:

• What you are testing or researching is particularly confidential, sensitive, or private.
• You need to record the session (but cannot do so remotely or in the users’ secured location).
• You have several observers who wish to observe these sessions and you can place them into an observer room with a one-way mirror.
• The scenario you need to study is impossible, impractical, or unethical to observe in person (for example: natural disasters, traumatic events, or high-risk scenarios), and must be simulated with extended-reality (XR) headsets or other technology.

While planning your field study , there are steps you can take to optimize your time spent observing users in their context. Ensure your research plan considers the following:

What Are Your Research Questions ?

Carefully consider what your team wants to learn, and how that (and other contextual factors) might factor into the field study’s setup.

• Participants: Who are your target users? Depending on the research method you use, you might need a professional recruiter or a team member to help you  screen and schedule  people.
• Setting: Go where your potential users are most likely doing the tasks you would like to observe: workplaces, schools, shopping centers, airports, and so on. Is there a specific environment or scenario that would be most realistic for your target users? Are there travel considerations (for you and the participants)? Do you have a private room where you can debrief with fellow researchers and observers?
• Timing: What time of day are these activities typically happening (or, alternatively, when in the customer journey)? Will you need to coordinate these sessions outside your normal working hours to accommodate participant schedules?
• Method: How much (or how little) do your participants reveal about their workflow? Does probing seem to significantly disrupt your users’ workflows? Will you need to prepare followup questions for after the observational portion to limit disruptions in users’ natural process? Or, are these questions better asked contextually, in the moment?

Who Is Accompanying You During the Field Study?

While there are certainly cases where a sole researcher will conduct field research alone, it’s far more common to be accompanied by other people, be it fellow researchers (either taking notes or running sessions concurrently) or observers.

Fellow Researchers

During a field study, side chatter can not only be distracting, but it can also bias the results of your study. Similarly, lack of alignment about research questions and intent behind studying tasks can result in researchers observing the wrong things or missing key details. To reduce chatter and increase alignment with others, consider having a research plan and facilitator guide available, with research questions clearly outlined. That way, researchers can not only follow quietly and confidently, but can run sessions in a consistent manner that reduces bias.

Decide whether to allow stakeholders to watch, and if so, what logistical constraints need to be communicated to them. Although it’s often  strategically important and desirable to involve stakeholders in observing user research , it’s not always possible with field studies. Sometimes observers won’t fit in the space, or they would make the research situation too intimidating or otherwise create an awkward situation for the participants. When that happens, you won’t get to observe the most natural behavior and you might not get the candid information that you need.

However, sometimes outside researchers can’t be left alone with participants as a matter of organizational policy, so observers  must  be present. In any case, consider having “slots” for observers to claim, and provide clear guidelines during signup to ensure observers know how to observe and how to help collect data , so they won’t  behave badly .

Do You Have the Right Permissions?

Make sure you have permission to run the study; not just from supervisors or participants, but also from the facility managers. When applicable, work with an ally onsite. When visiting a business, for example, you might need help recruiting, scheduling, reminding, rewarding, and briefing participants. An onsite helper can escort you, introduce you, and help you with equipment or space issues. You may need to get permission in advance to conduct research in public or commercial spaces.

When you encounter problems or behavior that you don’t understand around existing products or services, field studies can help you take a step back and find a new perspective, based on realistic user behavior in realistic contexts.

Doing research where people are can also be crucial to understanding whether new products and services will help, hinder, or fall flat for the people you aim to assist. Set aside assumptions and allow insights to reframe what you’re creating and how it will affect the experiences of the people you’re designing for.

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Field Experiments

Last updated 22 Mar 2021

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Experiments look for the effect that manipulated variables (independent variables) have on measured variables (dependent variables), i.e. causal effects.

Field experiments are conducted in a natural setting (e.g. at a sports event or on public transport), as opposed to the artificial environment created in laboratory experiments. Some variables cannot be controlled due to the unpredictability of these real-life settings (e.g. the public interacting with participants), but an independent variable will still be altered for a dependent variable to be measured against.

Evaluation of field experiments:

- Field experiments generally yield results with higher ecological validity than laboratory experiments, as the natural settings will relate to real life.

- Demand characteristics are less of an issue with field experiments than laboratory experiments (i.e. participants are less likely to adjust their natural behaviour according to their interpretation of the study’s purpose, as they might not know they are in a study).

- Extraneous variables could confound results due to the reduced control experimenters have over them in non-artificial environments, which makes it difficult to find truly causal effects between independent and dependent variables.

- Ethical principles have to be considered, such as the lack of informed consent; if participants are not made aware of their participation in an experiment, privacy must be respected during observations and participants must be debriefed appropriately when observations come to an end.

- Precise replication of the natural environment of field experiments is understandably difficult, so they have poor reliability, unlike laboratory experiments where the exact conditions can be recreated.

- Field experiments are more susceptible to sample bias, as participants are often not randomly allocated to experimental conditions (i.e. participants’ groups are already pre-set rather than randomly assigned).

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The field study method and its variation, the field experiment, along with the laboratory and questionnaire survey methods, are the oldest and most classic means of studying organizations. The field study method is used to gather information on organizational or work-system functioning through systematic direct observation. This information is most often used to identify possible causal relationships between work-system variables and to identify problems with organizational functioning.

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Experimental Research Design: Lab-Experiments vs. Field Experiments

Table of Contents

Experimental research design is a powerful tool for management researchers aiming to test the cause-and-effect relationships between variables. Lab-experiments and field experiments are two popular forms of experimental research design, each with its unique advantages and challenges. In this blog, we will explore both lab-experiments and field experiments, comparing their key features and offering insights on when to choose one over the other.

Lab-Experiments

Definition and key characteristics.

Lab-experiments are conducted in a controlled environment, such as a laboratory, where researchers can manipulate the independent variables and observe the effects on the dependent variables. The primary goal is to establish causality by eliminating confounding factors and controlling extraneous variables.

Advantages of Lab-Experiments:

• Control: Researchers have a high degree of control over the experimental conditions, allowing them to isolate the effects of the independent variable on the dependent variable.
• Replicability: Lab-experiments can be easily replicated by other researchers, leading to increased confidence in the findings.

Disadvantages of Lab-Experiments:

• Artificiality: The controlled setting of a laboratory may not accurately reflect real-world situations, which can limit the external validity of the findings.
• Demand Characteristics: Participants may behave differently in a lab setting due to their awareness of being observed, which can introduce bias.

Field Experiments

Field experiments are conducted in a natural setting where the researcher manipulates the independent variable and observes the effects on the dependent variable while maintaining a level of control. The primary goal is to test the cause-and-effect relationships in real-world situations.

Advantages of Field Experiments:

• Realism: Field experiments take place in real-world settings, which can enhance the external validity of the findings.
• Generalizability: The results from field experiments are more likely to be generalizable to other contexts and situations.

Disadvantages of Field Experiments:

• Less Control: Researchers have less control over extraneous variables in a field setting, which can introduce confounding factors.
• Logistical Challenges: Field experiments can be more challenging to organize and execute than lab-experiments, often requiring more resources and time.

Lab-Experiments vs. Field Experiments: When to Choose One Over the Other?

When deciding between lab-experiments and field experiments, consider the following factors:

• Research Question: Determine whether your research question requires a controlled environment or a real-world setting to answer it effectively.
• Resources and Time: Assess the available resources and time constraints for your study, as field experiments may require more planning and resources.
• External Validity: If generalizability to real-world situations is a priority, consider using field experiments.
• Control and Internal Validity: If establishing causality and controlling for confounding factors is critical, consider using lab-experiments.

Experimental research design is essential for testing cause-and-effect relationships in management research. Both lab-experiments and field experiments have their unique advantages and challenges. By understanding these differences and considering the research question, resources, and validity concerns, researchers can make informed decisions on which experimental design to use for their studies.

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Research Methodology for Management Decisions

1 Research Methodology: An Overview

• Meaning of Research
• Research Methodology
• Research Method
• Business Research Method
• Types of Research
• Importance of business research
• Role of research in important areas

2 Steps for Research Process

• Research process
• Define research problems
• Research Problem as Hypothesis Testing
• Extensive literature review in research
• Development of working hypothesis
• Preparing the research design
• Collecting the data
• Analysis of data
• Preparation of the report or the thesis

3 Research Designs

• Functions and Goals of Research Design
• Characteristics of a Good Design
• Different Types of Research Designs
• Exploratory Research Design
• Descriptive Research Design
• Experimental Research Design
• Types of Experimental Designs

4 Methods and Techniques of Data Collection

• Primary and Secondary Data
• Methods of Collecting Primary Data
• Merits and Demerits of Different Methods of Collecting Primary Data
• Designing a Questionnaire
• Pretesting a Questionnaire
• Editing of Primary Data
• Technique of Interview
• Collection of Secondary Data
• Scrutiny of Secondary Data

5 Attitude Measurement and Scales

• Attitudes, Attributes and Beliefs
• Issues in Attitude Measurement
• Scaling of Attitudes
• Deterministic Attitude Measurement Models: The Guttman Scale
• Thurstone’s Equal-Appearing Interval Scale
• The Semantic Differential Scale
• Summative Models: The Likert Scale
• The Q-Sort Technique
• Multidimensional Scaling
• Selection of an Appropriate Attitude Measurement Scale
• Limitations of Attitude Measurement Scales

6 Questionnaire Designing

• Introductory decisions
• Contents of the questionnaire
• Format of the questionnaire
• Steps involved in the questionnaire
• Structure and Design of Questionnaire
• Management of Fieldwork
• Ambiguities in the Questionnaire Methods

7 Sampling and Sampling Design

• Advantage of Sampling Over Census
• Simple Random Sampling
• Sampling Frame
• Probabilistic As pects of Sampling
• Stratified Random Sampling
• Other Methods of Sampling
• Sampling Design
• Non-Probability Sampling Methods

8 Data Processing

• Editing of Data
• Coding of Data
• Classification of Data
• Statistical Series
• Tables as Data Presentation Devices
• Graphical Presentation of Data

9 Statistical Analysis and Interpretation of Data: Nonparametric Tests

• One Sample Tests
• Two Sample Tests
• K Sample Tests

10 Multivariate Analysis of Data

• Regression Analysis
• Discriminant Analysis
• Factor Analysis

11 Ethics in Research

• Principles of research ethics
• Advantages of research ethics
• Limitations of the research ethics
• Steps involved in ethics
• What are research misconducts?

12 Substance of Reports

• Research Proposal
• Categories of Report
• Reviewing the Draft

13 Formats of Reports

• Parts of a Report
• Cover and Title Page
• Introductory Pages
• Reference Section
• Typing Instructions
• Copy Reading
• Proof Reading

14 Presentation of a Report

• Communication Dimensions
• Presentation Package
• Audio-Visual Aids
• Presenter’s Poise

Field Study vs. Survey

What's the difference.

Field study and survey are both research methods used to gather data and information. However, they differ in terms of their approach and execution. Field study involves observing and analyzing real-life situations in their natural setting. Researchers directly interact with the subjects or objects of study, collecting data through observations, interviews, and experiments. On the other hand, surveys involve collecting data through questionnaires or interviews, where respondents provide their opinions, attitudes, or experiences. Surveys are often conducted on a larger scale, reaching a larger sample size, while field studies tend to focus on a smaller, more specific group or location. Both methods have their advantages and limitations, and the choice between them depends on the research objectives and available resources.

Further Detail

Introduction.

Field study and survey are two commonly used research methods in various disciplines. Both methods aim to gather data and insights to answer research questions or explore specific phenomena. While they share the common goal of data collection, field study and survey differ in their approaches, data sources, and levels of control. In this article, we will delve into the attributes of field study and survey, highlighting their strengths and limitations.

Field Study

Field study is a research method that involves direct observation and data collection in a natural setting. It often requires researchers to immerse themselves in the environment being studied, allowing for a deep understanding of the context and the phenomena under investigation. Field study can be conducted in various settings, such as schools, workplaces, communities, or even natural habitats.

One of the key attributes of field study is its high ecological validity. By observing and interacting with participants in their natural environment, researchers can capture real-life behaviors, interactions, and experiences. This authenticity enhances the external validity of the findings, making them more applicable to real-world situations.

Furthermore, field study allows researchers to uncover unexpected or unanticipated phenomena. By immersing themselves in the setting, researchers can identify nuances and complexities that may not have been apparent through other research methods. This attribute makes field study particularly valuable in exploratory research or when studying complex social phenomena.

However, field study also has its limitations. One challenge is the potential lack of control over variables. Since the research is conducted in a natural setting, researchers have limited control over external factors that may influence the phenomena being studied. This lack of control can introduce confounding variables and make it difficult to establish causal relationships.

Another limitation of field study is the potential for researcher bias. Researchers' presence and involvement in the setting may influence participants' behavior or responses, leading to biased data. Additionally, the time and resources required for field study can be substantial, making it a more time-consuming and costly research method compared to surveys.

Surveys, on the other hand, are a research method that involves collecting data through structured questionnaires or interviews. Surveys are typically administered to a sample of participants, aiming to gather information about their attitudes, opinions, behaviors, or characteristics. Surveys can be conducted through various mediums, including online platforms, phone interviews, or paper-based questionnaires.

One of the key attributes of surveys is their ability to collect data from a large number of participants efficiently. Surveys allow researchers to reach a broader audience and gather a wide range of responses, providing a representative sample of the population under study. This attribute makes surveys particularly useful in studies that require generalizability or when studying large populations.

Moreover, surveys offer a high level of control over variables. Researchers can design the survey questions carefully, ensuring that all participants receive the same set of questions and response options. This control allows for standardized data collection, making it easier to compare and analyze responses across participants or groups.

Additionally, surveys are often less time-consuming and more cost-effective compared to field study. With advancements in technology, online surveys can be distributed quickly and completed at the participants' convenience. This attribute makes surveys a popular choice for researchers who need to collect data efficiently or have limited resources.

However, surveys also have limitations. One challenge is the potential for response bias. Participants may provide socially desirable responses or may not accurately recall or report their attitudes or behaviors. Researchers need to consider and address these biases through careful questionnaire design and data analysis techniques.

Another limitation of surveys is their potential lack of ecological validity. Since surveys are typically conducted outside of the natural setting, participants' responses may not fully reflect their real-life behaviors or experiences. This limitation can be mitigated by combining surveys with other research methods or by carefully designing questions that capture participants' actual behaviors or experiences.

In conclusion, field study and survey are two valuable research methods with distinct attributes. Field study offers high ecological validity and the ability to uncover unexpected phenomena, but it may lack control over variables and be prone to researcher bias. On the other hand, surveys provide efficient data collection from a large number of participants, high control over variables, and cost-effectiveness, but they may suffer from response bias and lack ecological validity. Researchers should carefully consider their research questions, resources, and desired outcomes when choosing between field study and survey, or even consider combining both methods to maximize the strengths and overcome the limitations of each.

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