types of research methods essay

15 Types of Research Methods

Chris Drew (PhD)

Dr. Chris Drew is the founder of the Helpful Professor. He holds a PhD in education and has published over 20 articles in scholarly journals. He is the former editor of the Journal of Learning Development in Higher Education. [Image Descriptor: Photo of Chris]

Learn about our Editorial Process

Research methods refer to the strategies, tools, and techniques used to gather and analyze data in a structured way in order to answer a research question or investigate a hypothesis (Hammond & Wellington, 2020).

Generally, we place research methods into two categories: quantitative and qualitative. Each has its own strengths and weaknesses, which we can summarize as:

• Quantitative research can achieve generalizability through scrupulous statistical analysis applied to large sample sizes.
• Qualitative research achieves deep, detailed, and nuance accounts of specific case studies, which are not generalizable.

Some researchers, with the aim of making the most of both quantitative and qualitative research, employ mixed methods, whereby they will apply both types of research methods in the one study, such as by conducting a statistical survey alongside in-depth interviews to add context to the quantitative findings.

Below, I’ll outline 15 common research methods, and include pros, cons, and examples of each .

Types of Research Methods

Research methods can be broadly categorized into two types: quantitative and qualitative.

• Quantitative methods involve systematic empirical investigation of observable phenomena via statistical, mathematical, or computational techniques, providing an in-depth understanding of a specific concept or phenomenon (Schweigert, 2021). The strengths of this approach include its ability to produce reliable results that can be generalized to a larger population, although it can lack depth and detail.
• Qualitative methods encompass techniques that are designed to provide a deep understanding of a complex issue, often in a specific context, through collection of non-numerical data (Tracy, 2019). This approach often provides rich, detailed insights but can be time-consuming and its findings may not be generalizable.

These can be further broken down into a range of specific research methods and designs:

Combining the two methods above, mixed methods research mixes elements of both qualitative and quantitative research methods, providing a comprehensive understanding of the research problem . We can further break these down into:

• Sequential Explanatory Design (QUAN→QUAL): This methodology involves conducting quantitative analysis first, then supplementing it with a qualitative study.
• Sequential Exploratory Design (QUAL→QUAN): This methodology goes in the other direction, starting with qualitative analysis and ending with quantitative analysis.

Let’s explore some methods and designs from both quantitative and qualitative traditions, starting with qualitative research methods.

Qualitative Research Methods

Qualitative research methods allow for the exploration of phenomena in their natural settings, providing detailed, descriptive responses and insights into individuals’ experiences and perceptions (Howitt, 2019).

These methods are useful when a detailed understanding of a phenomenon is sought.

1. Ethnographic Research

Ethnographic research emerged out of anthropological research, where anthropologists would enter into a setting for a sustained period of time, getting to know a cultural group and taking detailed observations.

Ethnographers would sometimes even act as participants in the group or culture, which many scholars argue is a weakness because it is a step away from achieving objectivity (Stokes & Wall, 2017).

In fact, at its most extreme version, ethnographers even conduct research on themselves, in a fascinating methodology call autoethnography .

The purpose is to understand the culture, social structure, and the behaviors of the group under study. It is often useful when researchers seek to understand shared cultural meanings and practices in their natural settings.

However, it can be time-consuming and may reflect researcher biases due to the immersion approach.

Example of Ethnography

Liquidated: An Ethnography of Wall Street  by Karen Ho involves an anthropologist who embeds herself with Wall Street firms to study the culture of Wall Street bankers and how this culture affects the broader economy and world.

2. Phenomenological Research

Phenomenological research is a qualitative method focused on the study of individual experiences from the participant’s perspective (Tracy, 2019).

It focuses specifically on people’s experiences in relation to a specific social phenomenon ( see here for examples of social phenomena ).

This method is valuable when the goal is to understand how individuals perceive, experience, and make meaning of particular phenomena. However, because it is subjective and dependent on participants’ self-reports, findings may not be generalizable, and are highly reliant on self-reported ‘thoughts and feelings’.

Example of Phenomenological Research

A phenomenological approach to experiences with technology  by Sebnem Cilesiz represents a good starting-point for formulating a phenomenological study. With its focus on the ‘essence of experience’, this piece presents methodological, reliability, validity, and data analysis techniques that phenomenologists use to explain how people experience technology in their everyday lives.

3. Historical Research

Historical research is a qualitative method involving the examination of past events to draw conclusions about the present or make predictions about the future (Stokes & Wall, 2017).

As you might expect, it’s common in the research branches of history departments in universities.

This approach is useful in studies that seek to understand the past to interpret present events or trends. However, it relies heavily on the availability and reliability of source materials, which may be limited.

Common data sources include cultural artifacts from both material and non-material culture , which are then examined, compared, contrasted, and contextualized to test hypotheses and generate theories.

Example of Historical Research

A historical research example might be a study examining the evolution of gender roles over the last century. This research might involve the analysis of historical newspapers, advertisements, letters, and company documents, as well as sociocultural contexts.

4. Content Analysis

Content analysis is a research method that involves systematic and objective coding and interpreting of text or media to identify patterns, themes, ideologies, or biases (Schweigert, 2021).

A content analysis is useful in analyzing communication patterns, helping to reveal how texts such as newspapers, movies, films, political speeches, and other types of ‘content’ contain narratives and biases.

However, interpretations can be very subjective, which often requires scholars to engage in practices such as cross-comparing their coding with peers or external researchers.

Content analysis can be further broken down in to other specific methodologies such as semiotic analysis, multimodal analysis , and discourse analysis .

Example of Content Analysis

How is Islam Portrayed in Western Media?  by Poorebrahim and Zarei (2013) employs a type of content analysis called critical discourse analysis (common in poststructuralist and critical theory research ). This study by Poorebrahum and Zarei combs through a corpus of western media texts to explore the language forms that are used in relation to Islam and Muslims, finding that they are overly stereotyped, which may represent anti-Islam bias or failure to understand the Islamic world.

5. Grounded Theory Research

Grounded theory involves developing a theory  during and after  data collection rather than beforehand.

This is in contrast to most academic research studies, which start with a hypothesis or theory and then testing of it through a study, where we might have a null hypothesis (disproving the theory) and an alternative hypothesis (supporting the theory).

Grounded Theory is useful because it keeps an open mind to what the data might reveal out of the research. It can be time-consuming and requires rigorous data analysis (Tracy, 2019).

Grounded Theory Example

Developing a Leadership Identity   by Komives et al (2005) employs a grounded theory approach to develop a thesis based on the data rather than testing a hypothesis. The researchers studied the leadership identity of 13 college students taking on leadership roles. Based on their interviews, the researchers theorized that the students’ leadership identities shifted from a hierarchical view of leadership to one that embraced leadership as a collaborative concept.

6. Action Research

Action research is an approach which aims to solve real-world problems and bring about change within a setting. The study is designed to solve a specific problem – or in other words, to take action (Patten, 2017).

This approach can involve mixed methods, but is generally qualitative because it usually involves the study of a specific case study wherein the researcher works, e.g. a teacher studying their own classroom practice to seek ways they can improve.

Action research is very common in fields like education and nursing where practitioners identify areas for improvement then implement a study in order to find paths forward.

Action Research Example

Using Digital Sandbox Gaming to Improve Creativity Within Boys’ Writing   by Ellison and Drew was a research study one of my research students completed in his own classroom under my supervision. He implemented a digital game-based approach to literacy teaching with boys and interviewed his students to see if the use of games as stimuli for storytelling helped draw them into the learning experience.

7. Natural Observational Research

Observational research can also be quantitative (see: experimental research), but in naturalistic settings for the social sciences, researchers tend to employ qualitative data collection methods like interviews and field notes to observe people in their day-to-day environments.

This approach involves the observation and detailed recording of behaviors in their natural settings (Howitt, 2019). It can provide rich, in-depth information, but the researcher’s presence might influence behavior.

While observational research has some overlaps with ethnography (especially in regard to data collection techniques), it tends not to be as sustained as ethnography, e.g. a researcher might do 5 observations, every second Monday, as opposed to being embedded in an environment.

Observational Research Example

A researcher might use qualitative observational research to study the behaviors and interactions of children at a playground. The researcher would document the behaviors observed, such as the types of games played, levels of cooperation , and instances of conflict.

8. Case Study Research

Case study research is a qualitative method that involves a deep and thorough investigation of a single individual, group, or event in order to explore facets of that phenomenon that cannot be captured using other methods (Stokes & Wall, 2017).

Case study research is especially valuable in providing contextualized insights into specific issues, facilitating the application of abstract theories to real-world situations (Patten, 2017).

However, findings from a case study may not be generalizable due to the specific context and the limited number of cases studied (Walliman, 2021).

See More: Case Study Advantages and Disadvantages

Example of a Case Study

Scholars conduct a detailed exploration of the implementation of a new teaching method within a classroom setting. The study focuses on how the teacher and students adapt to the new method, the challenges encountered, and the outcomes on student performance and engagement. While the study provides specific and detailed insights of the teaching method in that classroom, it cannot be generalized to other classrooms, as statistical significance has not been established through this qualitative approach.

Quantitative Research Methods

Quantitative research methods involve the systematic empirical investigation of observable phenomena via statistical, mathematical, or computational techniques (Pajo, 2022). The focus is on gathering numerical data and generalizing it across groups of people or to explain a particular phenomenon.

9. Experimental Research

Experimental research is a quantitative method where researchers manipulate one variable to determine its effect on another (Walliman, 2021).

This is common, for example, in high-school science labs, where students are asked to introduce a variable into a setting in order to examine its effect.

This type of research is useful in situations where researchers want to determine causal relationships between variables. However, experimental conditions may not reflect real-world conditions.

Example of Experimental Research

A researcher may conduct an experiment to determine the effects of a new educational approach on student learning outcomes. Students would be randomly assigned to either the control group (traditional teaching method) or the experimental group (new educational approach).

10. Surveys and Questionnaires

Surveys and questionnaires are quantitative methods that involve asking research participants structured and predefined questions to collect data about their attitudes, beliefs, behaviors, or characteristics (Patten, 2017).

Surveys are beneficial for collecting data from large samples, but they depend heavily on the honesty and accuracy of respondents.

They tend to be seen as more authoritative than their qualitative counterparts, semi-structured interviews, because the data is quantifiable (e.g. a questionnaire where information is presented on a scale from 1 to 10 can allow researchers to determine and compare statistical means, averages, and variations across sub-populations in the study).

Example of a Survey Study

A company might use a survey to gather data about employee job satisfaction across its offices worldwide. Employees would be asked to rate various aspects of their job satisfaction on a Likert scale. While this method provides a broad overview, it may lack the depth of understanding possible with other methods (Stokes & Wall, 2017).

11. Longitudinal Studies

Longitudinal studies involve repeated observations of the same variables over extended periods (Howitt, 2019). These studies are valuable for tracking development and change but can be costly and time-consuming.

With multiple data points collected over extended periods, it’s possible to examine continuous changes within things like population dynamics or consumer behavior. This makes a detailed analysis of change possible.

Perhaps the most relatable example of a longitudinal study is a national census, which is taken on the same day every few years, to gather comparative demographic data that can show how a nation is changing over time.

While longitudinal studies are commonly quantitative, there are also instances of qualitative ones as well, such as the famous 7 Up study from the UK, which studies 14 individuals every 7 years to explore their development over their lives.

Example of a Longitudinal Study

A national census, taken every few years, uses surveys to develop longitudinal data, which is then compared and analyzed to present accurate trends over time. Trends a census can reveal include changes in religiosity, values and attitudes on social issues, and much more.

12. Cross-Sectional Studies

Cross-sectional studies are a quantitative research method that involves analyzing data from a population at a specific point in time (Patten, 2017). They provide a snapshot of a situation but cannot determine causality.

This design is used to measure and compare the prevalence of certain characteristics or outcomes in different groups within the sampled population.

The major advantage of cross-sectional design is its ability to measure a wide range of variables simultaneously without needing to follow up with participants over time.

However, cross-sectional studies do have limitations . This design can only show if there are associations or correlations between different variables, but cannot prove cause and effect relationships, temporal sequence, changes, and trends over time.

Example of a Cross-Sectional Study

Our longitudinal study example of a national census also happens to contain cross-sectional design. One census is cross-sectional, displaying only data from one point in time. But when a census is taken once every few years, it becomes longitudinal, and so long as the data collection technique remains unchanged, identification of changes will be achievable, adding another time dimension on top of a basic cross-sectional study.

13. Correlational Research

Correlational research is a quantitative method that seeks to determine if and to what degree a relationship exists between two or more quantifiable variables (Schweigert, 2021).

This approach provides a fast and easy way to make initial hypotheses based on either positive or  negative correlation trends  that can be observed within dataset.

While correlational research can reveal relationships between variables, it cannot establish causality.

Methods used for data analysis may include statistical correlations such as Pearson’s or Spearman’s.

Example of Correlational Research

A team of researchers is interested in studying the relationship between the amount of time students spend studying and their academic performance. They gather data from a high school, measuring the number of hours each student studies per week and their grade point averages (GPAs) at the end of the semester. Upon analyzing the data, they find a positive correlation, suggesting that students who spend more time studying tend to have higher GPAs.

14. Quasi-Experimental Design Research

Quasi-experimental design research is a quantitative research method that is similar to experimental design but lacks the element of random assignment to treatment or control.

Instead, quasi-experimental designs typically rely on certain other methods to control for extraneous variables.

The term ‘quasi-experimental’ implies that the experiment resembles a true experiment, but it is not exactly the same because it doesn’t meet all the criteria for a ‘true’ experiment, specifically in terms of control and random assignment.

Quasi-experimental design is useful when researchers want to study a causal hypothesis or relationship, but practical or ethical considerations prevent them from manipulating variables and randomly assigning participants to conditions.

Example of Quasi-Experimental Design

A researcher wants to study the impact of a new math tutoring program on student performance. However, ethical and practical constraints prevent random assignment to the “tutoring” and “no tutoring” groups. Instead, the researcher compares students who chose to receive tutoring (experimental group) to similar students who did not choose to receive tutoring (control group), controlling for other variables like grade level and previous math performance.

Related: Examples and Types of Random Assignment in Research

15. Meta-Analysis Research

Meta-analysis statistically combines the results of multiple studies on a specific topic to yield a more precise estimate of the effect size. It’s the gold standard of secondary research .

Meta-analysis is particularly useful when there are numerous studies on a topic, and there is a need to integrate the findings to draw more reliable conclusions.

Some meta-analyses can identify flaws or gaps in a corpus of research, when can be highly influential in academic research, despite lack of primary data collection.

However, they tend only to be feasible when there is a sizable corpus of high-quality and reliable studies into a phenomenon.

Example of a Meta-Analysis

The power of feedback revisited (Wisniewski, Zierer & Hattie, 2020) is a meta-analysis that examines 435 empirical studies research on the effects of feedback on student learning. They use a random-effects model to ascertain whether there is a clear effect size across the literature. The authors find that feedback tends to impact cognitive and motor skill outcomes but has less of an effect on motivational and behavioral outcomes.

Choosing a research method requires a lot of consideration regarding what you want to achieve, your research paradigm, and the methodology that is most valuable for what you are studying. There are multiple types of research methods, many of which I haven’t been able to present here. Generally, it’s recommended that you work with an experienced researcher or research supervisor to identify a suitable research method for your study at hand.

Hammond, M., & Wellington, J. (2020). Research methods: The key concepts . New York: Routledge.

Howitt, D. (2019). Introduction to qualitative research methods in psychology . London: Pearson UK.

Pajo, B. (2022). Introduction to research methods: A hands-on approach . New York: Sage Publications.

Patten, M. L. (2017). Understanding research methods: An overview of the essentials . New York: Sage

Schweigert, W. A. (2021). Research methods in psychology: A handbook . Los Angeles: Waveland Press.

Stokes, P., & Wall, T. (2017). Research methods . New York: Bloomsbury Publishing.

Tracy, S. J. (2019). Qualitative research methods: Collecting evidence, crafting analysis, communicating impact . London: John Wiley & Sons.

Walliman, N. (2021). Research methods: The basics. London: Routledge.

• Chris Drew (PhD) https://helpfulprofessor.com/author/chris-drew-phd/ 101 Class Group Name Ideas (for School Students)
• Chris Drew (PhD) https://helpfulprofessor.com/author/chris-drew-phd/ 19 Top Cognitive Psychology Theories (Explained)
• Chris Drew (PhD) https://helpfulprofessor.com/author/chris-drew-phd/ 119 Bloom’s Taxonomy Examples
• Chris Drew (PhD) https://helpfulprofessor.com/author/chris-drew-phd/ All 6 Levels of Understanding (on Bloom’s Taxonomy)

Leave a Comment Cancel Reply

Your email address will not be published. Required fields are marked *

• Privacy Policy

Home » Research Methods – Types, Examples and Guide

Research Methods – Types, Examples and Guide

Table of Contents

Research Methods

Definition:

Research Methods refer to the techniques, procedures, and processes used by researchers to collect , analyze, and interpret data in order to answer research questions or test hypotheses. The methods used in research can vary depending on the research questions, the type of data that is being collected, and the research design.

Types of Research Methods

Types of Research Methods are as follows:

Qualitative research Method

Qualitative research methods are used to collect and analyze non-numerical data. This type of research is useful when the objective is to explore the meaning of phenomena, understand the experiences of individuals, or gain insights into complex social processes. Qualitative research methods include interviews, focus groups, ethnography, and content analysis.

Quantitative Research Method

Quantitative research methods are used to collect and analyze numerical data. This type of research is useful when the objective is to test a hypothesis, determine cause-and-effect relationships, and measure the prevalence of certain phenomena. Quantitative research methods include surveys, experiments, and secondary data analysis.

Mixed Method Research

Mixed Method Research refers to the combination of both qualitative and quantitative research methods in a single study. This approach aims to overcome the limitations of each individual method and to provide a more comprehensive understanding of the research topic. This approach allows researchers to gather both quantitative data, which is often used to test hypotheses and make generalizations about a population, and qualitative data, which provides a more in-depth understanding of the experiences and perspectives of individuals.

Key Differences Between Research Methods

The following Table shows the key differences between Quantitative, Qualitative and Mixed Research Methods

Examples of Research Methods

Examples of Research Methods are as follows:

Qualitative Research Example:

A researcher wants to study the experience of cancer patients during their treatment. They conduct in-depth interviews with patients to gather data on their emotional state, coping mechanisms, and support systems.

Quantitative Research Example:

A company wants to determine the effectiveness of a new advertisement campaign. They survey a large group of people, asking them to rate their awareness of the product and their likelihood of purchasing it.

Mixed Research Example:

A university wants to evaluate the effectiveness of a new teaching method in improving student performance. They collect both quantitative data (such as test scores) and qualitative data (such as feedback from students and teachers) to get a complete picture of the impact of the new method.

Applications of Research Methods

Research methods are used in various fields to investigate, analyze, and answer research questions. Here are some examples of how research methods are applied in different fields:

• Psychology : Research methods are widely used in psychology to study human behavior, emotions, and mental processes. For example, researchers may use experiments, surveys, and observational studies to understand how people behave in different situations, how they respond to different stimuli, and how their brains process information.
• Sociology : Sociologists use research methods to study social phenomena, such as social inequality, social change, and social relationships. Researchers may use surveys, interviews, and observational studies to collect data on social attitudes, beliefs, and behaviors.
• Medicine : Research methods are essential in medical research to study diseases, test new treatments, and evaluate their effectiveness. Researchers may use clinical trials, case studies, and laboratory experiments to collect data on the efficacy and safety of different medical treatments.
• Education : Research methods are used in education to understand how students learn, how teachers teach, and how educational policies affect student outcomes. Researchers may use surveys, experiments, and observational studies to collect data on student performance, teacher effectiveness, and educational programs.
• Business : Research methods are used in business to understand consumer behavior, market trends, and business strategies. Researchers may use surveys, focus groups, and observational studies to collect data on consumer preferences, market trends, and industry competition.
• Environmental science : Research methods are used in environmental science to study the natural world and its ecosystems. Researchers may use field studies, laboratory experiments, and observational studies to collect data on environmental factors, such as air and water quality, and the impact of human activities on the environment.
• Political science : Research methods are used in political science to study political systems, institutions, and behavior. Researchers may use surveys, experiments, and observational studies to collect data on political attitudes, voting behavior, and the impact of policies on society.

Purpose of Research Methods

Research methods serve several purposes, including:

• Identify research problems: Research methods are used to identify research problems or questions that need to be addressed through empirical investigation.
• Develop hypotheses: Research methods help researchers develop hypotheses, which are tentative explanations for the observed phenomenon or relationship.
• Collect data: Research methods enable researchers to collect data in a systematic and objective way, which is necessary to test hypotheses and draw meaningful conclusions.
• Analyze data: Research methods provide tools and techniques for analyzing data, such as statistical analysis, content analysis, and discourse analysis.
• Test hypotheses: Research methods allow researchers to test hypotheses by examining the relationships between variables in a systematic and controlled manner.
• Draw conclusions : Research methods facilitate the drawing of conclusions based on empirical evidence and help researchers make generalizations about a population based on their sample data.
• Enhance understanding: Research methods contribute to the development of knowledge and enhance our understanding of various phenomena and relationships, which can inform policy, practice, and theory.

When to Use Research Methods

Research methods are used when you need to gather information or data to answer a question or to gain insights into a particular phenomenon.

Here are some situations when research methods may be appropriate:

• To investigate a problem : Research methods can be used to investigate a problem or a research question in a particular field. This can help in identifying the root cause of the problem and developing solutions.
• To gather data: Research methods can be used to collect data on a particular subject. This can be done through surveys, interviews, observations, experiments, and more.
• To evaluate programs : Research methods can be used to evaluate the effectiveness of a program, intervention, or policy. This can help in determining whether the program is meeting its goals and objectives.
• To explore new areas : Research methods can be used to explore new areas of inquiry or to test new hypotheses. This can help in advancing knowledge in a particular field.
• To make informed decisions : Research methods can be used to gather information and data to support informed decision-making. This can be useful in various fields such as healthcare, business, and education.

Advantages of Research Methods

Research methods provide several advantages, including:

• Objectivity : Research methods enable researchers to gather data in a systematic and objective manner, minimizing personal biases and subjectivity. This leads to more reliable and valid results.
• Replicability : A key advantage of research methods is that they allow for replication of studies by other researchers. This helps to confirm the validity of the findings and ensures that the results are not specific to the particular research team.
• Generalizability : Research methods enable researchers to gather data from a representative sample of the population, allowing for generalizability of the findings to a larger population. This increases the external validity of the research.
• Precision : Research methods enable researchers to gather data using standardized procedures, ensuring that the data is accurate and precise. This allows researchers to make accurate predictions and draw meaningful conclusions.
• Efficiency : Research methods enable researchers to gather data efficiently, saving time and resources. This is especially important when studying large populations or complex phenomena.
• Innovation : Research methods enable researchers to develop new techniques and tools for data collection and analysis, leading to innovation and advancement in the field.

About the author

Muhammad Hassan

Researcher, Academic Writer, Web developer

You may also like

Research Design – Types, Methods and Examples

Ethnographic Research -Types, Methods and Guide

Research Gap – Types, Examples and How to...

Mixed Methods Research – Types & Analysis

What is a Hypothesis – Types, Examples and...

Research Recommendations – Examples and Writing...

Community Blog

Keep up-to-date on postgraduate related issues with our quick reads written by students, postdocs, professors and industry leaders.

Types of Research – Explained with Examples

• By DiscoverPhDs
• October 2, 2020

Types of Research

Research is about using established methods to investigate a problem or question in detail with the aim of generating new knowledge about it.

It is a vital tool for scientific advancement because it allows researchers to prove or refute hypotheses based on clearly defined parameters, environments and assumptions. Due to this, it enables us to confidently contribute to knowledge as it allows research to be verified and replicated.

Knowing the types of research and what each of them focuses on will allow you to better plan your project, utilises the most appropriate methodologies and techniques and better communicate your findings to other researchers and supervisors.

Classification of Types of Research

There are various types of research that are classified according to their objective, depth of study, analysed data, time required to study the phenomenon and other factors. It’s important to note that a research project will not be limited to one type of research, but will likely use several.

According to its Purpose

Theoretical research.

Theoretical research, also referred to as pure or basic research, focuses on generating knowledge , regardless of its practical application. Here, data collection is used to generate new general concepts for a better understanding of a particular field or to answer a theoretical research question.

Results of this kind are usually oriented towards the formulation of theories and are usually based on documentary analysis, the development of mathematical formulas and the reflection of high-level researchers.

Applied Research

Here, the goal is to find strategies that can be used to address a specific research problem. Applied research draws on theory to generate practical scientific knowledge, and its use is very common in STEM fields such as engineering, computer science and medicine.

This type of research is subdivided into two types:

• Technological applied research : looks towards improving efficiency in a particular productive sector through the improvement of processes or machinery related to said productive processes.
• Scientific applied research : has predictive purposes. Through this type of research design, we can measure certain variables to predict behaviours useful to the goods and services sector, such as consumption patterns and viability of commercial projects.

According to your Depth of Scope

Exploratory research.

Exploratory research is used for the preliminary investigation of a subject that is not yet well understood or sufficiently researched. It serves to establish a frame of reference and a hypothesis from which an in-depth study can be developed that will enable conclusive results to be generated.

Because exploratory research is based on the study of little-studied phenomena, it relies less on theory and more on the collection of data to identify patterns that explain these phenomena.

Descriptive Research

The primary objective of descriptive research is to define the characteristics of a particular phenomenon without necessarily investigating the causes that produce it.

In this type of research, the researcher must take particular care not to intervene in the observed object or phenomenon, as its behaviour may change if an external factor is involved.

Explanatory Research

Explanatory research is the most common type of research method and is responsible for establishing cause-and-effect relationships that allow generalisations to be extended to similar realities. It is closely related to descriptive research, although it provides additional information about the observed object and its interactions with the environment.

Correlational Research

The purpose of this type of scientific research is to identify the relationship between two or more variables. A correlational study aims to determine whether a variable changes, how much the other elements of the observed system change.

According to the Type of Data Used

Qualitative research.

Qualitative methods are often used in the social sciences to collect, compare and interpret information, has a linguistic-semiotic basis and is used in techniques such as discourse analysis, interviews, surveys, records and participant observations.

In order to use statistical methods to validate their results, the observations collected must be evaluated numerically. Qualitative research, however, tends to be subjective, since not all data can be fully controlled. Therefore, this type of research design is better suited to extracting meaning from an event or phenomenon (the ‘why’) than its cause (the ‘how’).

Quantitative Research

Quantitative research study delves into a phenomena through quantitative data collection and using mathematical, statistical and computer-aided tools to measure them . This allows generalised conclusions to be projected over time.

According to the Degree of Manipulation of Variables

Experimental research.

It is about designing or replicating a phenomenon whose variables are manipulated under strictly controlled conditions in order to identify or discover its effect on another independent variable or object. The phenomenon to be studied is measured through study and control groups, and according to the guidelines of the scientific method.

Non-Experimental Research

Also known as an observational study, it focuses on the analysis of a phenomenon in its natural context. As such, the researcher does not intervene directly, but limits their involvement to measuring the variables required for the study. Due to its observational nature, it is often used in descriptive research.

Quasi-Experimental Research

It controls only some variables of the phenomenon under investigation and is therefore not entirely experimental. In this case, the study and the focus group cannot be randomly selected, but are chosen from existing groups or populations . This is to ensure the collected data is relevant and that the knowledge, perspectives and opinions of the population can be incorporated into the study.

According to the Type of Inference

Deductive investigation.

In this type of research, reality is explained by general laws that point to certain conclusions; conclusions are expected to be part of the premise of the research problem and considered correct if the premise is valid and the inductive method is applied correctly.

Inductive Research

In this type of research, knowledge is generated from an observation to achieve a generalisation. It is based on the collection of specific data to develop new theories.

Hypothetical-Deductive Investigation

It is based on observing reality to make a hypothesis, then use deduction to obtain a conclusion and finally verify or reject it through experience.

According to the Time in Which it is Carried Out

Longitudinal study (also referred to as diachronic research).

It is the monitoring of the same event, individual or group over a defined period of time. It aims to track changes in a number of variables and see how they evolve over time. It is often used in medical, psychological and social areas .

Cross-Sectional Study (also referred to as Synchronous Research)

Cross-sectional research design is used to observe phenomena, an individual or a group of research subjects at a given time.

According to The Sources of Information

Primary research.

This fundamental research type is defined by the fact that the data is collected directly from the source, that is, it consists of primary, first-hand information.

Secondary research

Unlike primary research, secondary research is developed with information from secondary sources, which are generally based on scientific literature and other documents compiled by another researcher.

According to How the Data is Obtained

Documentary (cabinet).

Documentary research, or secondary sources, is based on a systematic review of existing sources of information on a particular subject. This type of scientific research is commonly used when undertaking literature reviews or producing a case study.

Field research study involves the direct collection of information at the location where the observed phenomenon occurs.

From Laboratory

Laboratory research is carried out in a controlled environment in order to isolate a dependent variable and establish its relationship with other variables through scientific methods.

Mixed-Method: Documentary, Field and/or Laboratory

Mixed research methodologies combine results from both secondary (documentary) sources and primary sources through field or laboratory research.

There’s no doubt about it – writing can be difficult. Whether you’re writing the first sentence of a paper or a grant proposal, it’s easy

Need to write a list of abbreviations for a thesis or dissertation? Read our post to find out where they go, what to include and how to format them.

This post gives you the best questions to ask at a PhD interview, to help you work out if your potential supervisor and lab is a good fit for you.

Join thousands of other students and stay up to date with the latest PhD programmes, funding opportunities and advice.

Browse PhDs Now

The title page of your dissertation or thesis conveys all the essential details about your project. This guide helps you format it in the correct way.

Thinking about applying to a PhD? Then don’t miss out on these 4 tips on how to best prepare your application.

Rakhi is a PhD student at the Institute of Chemical Technology, Mumbai, India. Her research is on the production of Borneol and Menthol and development of separation process from the reaction mixture.

Dr Norman gained his PhD in Biochemistry and Molecular Biology from the University of East Anglia in 2018. He is now the Public Engagement Officer at the Babraham Institute.

Join Thousands of Students

Still have questions? Leave a comment

Add Comment

Checklist: Dissertation Proposal

Enter your email id to get the downloadable right in your inbox!

Examples: Edited Papers

Need editing and proofreading services, research methodology guide: writing tips, types, & examples.

• Tags: Academic Research , Research

No dissertation or research paper is complete without the research methodology section. Since this is the chapter where you explain how you carried out your research, this is where all the meat is! Here’s where you clearly lay out the steps you have taken to test your hypothesis or research problem.

Through this blog, we’ll unravel the complexities and meaning of research methodology in academic writing , from its fundamental principles and ethics to the diverse types of research methodology in use today. Alongside offering research methodology examples, we aim to guide you on how to write research methodology, ensuring your research endeavors are both impactful and impeccably grounded!

Ensure your research methodology is foolproof. Learn more

Let’s first take a closer look at a simple research methodology definition:

Defining what is research methodology

Research methodology is the set of procedures and techniques used to collect, analyze, and interpret data to understand and solve a research problem. Methodology in research not only includes the design and methods but also the basic principles that guide the choice of specific methods.

Grasping the concept of methodology in research is essential for students and scholars, as it demonstrates the thorough and structured method used to explore a hypothesis or research question. Understanding the definition of methodology in research aids in identifying the methods used to collect data. Be it through any type of research method approach, ensuring adherence to the proper research paper format is crucial.

Now let’s explore some research methodology types:

Types of research methodology

1. qualitative research methodology.

Qualitative research methodology is aimed at understanding concepts, thoughts, or experiences. This approach is descriptive and is often utilized to gather in-depth insights into people’s attitudes, behaviors, or cultures. Qualitative research methodology involves methods like interviews, focus groups, and observation. The strength of this methodology lies in its ability to provide contextual richness.

2. Quantitative research methodology

Quantitative research methodology, on the other hand, is focused on quantifying the problem by generating numerical data or data that can be transformed into usable statistics. It uses measurable data to formulate facts and uncover patterns in research. Quantitative research methodology typically involves surveys, experiments, or statistical analysis. This methodology is appreciated for its ability to produce objective results that are generalizable to a larger population.

3. Mixed-Methods research methodology

Mixed-methods research combines both qualitative and quantitative research methodologies to provide a more comprehensive understanding of the research problem. This approach leverages the strengths of both methodologies to provide a deeper insight into the research question of a research paper .

Research methodology vs. research methods

The research methodology or design is the overall strategy and rationale that you used to carry out the research. Whereas, research methods are the specific tools and processes you use to gather and understand the data you need to test your hypothesis.

Research methodology examples and application

To further understand research methodology, let’s explore some examples of research methodology:

a. Qualitative research methodology example: A study exploring the impact of author branding on author popularity might utilize in-depth interviews to gather personal experiences and perspectives.

b. Quantitative research methodology example: A research project investigating the effects of a book promotion technique on book sales could employ a statistical analysis of profit margins and sales before and after the implementation of the method.

c. Mixed-Methods research methodology example: A study examining the relationship between social media use and academic performance might combine both qualitative and quantitative approaches. It could include surveys to quantitatively assess the frequency of social media usage and its correlation with grades, alongside focus groups or interviews to qualitatively explore students’ perceptions and experiences regarding how social media affects their study habits and academic engagement.

These examples highlight the meaning of methodology in research and how it guides the research process, from data collection to analysis, ensuring the study’s objectives are met efficiently.

Importance of methodology in research papers

When it comes to writing your study, the methodology in research papers or a dissertation plays a pivotal role. A well-crafted methodology section of a research paper or thesis not only enhances the credibility of your research but also provides a roadmap for others to replicate or build upon your work.

How to structure the research methods chapter

Wondering how to write the research methodology section? Follow these steps to create a strong methods chapter:

Step 1: Explain your research methodology

At the start of a research paper , you would have provided the background of your research and stated your hypothesis or research problem. In this section, you will elaborate on your research strategy. 

Begin by restating your research question and proceed to explain what type of research you opted for to test it. Depending on your research, here are some questions you can consider: 

a. Did you use qualitative or quantitative data to test the hypothesis? 

b. Did you perform an experiment where you collected data or are you writing a dissertation that is descriptive/theoretical without data collection? 

c. Did you use primary data that you collected or analyze secondary research data or existing data as part of your study? 

These questions will help you establish the rationale for your study on a broader level, which you will follow by elaborating on the specific methods you used to collect and understand your data. 

Step 2: Explain the methods you used to test your hypothesis 

Now that you have told your reader what type of research you’ve undertaken for the dissertation, it’s time to dig into specifics. State what specific methods you used and explain the conditions and variables involved. Explain what the theoretical framework behind the method was, what samples you used for testing it, and what tools and materials you used to collect the data. 

Step 3: Explain how you analyzed the results

Once you have explained the data collection process, explain how you analyzed and studied the data. Here, your focus is simply to explain the methods of analysis rather than the results of the study. 

Here are some questions you can answer at this stage: 

a. What tools or software did you use to analyze your results? 

b. What parameters or variables did you consider while understanding and studying the data you’ve collected? 

c. Was your analysis based on a theoretical framework? 

Your mode of analysis will change depending on whether you used a quantitative or qualitative research methodology in your study. If you’re working within the hard sciences or physical sciences, you are likely to use a quantitative research methodology (relying on numbers and hard data). If you’re doing a qualitative study, in the social sciences or humanities, your analysis may rely on understanding language and socio-political contexts around your topic. This is why it’s important to establish what kind of study you’re undertaking at the onset. 

Step 4: Defend your choice of methodology 

Now that you have gone through your research process in detail, you’ll also have to make a case for it. Justify your choice of methodology and methods, explaining why it is the best choice for your research question. This is especially important if you have chosen an unconventional approach or you’ve simply chosen to study an existing research problem from a different perspective. Compare it with other methodologies, especially ones attempted by previous researchers, and discuss what contributions using your methodology makes.  

Step 5: Discuss the obstacles you encountered and how you overcame them

No matter how thorough a methodology is, it doesn’t come without its hurdles. This is a natural part of scientific research that is important to document so that your peers and future researchers are aware of it. Writing in a research paper about this aspect of your research process also tells your evaluator that you have actively worked to overcome the pitfalls that came your way and you have refined the research process. 

Tips to write an effective methodology chapter

1. Remember who you are writing for. Keeping sight of the reader/evaluator will help you know what to elaborate on and what information they are already likely to have. You’re condensing months’ work of research in just a few pages, so you should omit basic definitions and information about general phenomena people already know.

2. Do not give an overly elaborate explanation of every single condition in your study. 

3. Skip details and findings irrelevant to the results.

4. Cite references that back your claim and choice of methodology. 

5. Consistently emphasize the relationship between your research question and the methodology you adopted to study it. 

To sum it up, what is methodology in research? It’s the blueprint of your research, essential for ensuring that your study is systematic, rigorous, and credible. Whether your focus is on qualitative research methodology, quantitative research methodology, or a combination of both, understanding and clearly defining your methodology is key to the success of your research.

Once you write the research methodology and complete writing the entire research paper, the next step is to edit your paper. As experts in research paper editing and proofreading services , we’d love to help you perfect your paper!

Here are some other articles that you might find useful: 

• Essential Research Tips for Essay Writing
• How to Write a Lab Report: Examples from Academic Editors
• The Essential Types of Editing Every Writer Needs to Know
• Editing and Proofreading Academic Papers: A Short Guide
• The Top 10 Editing and Proofreading Services of 2023

Frequently Asked Questions

What does research methodology mean, what types of research methodologies are there, what is qualitative research methodology, how to determine sample size in research methodology, what is action research methodology.

Found this article helpful?

One comment on “ Research Methodology Guide: Writing Tips, Types, & Examples ”

This is very simplified and direct. Very helpful to understand the research methodology section of a dissertation

Leave a Comment: Cancel reply

Your email address will not be published.

Your vs. You’re: When to Use Your and You’re

Your organization needs a technical editor: here’s why, your guide to the best ebook readers in 2024, writing for the web: 7 expert tips for web content writing.

Subscribe to our Newsletter

Get carefully curated resources about writing, editing, and publishing in the comfort of your inbox.

How to Copyright Your Book?

If you’ve thought about copyrighting your book, you’re on the right path.

© 2024 All rights reserved

• Terms of service
• Privacy policy
• Self Publishing Guide
• Pre-Publishing Steps
• Fiction Writing Tips
• Traditional Publishing
• Additional Resources
• Dissertation Writing Guide
• Essay Writing Guide
• Academic Writing and Publishing
• Citation and Referencing
• Partner with us
• Annual report
• Website content
• Marketing material
• Job Applicant
• Cover letter
• Resource Center
• Case studies

Have a language expert improve your writing

Run a free plagiarism check in 10 minutes, automatically generate references for free.

• Knowledge Base
• Methodology

Research Methods | Definition, Types, Examples

Research methods are specific procedures for collecting and analysing data. Developing your research methods is an integral part of your research design . When planning your methods, there are two key decisions you will make.

First, decide how you will collect data . Your methods depend on what type of data you need to answer your research question :

• Qualitative vs quantitative : Will your data take the form of words or numbers?
• Primary vs secondary : Will you collect original data yourself, or will you use data that have already been collected by someone else?
• Descriptive vs experimental : Will you take measurements of something as it is, or will you perform an experiment?

Second, decide how you will analyse the data .

• For quantitative data, you can use statistical analysis methods to test relationships between variables.
• For qualitative data, you can use methods such as thematic analysis to interpret patterns and meanings in the data.

Table of contents

Methods for collecting data, examples of data collection methods, methods for analysing data, examples of data analysis methods, frequently asked questions about methodology.

Data are the information that you collect for the purposes of answering your research question . The type of data you need depends on the aims of your research.

Qualitative vs quantitative data

Your choice of qualitative or quantitative data collection depends on the type of knowledge you want to develop.

For questions about ideas, experiences and meanings, or to study something that can’t be described numerically, collect qualitative data .

If you want to develop a more mechanistic understanding of a topic, or your research involves hypothesis testing , collect quantitative data .

You can also take a mixed methods approach, where you use both qualitative and quantitative research methods.

Primary vs secondary data

Primary data are any original information that you collect for the purposes of answering your research question (e.g. through surveys , observations and experiments ). Secondary data are information that has already been collected by other researchers (e.g. in a government census or previous scientific studies).

If you are exploring a novel research question, you’ll probably need to collect primary data. But if you want to synthesise existing knowledge, analyse historical trends, or identify patterns on a large scale, secondary data might be a better choice.

Descriptive vs experimental data

In descriptive research , you collect data about your study subject without intervening. The validity of your research will depend on your sampling method .

In experimental research , you systematically intervene in a process and measure the outcome. The validity of your research will depend on your experimental design .

To conduct an experiment, you need to be able to vary your independent variable , precisely measure your dependent variable, and control for confounding variables . If it’s practically and ethically possible, this method is the best choice for answering questions about cause and effect.

Prevent plagiarism, run a free check.

Your data analysis methods will depend on the type of data you collect and how you prepare them for analysis.

Data can often be analysed both quantitatively and qualitatively. For example, survey responses could be analysed qualitatively by studying the meanings of responses or quantitatively by studying the frequencies of responses.

Qualitative analysis methods

Qualitative analysis is used to understand words, ideas, and experiences. You can use it to interpret data that were collected:

• From open-ended survey and interview questions, literature reviews, case studies, and other sources that use text rather than numbers.
• Using non-probability sampling methods .

Qualitative analysis tends to be quite flexible and relies on the researcher’s judgement, so you have to reflect carefully on your choices and assumptions.

Quantitative analysis methods

Quantitative analysis uses numbers and statistics to understand frequencies, averages and correlations (in descriptive studies) or cause-and-effect relationships (in experiments).

You can use quantitative analysis to interpret data that were collected either:

• During an experiment.
• Using probability sampling methods .

Because the data are collected and analysed in a statistically valid way, the results of quantitative analysis can be easily standardised and shared among researchers.

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

Quantitative methods allow you to test a hypothesis by systematically collecting and analysing data, while qualitative methods allow you to explore ideas and experiences in depth.

In mixed methods research , you use both qualitative and quantitative data collection and analysis methods to answer your research question .

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.

Statistical sampling allows you to test a hypothesis about the characteristics of a population. There are various sampling methods you can use to ensure that your sample is representative of the population as a whole.

The research methods you use depend on the type of data you need to answer your research question .

• If you want to measure something or test a hypothesis , use quantitative methods . If you want to explore ideas, thoughts, and meanings, use qualitative methods .
• If you want to analyse a large amount of readily available data, use secondary data. If you want data specific to your purposes with control over how they are generated, collect primary data.
• If you want to establish cause-and-effect relationships between variables , use experimental methods. If you want to understand the characteristics of a research subject, use descriptive methods.

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 analyse data (e.g. 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.

Is this article helpful?

More interesting articles.

• A Quick Guide to Experimental Design | 5 Steps & Examples
• Between-Subjects Design | Examples, Pros & Cons
• Case Study | Definition, Examples & Methods
• Cluster Sampling | A Simple Step-by-Step Guide with Examples
• Confounding Variables | Definition, Examples & Controls
• Construct Validity | Definition, Types, & Examples
• Content Analysis | A Step-by-Step Guide with Examples
• Control Groups and Treatment Groups | Uses & Examples
• Controlled Experiments | Methods & Examples of Control
• Correlation vs Causation | Differences, Designs & Examples
• Correlational Research | Guide, Design & Examples
• Critical Discourse Analysis | Definition, Guide & Examples
• Cross-Sectional Study | Definitions, Uses & Examples
• Data Cleaning | A Guide with Examples & Steps
• Data Collection Methods | Step-by-Step Guide & Examples
• Descriptive Research Design | Definition, Methods & Examples
• Doing Survey Research | A Step-by-Step Guide & Examples
• Ethical Considerations in Research | Types & Examples
• Explanatory Research | Definition, Guide, & Examples
• Explanatory vs Response Variables | Definitions & Examples
• Exploratory Research | Definition, Guide, & Examples
• External Validity | Types, Threats & Examples
• Extraneous Variables | Examples, Types, Controls
• Face Validity | Guide with Definition & Examples
• How to Do Thematic Analysis | Guide & Examples
• How to Write a Strong Hypothesis | Guide & Examples
• Inclusion and Exclusion Criteria | Examples & Definition
• Independent vs Dependent Variables | Definition & Examples
• Inductive Reasoning | Types, Examples, Explanation
• Inductive vs Deductive Research Approach (with Examples)
• Internal Validity | Definition, Threats & Examples
• Internal vs External Validity | Understanding Differences & Examples
• Longitudinal Study | Definition, Approaches & Examples
• Mediator vs Moderator Variables | Differences & Examples
• Mixed Methods Research | Definition, Guide, & Examples
• Multistage Sampling | An Introductory Guide with Examples
• Naturalistic Observation | Definition, Guide & Examples
• Operationalisation | A Guide with Examples, Pros & Cons
• Population vs Sample | Definitions, Differences & Examples
• Primary Research | Definition, Types, & Examples
• Qualitative vs Quantitative Research | Examples & Methods
• Quasi-Experimental Design | Definition, Types & Examples
• Questionnaire Design | Methods, Question Types & Examples
• Random Assignment in Experiments | Introduction & Examples
• Reliability vs Validity in Research | Differences, Types & Examples
• Reproducibility vs Replicability | Difference & Examples
• Research Design | Step-by-Step Guide with Examples
• Sampling Methods | Types, Techniques, & Examples
• Semi-Structured Interview | Definition, Guide & Examples
• Simple Random Sampling | Definition, Steps & Examples
• Stratified Sampling | A Step-by-Step Guide with Examples
• Structured Interview | Definition, Guide & Examples
• Systematic Review | Definition, Examples & Guide
• Systematic Sampling | A Step-by-Step Guide with Examples
• Textual Analysis | Guide, 3 Approaches & Examples
• The 4 Types of Reliability in Research | Definitions & Examples
• The 4 Types of Validity | Types, Definitions & Examples
• Transcribing an Interview | 5 Steps & Transcription Software
• Triangulation in Research | Guide, Types, Examples
• Types of Interviews in Research | Guide & Examples
• Types of Research Designs Compared | Examples
• Types of Variables in Research | Definitions & Examples
• Unstructured Interview | Definition, Guide & Examples
• What Are Control Variables | Definition & Examples
• What Is a Case-Control Study? | Definition & Examples
• What Is a Cohort Study? | Definition & Examples
• What Is a Conceptual Framework? | Tips & Examples
• What Is a Double-Barrelled Question?
• What Is a Double-Blind Study? | Introduction & Examples
• What Is a Focus Group? | Step-by-Step Guide & Examples
• What Is a Likert Scale? | Guide & Examples
• What is a Literature Review? | Guide, Template, & Examples
• What Is a Prospective Cohort Study? | Definition & Examples
• What Is a Retrospective Cohort Study? | Definition & Examples
• What Is Action Research? | Definition & Examples
• What Is an Observational Study? | Guide & Examples
• What Is Concurrent Validity? | Definition & Examples
• What Is Content Validity? | Definition & Examples
• What Is Convenience Sampling? | Definition & Examples
• What Is Convergent Validity? | Definition & Examples
• What Is Criterion Validity? | Definition & Examples
• What Is Deductive Reasoning? | Explanation & Examples
• What Is Discriminant Validity? | Definition & Example
• What Is Ecological Validity? | Definition & Examples
• What Is Ethnography? | Meaning, Guide & Examples
• What Is Non-Probability Sampling? | Types & Examples
• What Is Participant Observation? | Definition & Examples
• What Is Peer Review? | Types & Examples
• What Is Predictive Validity? | Examples & Definition
• What Is Probability Sampling? | Types & Examples
• What Is Purposive Sampling? | Definition & Examples
• What Is Qualitative Observation? | Definition & Examples
• What Is Qualitative Research? | Methods & Examples
• What Is Quantitative Observation? | Definition & Examples
• What Is Quantitative Research? | Definition & Methods
• What Is Quota Sampling? | Definition & Examples
• What is Secondary Research? | Definition, Types, & Examples
• What Is Snowball Sampling? | Definition & Examples
• Within-Subjects Design | Explanation, Approaches, Examples

Get science-backed answers as you write with Paperpal's Research feature

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.

Why is research methodology important?

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.

Writing the methods section of a research paper? Let Paperpal help you achieve perfection

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.

Let Paperpal help you write the perfect research methods section. Start now!

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.

Got writer’s block? Kickstart your research paper writing with Paperpal now!

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.

Streamline Your Research Paper Writing Process with Paperpal

The methods section is a critical part of the research papers, allowing researchers to use this to understand your findings and replicate your work when pursuing their own research. However, it is usually also the most difficult section to write. This is where Paperpal can help you overcome the writer’s block and create the first draft in minutes with Paperpal Copilot, its secure generative AI feature suite.  

With Paperpal you can get research advice, write and refine your work, rephrase and verify the writing, and ensure submission readiness, all in one place. Here’s how you can use Paperpal to develop the first draft of your methods section.  

• Generate an outline: Input some details about your research to instantly generate an outline for your methods section 
• Develop the section: Use the outline and suggested sentence templates to expand your ideas and develop the first draft.  
• P araph ras e and trim : Get clear, concise academic text with paraphrasing that conveys your work effectively and word reduction to fix redundancies. 
• Choose the right words: Enhance text by choosing contextual synonyms based on how the words have been used in previously published work.  
• Check and verify text : Make sure the generated text showcases your methods correctly, has all the right citations, and is original and authentic. .   

You can repeat this process to develop each section of your research manuscript, including the title, abstract and keywords. Ready to write your research papers faster, better, and without the stress? Sign up for Paperpal and start writing today!

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.

Accelerate your research paper writing with Paperpal. Try for free now!

• 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/

Paperpal is a comprehensive AI writing toolkit that helps students and researchers achieve 2x the writing in half the time. It leverages 21+ years of STM experience and insights from millions of research articles to provide in-depth academic writing, language editing, and submission readiness support to help you write better, faster.  

Get accurate academic translations, rewriting support, grammar checks, vocabulary suggestions, and generative AI assistance that delivers human precision at machine speed. Try for free or upgrade to Paperpal Prime starting at US$19 a month to access premium features, including consistency, plagiarism, and 30+ submission readiness checks to help you succeed.  

Experience the future of academic writing – Sign up to Paperpal and start writing for free!  

Related Reads:

• Dangling Modifiers and How to Avoid Them in Your Writing 
• Webinar: How to Use Generative AI Tools Ethically in Your Academic Writing
• Research Outlines: How to Write An Introduction Section in Minutes with Paperpal Copilot
• How to Paraphrase Research Papers Effectively

Language and Grammar Rules for Academic Writing

Climatic vs. climactic: difference and examples, you may also like, how to structure an essay, leveraging generative ai to enhance student understanding of..., how to write a good hook for essays,..., addressing peer review feedback and mastering manuscript revisions..., how paperpal can boost comprehension and foster interdisciplinary..., what is the importance of a concept paper..., how to write the first draft of a..., mla works cited page: format, template & examples, how to ace grant writing for research funding..., powerful academic phrases to improve your essay writing .

Home » Types of Research Methods

Types of Research Methods

When we talk about Types of Research Methods , we’re diving into the different ways researchers investigate and find answers to their questions. Think of research methods as tools in a toolbox, with each tool designed for a specific task.

Table of Contents

1. Qualitative Research

Imagine you’re an explorer trying to understand the culture of a remote village. You wouldn’t just count things, like how many houses there are; instead, you’d want to know the stories, beliefs, and feelings of the people living there. That’s what Qualitative Research is like. It’s all about diving deep into experiences, emotions, and narratives to understand the ‘why’ and ‘how’ of human behavior. Researchers might conduct interviews, observe behaviors, or analyze texts and artworks to gather rich, detailed insights.

2. Quantitative Research

Now, imagine you’re a scientist wanting to know if a new medicine works better than an old one. You’d probably give some people the new medicine and others the old one, then count how many in each group get better. This is Quantitative Research . It deals with numbers and statistics to answer questions like ‘how many’ or ‘how much’. By collecting numerical data and analyzing it, researchers can identify patterns and relationships, often leading to generalizable findings.

3. Mixed Methods

Sometimes, just counting things or just listening to stories isn’t enough. You might need both to get the full picture. That’s where Mixed Methods come in. It’s like using both a magnifying glass and a telescope; you get to see the intricate details up close and the big picture from afar. Researchers use a combination of qualitative and quantitative methods to benefit from the strengths of both, providing a more comprehensive understanding of the research problem.

4. Descriptive Research

Let’s say you’re curious about the daily routines of high school students. In Descriptive Research , you’d observe and describe what you see without trying to change anything. This method involves detailed observations to accurately depict situations or phenomena. It’s like painting a detailed landscape where every element is noted, but you’re not trying to interpret the scene or change the landscape.

5. Experimental Research

Imagine you’re curious about whether listening to classical music while studying improves test scores. In Experimental Research , you’d create a controlled environment, divide your subjects into groups, and introduce a variable (like classical music) to one group but not the other. Then, you’d compare the outcomes. This method allows researchers to determine cause-and-effect relationships by manipulating variables and controlling for outside influences.

6. Correlational Research

Suppose you wonder if there’s a relationship between the time students spend on social media and their grades. In Correlational Research , you’d collect data on both aspects and analyze it to see if there’s a link. However, it’s crucial to remember that correlation doesn’t imply causation; just because two things are related doesn’t mean one causes the other.

7. Action Research

Imagine you’re a teacher who wants to improve student engagement in your classroom. Action Research involves identifying a problem, implementing a strategy to address it, observing the results, and adjusting your approach based on the findings. It’s a cyclical process that combines research with action, often used in education, healthcare, and organizational development to bring about change.

8. Longitudinal and Cross-Sectional Research

Think of Longitudinal Research like taking a series of photographs of the same group of people every year to see how they change over time. It’s about observing the same subjects repeatedly over an extended period. On the other hand, Cross-Sectional Research is like taking a single snapshot of a diverse group at one moment in time to understand the current state of affairs. Each method has its strengths and is chosen based on the research question and available resources.

In summary, research methods are diverse, each suited to answering different types of questions. By selecting the appropriate method, researchers can gather the insights needed to advance our understanding of the world. Whether we’re exploring human behavior, testing new theories, or seeking to improve practices in various fields, these methods provide the foundation for building reliable and valuable knowledge.

You may also like

Types of Mixed Research Methods

What is Mixed Research Methods

Types of Quantitative Research Methods

Quantitative Research Methods

Types of Qualitative Research Methods

• Affiliate Program

• UNITED STATES
• 台灣 (TAIWAN)
• TÜRKIYE (TURKEY)
• Academic Editing Services
• - Research Paper
• - Journal Manuscript
• - Dissertation
• - College & University Assignments
• Admissions Editing Services
• - Application Essay
• - Personal Statement
• - Recommendation Letter
• - Cover Letter
• - CV/Resume
• Business Editing Services
• - Business Documents
• - Report & Brochure
• - Website & Blog
• Writer Editing Services
• - Script & Screenplay
• Our Editors
• Client Reviews
• Editing & Proofreading Prices
• Wordvice Points
• Partner Discount
• Plagiarism Checker
• APA Citation Generator
• MLA Citation Generator
• Chicago Citation Generator
• Vancouver Citation Generator
• - APA Style
• - MLA Style
• - Chicago Style
• - Vancouver Style
• Writing & Editing Guide
• Academic Resources
• Admissions Resources

Types of Research Methods: Examples and Tips

What are research methods?

Research methods are the techniques and procedures used to collect and analyze data in order to answer research questions and test a research hypothesis . There are several different types of research methods, each with its own strengths and weaknesses. 

Common Types of Research Methods

There are several main types of research methods that are employed in academic articles. The type of research method applied depends on the nature of the data to be collected and analyzed, as well as any restrictions or limitations that dictate the study’s resources and methodology. Surveying articles from your target journal and identifying the methods commonly used in these studies is also recommended before choosing a research method or methods.

It’s important to note that research methods can be combined for a more complete understanding of a research question or hypothesis. For example, an experiment can be followed by a survey to gather more information about participants’ attitudes and behaviors.

Overall, the choice of research method depends on the research question, the type of data needed, and the resources available to the researcher.

Data Collection Methods

Data is information collected in order to answer research questions . The kind of data you choose to collect will depend on the nature of your research question and the aims of your study. There are a few main category distinctions of data a researcher can collect.

Quantitative vs qualitative data

Qualitative and quantitative data are two types of data that are often used in research studies. They are different in terms of their characteristics, how they are collected, and how they are analyzed.

Quantitative data is numerical and is collected through methods such as surveys, polls, and experiments. It is often used to measure and describe the characteristics of a large group of people or objects. This data can be analyzed using statistical methods to find patterns and trends.

Qualitative data, on the other hand, is non-numerical and is collected through methods such as interviews, observations, and focus groups. It is often used to understand the experiences, attitudes, and perceptions of individuals or small groups. This data is analyzed using methods such as content analysis, thematic analysis, and discourse analysis to identify patterns and themes.

Overall, quantitative data provides a more objective and generalizable understanding of a phenomenon, while qualitative data provides a more subjective and in-depth understanding. Both types of data are important and can be used together to gain a more comprehensive understanding of a topic.

You can also make use of both qualitative and quantitative research methods in your study.

Primary vs secondary data

Primary and secondary research are two different types of research methods that are used in the field of academia and market research. Both primary and secondary sources can be applied in most studies.

Primary research is research that is conducted by the individual or organization themselves. It involves collecting original data through methods such as surveys, interviews, or experiments. The data collected through primary research is specific to the research question and objectives, and is not typically available through other sources.

Secondary research, on the other hand, involves the use of existing data that has already been collected by someone else. This can include data from government reports, academic journals, or industry publications. The advantage of secondary research is that it is typically less time-consuming and less expensive than primary research, as the data has already been collected. However, the data may not be as specific or relevant to the research question and objectives.

The choice between using primary and secondary research will depend on the research question, study budget, and time constraints of the project, as well as the target journal to which you are submitting your manuscript.

Experimental vs descriptive data collection

Experimental data is collected through a controlled experiment, in which the researcher manipulates one or more variables to observe the effect on another variable. The goal of experimental data is to determine cause-and-effect relationships. For example, in a study on the effectiveness of a new drug for treating a certain condition, the researchers would randomly assign participants to either a group that receives the drug or a group that receives a placebo, and then compare the outcomes between the two groups. The data collected in this study would be considered experimental data.

Descriptive data, on the other hand, is data that is collected through observation or surveys and is used to describe the characteristics of a population or phenomenon. The goal of descriptive data is to provide a snapshot of the current state of a certain population or phenomenon, rather than to determine cause-and-effect relationships. For example, in a study on the dietary habits of a certain population, the researchers would collect data on what types of food the participants typically eat and how often they eat them. This data would be considered descriptive data.

In summary, experimental data is collected through a controlled experiment to determine cause-and-effect relationships, while descriptive data is collected through observation or surveys to describe the characteristics of a population or phenomenon.

Descriptive data examples:

• A survey that asks people about their favorite type of music
• A census that counts the number of people living in a certain area
• A poll that asks people about their political affiliation

Experimental data examples:

• A study comparing the effectiveness of two different medications for treating a certain condition
• An experiment measuring the effect of different levels of a certain chemical on plant growth
• A clinical trial comparing the side effects of a new treatment to a standard treatment for a disease

Examples of Difference Data Collection Methods

Prepare Your Manuscript With Professional Editing

To ensure your methods are accurately articulated in your study and that your work is free of language errors, consider receiving professional proofreading services . Wordvice specializes in paper editing and manuscript editing for any kind of academic document. 

To receive free AI proofreading for academic writing in real time, try Wordvice AI and compare it to the leading AI writing assistant.

• Research Process
• Manuscript Preparation
• Manuscript Review
• Publication Process
• Publication Recognition
• Language Editing Services
• Translation Services

Choosing the Right Research Methodology: A Guide for Researchers

• 3 minute read
• 43.4K views

Table of Contents

Choosing an optimal research methodology is crucial for the success of any research project. The methodology you select will determine the type of data you collect, how you collect it, and how you analyse it. Understanding the different types of research methods available along with their strengths and weaknesses, is thus imperative to make an informed decision.

Understanding different research methods:

There are several research methods available depending on the type of study you are conducting, i.e., whether it is laboratory-based, clinical, epidemiological, or survey based . Some common methodologies include qualitative research, quantitative research, experimental research, survey-based research, and action research. Each method can be opted for and modified, depending on the type of research hypotheses and objectives.

Qualitative vs quantitative research:

When deciding on a research methodology, one of the key factors to consider is whether your research will be qualitative or quantitative. Qualitative research is used to understand people’s experiences, concepts, thoughts, or behaviours . Quantitative research, on the contrary, deals with numbers, graphs, and charts, and is used to test or confirm hypotheses, assumptions, and theories. 

Qualitative research methodology:

Qualitative research is often used to examine issues that are not well understood, and to gather additional insights on these topics. Qualitative research methods include open-ended survey questions, observations of behaviours described through words, and reviews of literature that has explored similar theories and ideas. These methods are used to understand how language is used in real-world situations, identify common themes or overarching ideas, and describe and interpret various texts. Data analysis for qualitative research typically includes discourse analysis, thematic analysis, and textual analysis. 

Quantitative research methodology:

The goal of quantitative research is to test hypotheses, confirm assumptions and theories, and determine cause-and-effect relationships. Quantitative research methods include experiments, close-ended survey questions, and countable and numbered observations. Data analysis for quantitative research relies heavily on statistical methods.

Analysing qualitative vs quantitative data:

The methods used for data analysis also differ for qualitative and quantitative research. As mentioned earlier, quantitative data is generally analysed using statistical methods and does not leave much room for speculation. It is more structured and follows a predetermined plan. In quantitative research, the researcher starts with a hypothesis and uses statistical methods to test it. Contrarily, methods used for qualitative data analysis can identify patterns and themes within the data, rather than provide statistical measures of the data. It is an iterative process, where the researcher goes back and forth trying to gauge the larger implications of the data through different perspectives and revising the analysis if required.

When to use qualitative vs quantitative research:

The choice between qualitative and quantitative research will depend on the gap that the research project aims to address, and specific objectives of the study. If the goal is to establish facts about a subject or topic, quantitative research is an appropriate choice. However, if the goal is to understand people’s experiences or perspectives, qualitative research may be more suitable. 

Conclusion:

In conclusion, an understanding of the different research methods available, their applicability, advantages, and disadvantages is essential for making an informed decision on the best methodology for your project. If you need any additional guidance on which research methodology to opt for, you can head over to Elsevier Author Services (EAS). EAS experts will guide you throughout the process and help you choose the perfect methodology for your research goals.

Why is data validation important in research?

When Data Speak, Listen: Importance of Data Collection and Analysis Methods

You may also like.

Descriptive Research Design and Its Myriad Uses

Five Common Mistakes to Avoid When Writing a Biomedical Research Paper

Making Technical Writing in Environmental Engineering Accessible

To Err is Not Human: The Dangers of AI-assisted Academic Writing

Writing a good review article

Scholarly Sources: What are They and Where can You Find Them?

Input your search keywords and press Enter.

•   SMU Libraries
• Scholarship & Research
• Teaching & Learning
• Bridwell Library
• DeGolyer Library
• Duda Family Business Library
• Fondren Library
• Hamon Arts Library
• Underwood Law Library
• Fort Burgwin Library
• Exhibits & Digital Collections
• SMU Scholar
• Special Collections & Archives
• Connect With Us
• Research Guides by Subject
• How Do I . . . ? Guides
• Find Your Librarian
• Writing Support

Types of Research Papers: Overview

• Types of Research Questions

A research paper is simply a piece of writing that uses outside sources. There are different types of research papers with varying purposes and expectations for sourcing. While this guide explains those differences broadly, disciplines and assignments vary.

Ask your professor for clarification on the purpose,  types of appropriate research questions , and expectations of sources for your assignment.

Need More Help?

Related guides.

• Literature Reviews
• Annotated Bibliographies
• Starting Your Research
• Next: Types of Research Questions >>
• Last Updated: Jun 10, 2024 3:50 PM
• URL: https://guides.smu.edu/researchpapertypes

Table of Contents

Collaboration, information literacy, writing process, research methods.

• © 2023 by Joseph M. Moxley - University of South Florida

Understand how to identify appropriate research methods for particular methodological communities , rhetorical situations , and research questions .

Research Methods are the tools and techniques (aka protocols , processes , strategies ) that investigators and methodological communities use to conduct research .

Research methods may be empirical (aka the scientific method), informal , or textual .

Key Terms: Methodological Community ; Research Methodology

If you are doing more than writing an essay that relies on sources, then you can benefit from understanding why there are different research methods.  Learn more about how academic and professional researchers employ diverse research methods.  Understand the philosophical assumptions that inform researchers in different disciplines.

Academic disciplines—for example, mathematics, psychology, physics, engineering, or business—have different ways of conducting and evaluating research. An anthropologist’s account of kinship patterns in a tribe of Native Americans bears almost no resemblance to a cognitive psychologist’s investigation of sensory responses to light stimuli. Even within a particular academic discipline, researchers may disagree over what makes good research.  Different researchers employ different research methodologies because they have opposing, sometimes contradictory ideas, about what constitutes a valid knowledge claim.  Not only do people disagree about appropriate methods of research, but their ideas may change over time. Conceptions about knowledge, available technologies, and research practices influence each other and change constantly. For example, capturing gorillas and studying them in cages might have been considered good research in the 1920s. The work of later researchers like Dian Fossey, however, demonstrated how animals might be better understood in their natural environment. Today, research based on observations of wild animals in captivity would gain little support or interest.

Research methods are a social, rhetorical construct . Different academic and professional communities —e.g., mathematics, psychology, physics, engineering, or business—employ unique research methods. A primary focus of training in academic and professional disciplines concerns learning how to use disciplinary-specific methods, tools, protocols, and processes for gathering and assessing information. For instance, an anthropologist’s account of kinship patterns in a tribe of Native Americans bears almost no resemblance to a cognitive psychologist’s investigation of sensory responses to light stimuli. 

Whether research results, truth claims , are understood or judged to be valid or convincing depends to a great extent on whether the investigator follows the tacit and explicit guidelines a discourse community considers appropriate for a particular research question and rhetorical situation . This is why rhetorical reasoning (especially audience awareness ) plays such a formative role in the selection of research methods.

Research methods are not necessarily paired with particular methodologies , epistemological values , such as the rejection of positivism . Rather, methodological communities may employ the same methods yet hold contrary assumptions about the sort of knowledge those methods produce. For instance, a researcher could argue a case study creates universal knowledge —insights that transcend individuals, cultures, and historical periods. For instance, based on his therapy notes, Freud theorized we all have an id, ego, and superego. Jung suggested we all play archetypal roles including the hero, the shadow, the anima and animus. In contrast, another researcher could conduct a case study with similar subjects and yet argue the insights gleaned from the research do not illustrate universal knowledge—i.e., the results are stories, narratives, that provide robust details about the subjects interviewed . . . and nothing more.

Research Methods are constantly changing in response to new technologies. Eager to develop new knowledge or test knowledge claims , investigators experiment with new methods as technologies evolve. For example, the internet enables investigators to conduct worldwide research with online survey tools and video conferencing tools. Businesses are working with big data and analytics to commercialize data about consumers habits as they traverse the internet or purchase items in the world. Machine learning theorists are looking at how people write to develop artificial intelligence so technologies like Amazon’s Alexa can speak with humans.

Research Methods are evolving in response to new cultural mores. Communities of practice reconsider ethical principles and engage in dialectics regarding best practices. For example, capturing gorillas and studying them in cages might have been considered good research in the 1920s. The work of later researchers like Dian Fossey, however, demonstrated how animals might be better understood in their natural environment. Today, research based on observations of wild animals in captivity would gain little support or interest.

Consumers of research studies are wise to evaluate research methods. As a consumer of research, you are wise to critically evaluate a researcher’s methods. You would, for example, take your doctor’s diagnosis of a life-threatening disease more seriously than a fortune teller’s prediction of an early death. What distinguishes a physician’s prognosis from a fortune teller’s prophecy are research methods: the doctor may be looking at the results of your physical, blood work, x rays, CT Scans, MRI, or family history, whereas the fortune teller may be gazing into a crystal ball, pendulum, Tarot cars, or astrological charts.

[ The CRAAP Test (Currency, Relevance, Authority, Accuracy, Purpose) ]

Taxonomy of Research Methods

Research Methods & Mindset

How deeply we engage in Informal Research, Textual Research, or Primary Research is tied to our mindset as an investigator, the importance of the occasion and exigency, and our judgment as to whether it’s the best possible kairotic moment.

Our engagement with research methods is also tied to our training. In high schools and colleges in the U.S., students learn about information literacy perspectives & practices and write with sources . Additionally, some fortunate students learn to conduct lab experiments in high schools. But it really isn’t until college — and, for some, graduate school — that students receive training from experts in empirical research methods.

Our information seeking behaviors are also shaped by the seriousness of the occasion to ourselves and others. For instance, when COVID-19 virus became a pandemic in the spring of 2020, many scientists from throughout the world dropped what they had been working on and turned to finding a vaccine or medications to ameliorate the virus.

Related Articles:

Empirical Research Methods

Informal research methods, mixed research methods, qualitative research methods, quantitative research methods.

Textual Research Methods

Recommended.

Academic Writing – How to Write for the Academic Community

Structured Revision – How to Revise Your Work

Professional Writing – How to Write for the Professional World

Credibility & Authority – How to Be Credible & Authoritative in Research, Speech & Writing

Citation Guide – Learn How to Cite Sources in Academic and Professional Writing

Page Design – How to Design Messages for Maximum Impact

Suggested edits.

• Please select the purpose of your message. * - Corrections, Typos, or Edits Technical Support/Problems using the site Advertising with Writing Commons Copyright Issues I am contacting you about something else
• Your full name
• Your email address *
• Page URL needing edits *
• Name This field is for validation purposes and should be left unchanged.

Inspire yourself and strengthen your cognive competencies by being reflective, by engaging in informal research to solve problems or inspire more formal research methods.

Create more agency in your life. Sharpen your critical reading and thinking competencies by engaging in critical analysis of texts. Understand disparities in textual interpretations. Learn different ways to interpret...

Featured Articles

How To Write A Research Paper

Types Of Research

Types of Research - Methodologies and Characteristics

10 min read

Published on: May 13, 2021

Last updated on: Jan 30, 2024

People also read

How to Write a Research Paper Step by Step

How to Write a Proposal For a Research Paper in 10 Steps

A Comprehensive Guide to Creating a Research Paper Outline

300+ Engaging Research Paper Topics to Get You Started

Interesting Psychology Research Topics & Ideas

Qualitative Research - Types, Methods & Examples

Understanding Quantitative Research - Definition, Types, Examples, And More

Research Paper Example - Examples for Different Formats

How To Start A Research Paper - Steps With Examples

How To Write a Literature Review for a Research Paper | Steps & Examples

Types of Qualitative Research Methods - An Overview

Understanding Qualitative vs. Quantitative Research - A Complete Guide

How to Cite a Research Paper in Different Citation Styles

Easy Sociology Research Topics for Your Next Project

200+ Outstanding History Research Paper Topics With Expert Tips

How To Write a Hypothesis in a Research Paper | Steps & Examples

How to Write an Introduction for a Research Paper - A Step-by-Step Guide

How to Write a Good Research Paper Title

How to Write a Conclusion for a Research Paper in 3 Simple Steps

How to Write an Abstract For a Research Paper with Examples

How To Write a Thesis For a Research Paper Step by Step

How to Write a Discussion For a Research Paper | Objectives, Steps & Examples

How to Write the Results Section of a Research Paper - Structure and Tips

How to Write a Problem Statement for a Research Paper in 6 Steps

How To Write The Methods Section of a Research Paper Step-by-Step

How to Find Sources For a Research Paper | A Guide

Share this article

Are you struggling to choose the right research method for your project?

There are so many different research methods available. It can be overwhelming to determine which one is best suited for your project's specific needs. 

Not knowing the differences between each type of research can lead to inefficient data and less effective decision-making.

Fear not! 

In this blog post, we'll break down the different types of research methods and provide guidance on when to use each one. 

By the end of this post, you'll have a clear understanding of which research method is right for your project. You'll be on your way to collecting accurate and insightful data.

So why wait? Let’s dive in!

Tough Essay Due? Hire Tough Writers!

On This Page On This Page -->

What is Research?

Research is a careful and detailed study of a particular problem or a topic using scientific methods. It is an inquiry through which a researcher describes, predicts, explains, and observes a certain problem or phenomenon.

Research is not done for only scientific subjects and issues, but non-scientific issues like social issues are also researched.

This is the reason that students of almost every field and discipline are asked to conduct research for their degree.

Different Research Methods 

There are basically two research methods involved in the research; a deductive and an inductive method.

In the inductive method, the researcher collects data through observation, interviews, surveys, or other methods. He then uses that data to develop a theory or hypothesis. 

This hypothesis is then tested through additional data collection and analysis. 

Inductive research is often used in qualitative research, where the focus is on understanding the perspectives of individuals or groups.

On The Other Hand

In the deductive method, the researcher starts with a theory or hypothesis and then uses data to test and validate that theory. 

This approach is often used in quantitative research, where numerical data is collected and analyzed using statistical methods.

Types of Research

There are different types of research conducted on different subjects and for different purposes. It is important to understand that every topic takes a specific research type.

Below are the common types of research. Let’s discuss them in detail.

Applied Research

Applied research is the type of research that researches the facts and finds the opportunity for further investigation. This is research based on experiments and applies different concepts and theories to prove and validate the answer offered by fundamental research.

The key components of this research include:

• Applied research aims to study a specific research problem or case with an objective.
• It studies all the minor and major aspects like variables and or data that make a difference.
• This research proposes a possible change.
• It discards and eliminates wrong facts.
• The research is done in common and simple language.

The applied research can further be multiplied into three types; quantitative, qualitative, and mixed research.

Quantitative Research

Quantitative research is a study that is based on numbers, figures, and statistics. In this research type, the quantitative data collected and gathered is in the form of numbers, graphs, and tables. The collected data is then studied to come up with results.

The data collected for this research is from:

• Questionnaires

Quantitative Research Example

Qualitative Research

Qualitative research is a research type that is based on theories and the quality of the data. This research deals with the descriptions, and the chosen issue is referred to as the previous studies and research.

The basic purpose of this research is to investigate and explain a specific question. Qualitative research includes the following qualitative methods to gather data:

• Case Studies
• Ethnographic research
• Focused groups

Qualitative Research Example

Mixed Research

This research is a blend of both techniques; qualitative and quantitative. Each qualitative and quantitative research has limitations. But by bringing the best of both the researches, more targeted results are achieved.

In this research type, the analysis is made using mixed methods on both the numerical data and the theoretical concepts.

Applied Research Template

Action Research

Action research is a research type that analyzes, evaluates, and investigates institutional and organizational methods.

This is done to examine if the existing methods of data collection need any betterment and improvement.

Descriptive Research

Descriptive research is similar to a descriptive essay. Just as the essay describes an event, the research describes an event and phenomenon as well.

The main research question this research is studied and the causes and reasons behind it.

Exploratory Research

This is the research type in which a problem or a topic is researched because there were no clear studies present before regarding the issue. This research demands priorities creates an operational definition, and provides a better research model than the existing one.

Moreover, it helps you to draw conclusions from the research design. Also, it is different from explanatory research.

Policy-Oriented Research

Policy-oriented research is a type of research that studies the issues faced by the public and aims to solve these issues using different methods.

This research informs and understands the prevailing public issues that will help in decision-making.

The useful policies and implementation of the changes can be done through this research type. It is social-scientific research.

• Basic Research

Basic or fundamental research is a simple investigation that a person does on the basic principles or concepts. That is involved in the occurrence of a particular issue, event, or phenomenon. 

Concepts and ideas related to science are studied and examined using this research type.

Basic research does the following things:

• It searches for generalized information and ideas.
• Use basic methods and processes.
• Explain the basic reasons behind an event
• Gathers as much information and data as possible

Correlational Research

This type of research examines the relationship between two or more variables. It seeks to determine if they are related and to what extent. 

Correlational research can be used to identify patterns and to make predictions about future behavior.

Ethnographic Research 

This type of research involves observing and interacting with a specific culture or group of people. It is done to gain insight into their beliefs, customs, and practices. 

Ethnographic research often involves extended periods of fieldwork and can provide in-depth information about the culture being studied.

Experimental Research 

This type of research involves manipulating one or more variables in order to observe the effects on another variable. 

Experimental research is often used to establish cause-and-effect relationships between variables and is commonly used in the natural and social sciences.

Historical Research 

This type of research involves examining past events, people, and cultures in order to gain insight into the present. 

Historical research often involves analyzing primary sources, such as letters, diaries, and government documents.

Phenomenological Research

This type of research involves exploring individuals' subjective experiences of a particular phenomenon, such as a medical condition or a life event. 

Phenomenological research seeks to understand the meaning individuals attribute to their experiences and is often used in psychology and healthcare research.

Conclusive Research 

This type of research is used to provide conclusive evidence on a research question or hypothesis. 

Conclusive research is often conducted through experiments, surveys, or observations to provide clear and conclusive findings. 

This type of research is used to make informed decisions about marketing, product development, or business strategy.

If you are interested in learning how to write a research paper, you can check our blog on how to write a research paper !

Key Features of Conducting Research

Research is conducted for a lot of purposes. It is done through the consideration of the rules, concepts, and research design. 

It has some characteristics that differ from other forms of writing. These characteristics include:

• For the data collection for the research paper, a systematic approach is needed
• Your research is based only on logical and strong reasons. Both deductive and inductive reasoning can be done in research.
• Data should be deeply analyzed and gathered at single and several points in time.
• Your research should be opening a new path of questions
• Your research should be accurate and reliable.
• Your research should contain causal relationships

Tips for Choosing a Research Methodology 

Choosing a research methodology is an important decision that can have a significant impact on the outcomes of a research project. 

Here are some tips to consider when selecting a research methodology:

Consider the research question: The research question should guide the selection of the research methodology. 

For example, if the research question aims to explore individuals' subjective experiences, qualitative research methods may be more appropriate than quantitative research methods.

Evaluate the available data: The type and amount of data available can also influence the choice of research methodology. 

If there is a large amount of numerical data available, quantitative research methods may be more suitable. 

Conversely, if data is limited or difficult to quantify, qualitative research methods may be more appropriate.

Assess the research context: The context of the research project can also influence the choice of research methodology. 

For example, if the research project involves sensitive topics, qualitative research methods may be more effective in ensuring participants' confidentiality and privacy.

Consider the researcher's skills and expertise: The researcher's skills and expertise in a particular research methodology should also be considered. 

Conducting research using a methodology that the researcher is not familiar with can lead to errors in data collection and analysis.

Review previous research: Previous research in the area of interest can also inform the selection of research methodology. 

Reviewing previous research can help identify the most appropriate methodology based on the research question, available data, and research context.

It is no doubt a daunting job to conduct research. But if you know which type of research to conduct and what methodologies to use to gather data for the research, it becomes easier. 

Many students find research very challenging and always want professional help to conduct their research. CollegeEssay.org is a reliable academic writing service for students. 

Our professionals aim to provide expert guidance and help to the students by providing written assignments. 

Or you can get your papers and essays written today by our AI essay writer , so give it a try now.

Nova A. (Literature, Marketing)

As a Digital Content Strategist, Nova Allison has eight years of experience in writing both technical and scientific content. With a focus on developing online content plans that engage audiences, Nova strives to write pieces that are not only informative but captivating as well.

Paper Due? Why Suffer? That’s our Job!

Keep reading

Legal & Policies

• Privacy Policy
• Cookies Policy
• Terms of Use
• Refunds & Cancellations
• Our Writers
• Success Stories
• Our Guarantees
• Affiliate Program
• Referral Program
• AI Essay Writer

Disclaimer: All client orders are completed by our team of highly qualified human writers. The essays and papers provided by us are not to be used for submission but rather as learning models only.

• +44 (0) 207 391 9032

Recent Posts

• How to Write a Research Paper Like a Pro
• Academic Integrity vs. Academic Dishonesty: Understanding the Key Differences
• How to Use AI to Enhance Your Thesis
• Guide to Structuring Your Narrative Essay for Success
• How to Hook Your Readers with a Compelling Topic Sentence
• Is a Thesis Writing Format Easy? A Comprehensive Guide to Thesis Writing
• The Complete Guide to Copy Editing: Roles, Rates, Skills, and Process
• How to Write a Paragraph: Successful Essay Writing Strategies
• Everything You Should Know About Academic Writing: Types, Importance, and Structure
• Concise Writing: Tips, Importance, and Exercises for a Clear Writing Style
• Academic News
• Custom Essays
• Dissertation Writing
• Essay Marking
• Essay Writing
• Essay Writing Companies
• Model Essays
• Model Exam Answers
• Oxbridge Essays Updates
• PhD Writing
• Significant Academics
• Student News
• Study Skills
• University Applications
• University Essays
• University Life
• Writing Tips

Different Types of Research Methodologies in Research

Since 2006, oxbridge essays has been the uk’s leading paid essay-writing and dissertation service.

We have helped 10,000s of undergraduate, Masters and PhD students to maximise their grades in essays, dissertations, model-exam answers, applications and other materials. If you would like a free chat about your project with one of our UK staff, then please just reach out on one of the methods below.

A research journey can be compared to navigating unexplored territories. To explore this intellectual terrain successfully, researchers need to employ the appropriate tools: cue research methodologies. Whether you find yourself at the inception of planning your dissertation or are just beginning to contemplate your PhD proposal, the methodology you choose will play a pivotal role in shaping the trajectory of your research journey. In this blog post, we will delve into the three main different types of research methodologies, examining their significance and dissecting the unique features that make each one distinct.

What Does Research Methodology Mean?

Research methodology is the strategic framework that outlines the systematic process researchers use to collect, interpret, and analyse data. It acts as a roadmap, providing a structured path for investigators to follow, ensuring the reliability and validity of their findings. In essence, it is the blueprint that governs your entire research journey.

The Main Types of Research Methodologies

When embarking on a research endeavour, the choice of methodology is crucial. Different types of studies call for different approaches. Let's explore the three main types of research methodologies: Qualitative Research, Quantitative Research, and Mixed Methods.

Qualitative Research : Qualitative research is an exploratory approach focused on gaining a deep understanding of a phenomenon. It employs non-numerical data such as interviews, observations, and open-ended surveys to explore the complexities of human behaviour, attitudes, and experiences. This method is ideal for uncovering nuanced insights that quantitative methods might overlook.

Qualitative research allows for flexibility and adaptability during the research process. It is particularly valuable in fields such as sociology, psychology, and anthropology, where the aim is often to understand the underlying motivations and meanings behind human actions.

Quantitative Research : Quantitative research, on the other hand, concerns the collection and analysis of numerical data. This method employs structured surveys, experiments, and statistical analyses to identify patterns, relationships, and trends within a large dataset. It provides a more objective and measurable approach to research, making it suitable for studies where numerical data is paramount.

Quantitative research is commonly used in fields like economics, medicine, and engineering, where the goal is often to quantify phenomena and draw statistically significant conclusions. This method is characterised by its emphasis on objectivity and the ability to generalise findings to a broader population.

Mixed Methods : Recognising the strengths of both qualitative and quantitative approaches, some researchers opt for a mixed methods methodology. This hybrid approach integrates the best of both worlds, allowing you to gather a comprehensive understanding of your research question. It involves collecting and analysing both qualitative and quantitative data, providing a more holistic perspective.

Mixed methods research is particularly advantageous when a multifaceted understanding of a phenomenon is required. This approach is widely used in education, public health, and social sciences, where combining qualitative depth with quantitative breadth enhances the overall robustness of the study.

How to Choose the Right Methodology for You

Choosing the right research methodology is a multifaceted decision that requires a thoughtful examination of several critical factors. These factors collectively shape the trajectory of your research and contribute significantly to the reliability and validity of your findings.

Research Question At the heart of your decision-making process is the research question. The nature of your inquiry plays a pivotal role in determining the most suitable methodology. For instance, if your goal is to explore the intricate nuances of human experiences, attitudes, or behaviours, qualitative methods such as interviews or observations may be more appropriate. On the other hand, if your research question demands statistical analysis and a quantifiable approach, quantitative methods may be better suited.

Nature of Your Study The characteristics of your study, whether it is exploratory, explanatory, descriptive, or experimental, will also influence your choice of methodology. An exploratory study, aiming to uncover new insights and generate hypotheses, may lean towards qualitative methods. In contrast, an experimental study, seeking to establish cause-and-effect relationships, may require a quantitative approach. Understanding the overarching purpose and design of your study is crucial in aligning the methodology with your research goals.

Available Resources Practical considerations, such as the resources at your disposal, also play a significant role. This encompasses not only financial resources but also the time available, access to participants, and the technological tools required for data collection and analysis. The feasibility of implementing a specific methodology within the constraints of your resources is a key factor in your decision-making process.

Objectives Whether your aim is to explore, describe, explain, or predict, each objective calls for a distinct approach. Your methodology should be tailored to meet these objectives and provide the most effective means of answering your research questions.

Choose Your Research Path Wisely

As you embark on your research voyage, remember that the choice of methodology is a compass that will guide your every step. Whether you opt for the depth of qualitative research, the precision of quantitative methods, or the comprehensive approach of mixed methods, understanding the intricacies of each is crucial for success.

Top 10 tips for writing a dissertation methodology

Advice for successfully writing a dissertation

How Much Does It Cost To Write A Thesis? Get Complete Process & Tips

Writing services.

• Essay Plans
• Critical Reviews
• Literature Reviews
• Presentations
• Dissertation Title Creation
• Dissertation Proposals
• Dissertation Chapters
• PhD Proposals
• Journal Publication
• CV Writing Service
• Business Proofreading Services

Editing Services

• Proofreading Service
• Editing Service
• Academic Editing Service

Additional Services

• Marking Services
• Consultation Calls
• Personal Statements
• Tutoring Services

Our Company

• Frequently Asked Questions
• Become a Writer

Terms & Policies

• Fair Use Policy
• Policy for Students in England
• Privacy Policy
• Terms & Conditions
• [email protected]
• Contact Form

Payment Methods

Cryptocurrency payments.

Reference management. Clean and simple.

Types of research papers

Analytical research paper

Argumentative or persuasive paper, definition paper, compare and contrast paper, cause and effect paper, interpretative paper, experimental research paper, survey research paper, frequently asked questions about the different types of research papers, related articles.

There are multiple different types of research papers. It is important to know which type of research paper is required for your assignment, as each type of research paper requires different preparation. Below is a list of the most common types of research papers.

➡️ Read more:  What is a research paper?

In an analytical research paper you:

• pose a question
• collect relevant data from other researchers
• analyze their different viewpoints

You focus on the findings and conclusions of other researchers and then make a personal conclusion about the topic. It is important to stay neutral and not show your own negative or positive position on the matter.

The argumentative paper presents two sides of a controversial issue in one paper. It is aimed at getting the reader on the side of your point of view.

You should include and cite findings and arguments of different researchers on both sides of the issue, but then favor one side over the other and try to persuade the reader of your side. Your arguments should not be too emotional though, they still need to be supported with logical facts and statistical data.

Tip: Avoid expressing too much emotion in a persuasive paper.

The definition paper solely describes facts or objective arguments without using any personal emotion or opinion of the author. Its only purpose is to provide information. You should include facts from a variety of sources, but leave those facts unanalyzed.

Compare and contrast papers are used to analyze the difference between two:

Make sure to sufficiently describe both sides in the paper, and then move on to comparing and contrasting both thesis and supporting one.

Cause and effect papers are usually the first types of research papers that high school and college students write. They trace probable or expected results from a specific action and answer the main questions "Why?" and "What?", which reflect effects and causes.

In business and education fields, cause and effect papers will help trace a range of results that could arise from a particular action or situation.

An interpretative paper requires you to use knowledge that you have gained from a particular case study, for example a legal situation in law studies. You need to write the paper based on an established theoretical framework and use valid supporting data to back up your statement and conclusion.

This type of research paper basically describes a particular experiment in detail. It is common in fields like:

Experiments are aimed to explain a certain outcome or phenomenon with certain actions. You need to describe your experiment with supporting data and then analyze it sufficiently.

This research paper demands the conduction of a survey that includes asking questions to respondents. The conductor of the survey then collects all the information from the survey and analyzes it to present it in the research paper.

➡️ Ready to start your research paper? Take a look at our guide on how to start a research paper .

In an analytical research paper, you pose a question and then collect relevant data from other researchers to analyze their different viewpoints. You focus on the findings and conclusions of other researchers and then make a personal conclusion about the topic.

The definition paper solely describes facts or objective arguments without using any personal emotion or opinion of the author. Its only purpose is to provide information.

Cause and effect papers are usually the first types of research papers that high school and college students are confronted with. The answer questions like "Why?" and "What?", which reflect effects and causes. In business and education fields, cause and effect papers will help trace a range of results that could arise from a particular action or situation.

This type of research paper describes a particular experiment in detail. It is common in fields like biology, chemistry or physics. Experiments are aimed to explain a certain outcome or phenomenon with certain actions.

The Plagiarism Checker Online For Your Academic Work

Start Plagiarism Check

Editing & Proofreading for Your Research Paper

Get it proofread now

Online Printing & Binding with Free Express Delivery

Configure binding now

• Academic essay overview
• The writing process
• Structuring academic essays
• Types of academic essays
• Academic writing overview
• Sentence structure
• Academic writing process
• Improving your academic writing
• Titles and headings
• APA style overview
• APA citation & referencing
• APA structure & sections
• Citation & referencing
• Structure and sections
• APA examples overview
• Commonly used citations
• Other examples
• British English vs. American English
• Chicago style overview
• Chicago citation & referencing
• Chicago structure & sections
• Chicago style examples
• Citing sources overview
• Citation format
• Citation examples
• College essay overview
• Application
• How to write a college essay
• Types of college essays
• Commonly confused words
• Definitions
• Dissertation overview
• Dissertation structure & sections
• Dissertation writing process
• Graduate school overview
• Application & admission
• Study abroad
• Master degree
• Harvard referencing overview
• Language rules overview
• Grammatical rules & structures
• Parts of speech
• Punctuation
• Methodology overview
• Analyzing data
• Experiments
• Observations
• Inductive vs. Deductive
• Qualitative vs. Quantitative
• Types of validity
• Types of reliability
• Sampling methods
• Theories & Concepts
• Types of research studies
• Types of variables
• MLA style overview
• MLA examples
• MLA citation & referencing
• MLA structure & sections
• Plagiarism overview
• Plagiarism checker
• Types of plagiarism
• Printing production overview
• Research bias overview
• Types of research bias
• Example sections
• Types of research papers
• Research process overview
• Problem statement
• Research proposal
• Research topic
• Statistics overview
• Levels of measurment
• Frequency distribution
• Measures of central tendency
• Measures of variability
• Hypothesis testing
• Parameters & test statistics
• Types of distributions
• Correlation
• Effect size
• Hypothesis testing assumptions
• Types of ANOVAs
• Types of chi-square
• Statistical data
• Statistical models
• Spelling mistakes
• Tips overview
• Academic writing tips
• Dissertation tips
• Sources tips
• Working with sources overview
• Evaluating sources
• Finding sources
• Including sources
• Types of sources

Your Step to Success

Plagiarism Check within 10min

Printing & Binding with 3D Live Preview

Types of Research – Definition & Methods

How do you like this article cancel reply.

Save my name, email, and website in this browser for the next time I comment.

The methodology of academic writing encompasses various types of research, each with its unique approach and purpose. From qualitative to quantitative, experimental to correlational, understanding these different types is crucial to select the right approach for your study. Our guide will elucidate these methods. Good research skills are a must for students, so you need to be familiar with the different types of research you can use.

Inhaltsverzeichnis

• 1 Types of Research – In a Nutshell
• 2 Definition: Types of research
• 3 Types of research – Purpose
• 4 Types of research – Depth of scope
• 5 Types of research – Type of data
• 6 Types of research – Manipulation of variables
• 7 Types of research – Type of inference
• 8 Types of research – Time of execution
• 9 Types of research – Sources of information
• 10 Types of research – State of data

Types of Research – In a Nutshell

• Research skills are essential for college and university students.
• There are different types of research you can use, depending on your topic, course, and research question.
• You can use multiple types of research in the same study, as long as they’re suited to your topic and research question.

Definition: Types of research

There are many different types of research based on their purpose, the type of data involved, the sources used, etc.

Which types of research you use depends on your area of study and the scope of your project.

Someone studying anthropology would use qualitative research , like different types of interviews , whereas someone studying physics would rely on quantitative research .

Types of research – Purpose

Theoretical research.

This type of research deepens or expands existing knowledge, but it doesn’t try to solve specific problems.

A study of 17th century literature in southern Italy.

Applied Research

Applied research focuses on real-world issues and its conclusions have practical applications.

A psychology student investigating how to improve memory in school-age children.

Types of research – Depth of scope

Exploratory research.

This type of research aims to provide a general framework around a particular topic, without going into too much detail.

A Ph.D. student would carry out exploratory research at the beginning of their studies, to determine the best data collection method or to find out what others have written about the topic.

Descriptive research

Descriptive research gathers extensive data about a topic or about research subjects, so it has a deeper scope than exploratory research .

A marketing student researching changes in smartphone buyer behavior.

Explanatory research

This type of research focuses on answering “why”-questions. This requires a detailed cause-and-effect assessment.

A linguistics student investigating why second language acquisition is delayed in learners over 30 years old.

Correlational research

This research compares two facts or data sets, to find meaningful connections between them.

A sports medicine student examining whether sleep patterns affect an athlete’s performance.

Types of research – Type of data

Qualitative research.

Data consists of words or concepts, which can be assessed and interpreted but not objectively measured.

A focus group on retired people’s attitude to exercise.

Quantitative research

This research relies on any data units that can be objectively measured.

A statistical analysis of economic data.

Types of research – Manipulation of variables

Experimental research.

Independent variables are applied to dependent variables to determine their impact and to test a hypothesis.

Observing the effects of independent variable A (two groups of 70+ patients, one group taking X medication and the other taking a placebo) on dependent variable B (lower blood pressure).

Non-Experimental research

Non-experimental research doesn’t manipulate the independent variable, and it’s not always necessary to find a correlation between variables.

A study of visual accuracy in people who’ve had laser eye surgery.

Quasi-experimental research

This is similar to experimental research, but the main difference is that in quasi-experimental research , research subjects aren’t randomly assigned to different groups.

Investigating why some office workers use productivity apps and some don’t.

Types of research – Type of inference

Deductive research.

In deductive research , inferences or conclusions are reached by testing a theory and/or a hypothesis. Data is collected and analyzed to either prove or disprove the hypothesis.

Investigating the hypothesis that airline delays are more frequent in summer.

Inductive research

The starting point isn’t a theory or hypothesis, but a set of observations that can later be turned into generalizations.

A number of flights are delayed during the summer months. Inductive research observes the pattern and concludes by stating a possible theory about why this happens.

Types of research – Time of execution

Diachronic research.

Diachronic research studies a fact or phenomenon over a period of time.

A study of how English slang changed between 1950 and 1980.

Synchronous research

Synchronous research examines a fact or phenomenon as it happens during a specific point in time.

How second-generation Indian immigrants use English slang.

Types of research – Sources of information

Primary research.

This means that your data comes from your own research.

Interviewing shoppers to find out what are their purchasing criteria.

Secondary research

This means that your research data comes from existing sources.

A study of census data between 1900-1930.

Types of research – State of data

Documentary.

Data consists of existing official documents, photos, personal communications, or audio files.

Field data is created and collected in real-world settings, for example in the form of interviews, surveys, etc.

Lab data is usually collected in lab settings under controlled conditions.

Mixed-Method: Documentary, field, and/or laboratory

This refers to the combination of all three types of research in a single study.

What are the two main types of research?

In terms of purpose, the 2 main types of research are theoretical and applied. In terms of the data used, research can be classified into qualitative and quantitative.

Can I use different types of research in my work?

Yes, using several types of research is possible as long as they’re compatible and suited to your topic and research question.

What do I need to do research?

A research question, data, and a framework to analyze the data.

Do I need special software?

Not always. This is more common if you’re doing quantitative research.

I’m so happy with how my dissertation turned out! The order process was very...

We use cookies on our website. Some of them are essential, while others help us to improve this website and your experience.

• External Media

Individual Privacy Preferences

Cookie Details Privacy Policy Imprint

Here you will find an overview of all cookies used. You can give your consent to whole categories or display further information and select certain cookies.

Accept all Save

Essential cookies enable basic functions and are necessary for the proper function of the website.

Show Cookie Information Hide Cookie Information

Statistics cookies collect information anonymously. This information helps us to understand how our visitors use our website.

Content from video platforms and social media platforms is blocked by default. If External Media cookies are accepted, access to those contents no longer requires manual consent.

Privacy Policy Imprint

Academic Writing: FAQs: Types of Academic Writing

• Getting Started
• Types of Academic Writing
• The Writing Process
• Proofreading and Revising

Header Image

Research Papers

What is a research paper?

A research paper requires you to form an opinion on a topic, research and gain expert knowledge on that topic, and then back up your own opinions and assertions with facts found through your thorough research.

Types of Research Papers   This guide discusses the different types of research papers that you might encounter in an academic setting.

How to Write a Research Paper  This article provides step-by-step guidance on how to write a research paper.

Argumentative Essays

What is an argumentative essay?

In this paper, you make an argument about a topic or subject and use evidence and analysis to prove your argument. Your main argument is also called a thesis statement .

How to Write an Argumentative Essay   This article discusses the basics of writing an argumentative paper.

Exploratory Essays

What is an exploratory essay?

An exploratory essay considers a topic or problem and explores possible solutions. This type of paper also sometimes includes background about how you have approached the topic, as well as information about your research process. Whereas other types of essays take a concrete stance on an issue and offer extensive support for that stance, the exploratory essay covers how you arrived at an idea and what research materials and methods you used to explore it.

How to Write an Exploratory Essay   This article covers the essentials of writing an exploratory essay.

Critical Analysis Essays

What is a critical analysis essay?

A critical analysis examines and evaluates someone else’s work, such as a book, an essay, or an article. It requires two steps: a careful reading of the work and thoughtful analysis of the information presented in the work.

How to Write a Critical Analysis Essay   This resource discusses the details of critical analysis essays and provides tips for writing one.

Literature Reviews

What is a literature review?

A literature review is an assessment of sources on a chosen topic of research. The  four main objectives  of a literature review are:

• Studying  the references of your research area
• Summarizing  the main arguments
• Identifying  current gaps, stances, and issues
• Finally,  presenting  all of the above in a text

How to Write a Literature Review   This guide defines literature reviews and offers strategies for constructing them.

• << Previous: Getting Started
• Next: Research >>
• Last Updated: May 16, 2023 3:08 PM
• URL: https://paperpile.libguides.com/academic-writing-faqs

Research Methods 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.

Research methods in psychology are systematic procedures used to observe, describe, predict, and explain behavior and mental processes. They include experiments, surveys, case studies, and naturalistic observations, ensuring data collection is objective and reliable to understand and explain psychological phenomena.

Hypotheses are statements about the prediction of the results, that can be verified or disproved by some investigation.

There are four types of hypotheses :

• Null Hypotheses (H0 ) – these predict that no difference will be found in the results between the conditions. Typically these are written ‘There will be no difference…’
• Alternative Hypotheses (Ha or H1) – these predict that there will be a significant difference in the results between the two conditions. This is also known as the experimental hypothesis.
• One-tailed (directional) hypotheses – these state the specific direction the researcher expects the results to move in, e.g. higher, lower, more, less. In a correlation study, the predicted direction of the correlation can be either positive or negative.
• Two-tailed (non-directional) hypotheses – these state that a difference will be found between the conditions of the independent variable but does not state the direction of a difference or relationship. Typically these are always written ‘There will be a difference ….’

All research has an alternative hypothesis (either a one-tailed or two-tailed) and a corresponding null hypothesis.

Once the research is conducted and results are found, psychologists must accept one hypothesis and reject the other. 

So, if a difference is found, the Psychologist would accept the alternative hypothesis and reject the null.  The opposite applies if no difference is found.

Sampling techniques

Sampling is the process of selecting a representative group from the population under study.

A sample is the participants you select from a target population (the group you are interested in) to make generalizations about.

Representative means the extent to which a sample mirrors a researcher’s target population and reflects its characteristics.

Generalisability means the extent to which their findings can be applied to the larger population of which their sample was a part.

• Volunteer sample : where participants pick themselves through newspaper adverts, noticeboards or online.
• Opportunity sampling : also known as convenience sampling , uses people who are available at the time the study is carried out and willing to take part. It is based on convenience.
• Random sampling : when every person in the target population has an equal chance of being selected. An example of random sampling would be picking names out of a hat.
• Systematic sampling : when a system is used to select participants. Picking every Nth person from all possible participants. N = the number of people in the research population / the number of people needed for the sample.
• Stratified sampling : when you identify the subgroups and select participants in proportion to their occurrences.
• Snowball sampling : when researchers find a few participants, and then ask them to find participants themselves and so on.
• Quota sampling : when researchers will be told to ensure the sample fits certain quotas, for example they might be told to find 90 participants, with 30 of them being unemployed.

Experiments always have an independent and dependent variable .

• The independent variable is the one the experimenter manipulates (the thing that changes between the conditions the participants are placed into). It is assumed to have a direct effect on the dependent variable.
• The dependent variable is the thing being measured, or the results of the experiment.

Operationalization of variables means making them measurable/quantifiable. We must use operationalization to ensure that variables are in a form that can be easily tested.

For instance, we can’t really measure ‘happiness’, but we can measure how many times a person smiles within a two-hour period. 

By operationalizing variables, we make it easy for someone else to replicate our research. Remember, this is important because we can check if our findings are reliable.

Extraneous variables are all variables which are not independent variable but could affect the results of the experiment.

It can be a natural characteristic of the participant, such as intelligence levels, gender, or age for example, or it could be a situational feature of the environment such as lighting or noise.

Demand characteristics are a type of extraneous variable that occurs if the participants work out the aims of the research study, they may begin to behave in a certain way.

For example, in Milgram’s research , critics argued that participants worked out that the shocks were not real and they administered them as they thought this was what was required of them. 

Extraneous variables must be controlled so that they do not affect (confound) the results.

Randomly allocating participants to their conditions or using a matched pairs experimental design can help to reduce participant variables. 

Situational variables are controlled by using standardized procedures, ensuring every participant in a given condition is treated in the same way

Experimental Design

Experimental design refers to how participants are allocated to each condition of the independent variable, such as a control or experimental group.

• Independent design ( between-groups design ): each participant is selected for only one group. With the independent design, the most common way of deciding which participants go into which group is by means of randomization. 
• Matched participants design : each participant is selected for only one group, but the participants in the two groups are matched for some relevant factor or factors (e.g. ability; sex; age).
• Repeated measures design ( within groups) : each participant appears in both groups, so that there are exactly the same participants in each group.
• The main problem with the repeated measures design is that there may well be order effects. Their experiences during the experiment may change the participants in various ways.
• They may perform better when they appear in the second group because they have gained useful information about the experiment or about the task. On the other hand, they may perform less well on the second occasion because of tiredness or boredom.
• Counterbalancing is the best way of preventing order effects from disrupting the findings of an experiment, and involves ensuring that each condition is equally likely to be used first and second by the participants.

If we wish to compare two groups with respect to a given independent variable, it is essential to make sure that the two groups do not differ in any other important way. 

Experimental Methods

All experimental methods involve an iv (independent variable) and dv (dependent variable)..

• Field experiments are conducted in the everyday (natural) environment of the participants. The experimenter still manipulates the IV, but in a real-life setting. It may be possible to control extraneous variables, though such control is more difficult than in a lab experiment.
• Natural experiments are when a naturally occurring IV is investigated that isn’t deliberately manipulated, it exists anyway. Participants are not randomly allocated, and the natural event may only occur rarely.

Case studies are in-depth investigations of a person, group, event, or community. It uses information from a range of sources, such as from the person concerned and also from their family and friends.

Many techniques may be used such as interviews, psychological tests, observations and experiments. Case studies are generally longitudinal: in other words, they follow the individual or group over an extended period of time. 

Case studies are widely used in psychology and among the best-known ones carried out were by Sigmund Freud . He conducted very detailed investigations into the private lives of his patients in an attempt to both understand and help them overcome their illnesses.

Case studies provide rich qualitative data and have high levels of ecological validity. However, it is difficult to generalize from individual cases as each one has unique characteristics.

Correlational Studies

Correlation means association; it is a measure of the extent to which two variables are related. One of the variables can be regarded as the predictor variable with the other one as the outcome variable.

Correlational studies typically involve obtaining two different measures from a group of participants, and then assessing the degree of association between the measures. 

The predictor variable can be seen as occurring before the outcome variable in some sense. It is called the predictor variable, because it forms the basis for predicting the value of the outcome variable.

Relationships between variables can be displayed on a graph or as a numerical score called a correlation coefficient.

• If an increase in one variable tends to be associated with an increase in the other, then this is known as a positive correlation .
• If an increase in one variable tends to be associated with a decrease in the other, then this is known as a negative correlation .
• A zero correlation occurs when there is no relationship between variables.

After looking at the scattergraph, if we want to be sure that a significant relationship does exist between the two variables, a statistical test of correlation can be conducted, such as Spearman’s rho.

The test will give us a score, called a correlation coefficient . This is a value between 0 and 1, and the closer to 1 the score is, the stronger the relationship between the variables. This value can be both positive e.g. 0.63, or negative -0.63.

A correlation between variables, however, does not automatically mean that the change in one variable is the cause of the change in the values of the other variable. A correlation only shows if there is a relationship between variables.

Correlation does not always prove causation, as a third variable may be involved. 

Interview Methods

Interviews are commonly divided into two types: structured and unstructured.

A fixed, predetermined set of questions is put to every participant in the same order and in the same way. 

Responses are recorded on a questionnaire, and the researcher presets the order and wording of questions, and sometimes the range of alternative answers.

The interviewer stays within their role and maintains social distance from the interviewee.

There are no set questions, and the participant can raise whatever topics he/she feels are relevant and ask them in their own way. Questions are posed about participants’ answers to the subject

Unstructured interviews are most useful in qualitative research to analyze attitudes and values.

Though they rarely provide a valid basis for generalization, their main advantage is that they enable the researcher to probe social actors’ subjective point of view. 

Questionnaire Method

Questionnaires can be thought of as a kind of written interview. They can be carried out face to face, by telephone, or post.

The choice of questions is important because of the need to avoid bias or ambiguity in the questions, ‘leading’ the respondent or causing offense.

• Open questions are designed to encourage a full, meaningful answer using the subject’s own knowledge and feelings. They provide insights into feelings, opinions, and understanding. Example: “How do you feel about that situation?”
• Closed questions can be answered with a simple “yes” or “no” or specific information, limiting the depth of response. They are useful for gathering specific facts or confirming details. Example: “Do you feel anxious in crowds?”

Its other practical advantages are that it is cheaper than face-to-face interviews and can be used to contact many respondents scattered over a wide area relatively quickly.

Observations

There are different types of observation methods :

• Covert observation is where the researcher doesn’t tell the participants they are being observed until after the study is complete. There could be ethical problems or deception and consent with this particular observation method.
• Overt observation is where a researcher tells the participants they are being observed and what they are being observed for.
• Controlled : behavior is observed under controlled laboratory conditions (e.g., Bandura’s Bobo doll study).
• Natural : Here, spontaneous behavior is recorded in a natural setting.
• Participant : Here, the observer has direct contact with the group of people they are observing. The researcher becomes a member of the group they are researching.  
• Non-participant (aka “fly on the wall): The researcher does not have direct contact with the people being observed. The observation of participants’ behavior is from a distance

Pilot Study

A pilot  study is a small scale preliminary study conducted in order to evaluate the feasibility of the key s teps in a future, full-scale project.

A pilot study is an initial run-through of the procedures to be used in an investigation; it involves selecting a few people and trying out the study on them. It is possible to save time, and in some cases, money, by identifying any flaws in the procedures designed by the researcher.

A pilot study can help the researcher spot any ambiguities (i.e. unusual things) or confusion in the information given to participants or problems with the task devised.

Sometimes the task is too hard, and the researcher may get a floor effect, because none of the participants can score at all or can complete the task – all performances are low.

The opposite effect is a ceiling effect, when the task is so easy that all achieve virtually full marks or top performances and are “hitting the ceiling”.

Research Design

In cross-sectional research , a researcher compares multiple segments of the population at the same time

Sometimes, we want to see how people change over time, as in studies of human development and lifespan. Longitudinal research is a research design in which data-gathering is administered repeatedly over an extended period of time.

In cohort studies , the participants must share a common factor or characteristic such as age, demographic, or occupation. A cohort study is a type of longitudinal study in which researchers monitor and observe a chosen population over an extended period.

Triangulation means using more than one research method to improve the study’s validity.

Reliability

Reliability is a measure of consistency, if a particular measurement is repeated and the same result is obtained then it is described as being reliable.

• Test-retest reliability :  assessing the same person on two different occasions which shows the extent to which the test produces the same answers.
• Inter-observer reliability : the extent to which there is an agreement between two or more observers.

Meta-Analysis

A meta-analysis is a systematic review that involves identifying an aim and then searching for research studies that have addressed similar aims/hypotheses.

This is done by looking through various databases, and then decisions are made about what studies are to be included/excluded.

Strengths: Increases the conclusions’ validity as they’re based on a wider range.

Weaknesses: Research designs in studies can vary, so they are not truly comparable.

Peer Review

A researcher submits an article to a journal. The choice of the journal may be determined by the journal’s audience or prestige.

The journal selects two or more appropriate experts (psychologists working in a similar field) to peer review the article without payment. The peer reviewers assess: the methods and designs used, originality of the findings, the validity of the original research findings and its content, structure and language.

Feedback from the reviewer determines whether the article is accepted. The article may be: Accepted as it is, accepted with revisions, sent back to the author to revise and re-submit or rejected without the possibility of submission.

The editor makes the final decision whether to accept or reject the research report based on the reviewers comments/ recommendations.

Peer review is important because it prevent faulty data from entering the public domain, it provides a way of checking the validity of findings and the quality of the methodology and is used to assess the research rating of university departments.

Peer reviews may be an ideal, whereas in practice there are lots of problems. For example, it slows publication down and may prevent unusual, new work being published. Some reviewers might use it as an opportunity to prevent competing researchers from publishing work.

Some people doubt whether peer review can really prevent the publication of fraudulent research.

The advent of the internet means that a lot of research and academic comment is being published without official peer reviews than before, though systems are evolving on the internet where everyone really has a chance to offer their opinions and police the quality of research.

Types of Data

• Quantitative data is numerical data e.g. reaction time or number of mistakes. It represents how much or how long, how many there are of something. A tally of behavioral categories and closed questions in a questionnaire collect quantitative data.
• Qualitative data is virtually any type of information that can be observed and recorded that is not numerical in nature and can be in the form of written or verbal communication. Open questions in questionnaires and accounts from observational studies collect qualitative data.
• Primary data is first-hand data collected for the purpose of the investigation.
• Secondary data is information that has been collected by someone other than the person who is conducting the research e.g. taken from journals, books or articles.

Validity means how well a piece of research actually measures what it sets out to, or how well it reflects the reality it claims to represent.

Validity is whether the observed effect is genuine and represents what is actually out there in the world.

• Concurrent validity is the extent to which a psychological measure relates to an existing similar measure and obtains close results. For example, a new intelligence test compared to an established test.
• Face validity : does the test measure what it’s supposed to measure ‘on the face of it’. This is done by ‘eyeballing’ the measuring or by passing it to an expert to check.
• Ecological validit y is the extent to which findings from a research study can be generalized to other settings / real life.
• Temporal validity is the extent to which findings from a research study can be generalized to other historical times.

Features of Science

• Paradigm – A set of shared assumptions and agreed methods within a scientific discipline.
• Paradigm shift – The result of the scientific revolution: a significant change in the dominant unifying theory within a scientific discipline.
• Objectivity – When all sources of personal bias are minimised so not to distort or influence the research process.
• Empirical method – Scientific approaches that are based on the gathering of evidence through direct observation and experience.
• Replicability – The extent to which scientific procedures and findings can be repeated by other researchers.
• Falsifiability – The principle that a theory cannot be considered scientific unless it admits the possibility of being proved untrue.

Statistical Testing

A significant result is one where there is a low probability that chance factors were responsible for any observed difference, correlation, or association in the variables tested.

If our test is significant, we can reject our null hypothesis and accept our alternative hypothesis.

If our test is not significant, we can accept our null hypothesis and reject our alternative hypothesis. A null hypothesis is a statement of no effect.

In Psychology, we use p < 0.05 (as it strikes a balance between making a type I and II error) but p < 0.01 is used in tests that could cause harm like introducing a new drug.

A type I error is when the null hypothesis is rejected when it should have been accepted (happens when a lenient significance level is used, an error of optimism).

A type II error is when the null hypothesis is accepted when it should have been rejected (happens when a stringent significance level is used, an error of pessimism).

Ethical Issues

• Informed consent is when participants are able to make an informed judgment about whether to take part. It causes them to guess the aims of the study and change their behavior.
• To deal with it, we can gain presumptive consent or ask them to formally indicate their agreement to participate but it may invalidate the purpose of the study and it is not guaranteed that the participants would understand.
• Deception should only be used when it is approved by an ethics committee, as it involves deliberately misleading or withholding information. Participants should be fully debriefed after the study but debriefing can’t turn the clock back.
• All participants should be informed at the beginning that they have the right to withdraw if they ever feel distressed or uncomfortable.
• It causes bias as the ones that stayed are obedient and some may not withdraw as they may have been given incentives or feel like they’re spoiling the study. Researchers can offer the right to withdraw data after participation.
• Participants should all have protection from harm . The researcher should avoid risks greater than those experienced in everyday life and they should stop the study if any harm is suspected. However, the harm may not be apparent at the time of the study.
• Confidentiality concerns the communication of personal information. The researchers should not record any names but use numbers or false names though it may not be possible as it is sometimes possible to work out who the researchers were.

An official website of the United States government.

Here’s how you know

The .gov means it’s official. Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

The site is secure. The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

• American Job Centers
• Apprenticeship
• Demonstration Grants
• Farmworkers
• Federal Bonding Program
• Foreign Labor Certification
• Indians and Native Americans
• Job Seekers
• Layoffs and Rapid Response
• National Dislocated Worker Grants
• Older Workers
• Skills Training Grants
• Trade Adjustment Assistance
• Unemployment Insurance
• Workforce Innovation and Opportunity Act (WIOA)
• WIOA Adult Program
• Advisories and Directives
• Regulations
• Labor Surplus Area
• Performance
• Recovery-Ready Workplace Resource Hub
• Research and Evaluation
• ETA News Releases
• Updates for Workforce Professionals
• Regional Offices
• Freedom of Information Act
• Office of Apprenticeship
• Office of Foreign Labor Certification
• Office of Grants Management
• Office of Job Corps
• Office of Unemployment Insurance (1-877-S-2JOBS)

Employment Research in Brief: An Annotated Bibliography of ETA- and CEO-Sponsored Studies 2012–2016

Publication info, research methodology, country, state or territory, description, other products.

The U.S. Department of Labor (DOL) Employment and Training Administration (ETA) sponsors numerous research studies, evaluations, pilots, and demonstrations on a broad range of topics relevant to the agency’s mission. This annotated bibliography provides abstracts of impact evaluations and other systematic analyses funded by ETA and published on ETA’s Research Publication Database or DOL’s Chief Evaluation Office research page from 2012 through June 2016, as selected by researchers from Mathematica Policy Research with guidance from ETA staff. The summarized publications include research, evaluation, and demonstration reports, as well as other papers and sets of policy recommendations. Each abstract provides a brief overview of the intervention studied, the type of research, data sources, analytical methods, and findings. These publications were not reviewed for quality or strength of design, and their inclusion in this bibliography does not imply any endorsement of their design, methods, or content by ETA or Mathematica.

This bibliography is organized along eight major topic areas: training programs under the Workforce Investment Act (WIA); training programs other than WIA; services to military personnel, veterans, or military spouses; population-specific programs; trade adjustment assistance; unemployment insurance; labor market information (LMI); and regional economic development. Within some topics, publications are categorized under more specific sub-topic headings. Publications related to more than one topic are summarized in the section where they are most relevant. For publications that do not cover a specific program area or grant program, the annotated bibliography classifies them according to the most relevant topic area and describes the logic for its inclusion in the topic summary.