Home » Education » Difference Between Research Methods and Research Design
Difference Between Research Methods and Research Design
Main difference – research methods vs research design.
Research methods and research design are terms you must know before starting a research project. Both these elements are essential to the success of a research project. However, many new researchers assume research methods and research design to be the same. Research design is the overall structure of a research project. For example, if you are building a house, you need to have a good idea about what kind of house you are going to build; you cannot do anything without knowing this. A research design is the same – you cannot proceed with the research study without having a proper research design. Research methods are the procedures that are used to collect and analyze data. Thus, the main difference between research methods and research design is that research design is the overall structure of the research study whereas research methods are the various processes, procedures, and tools used to collect and analyze data.
1. What are Research Methods? – Definition, Features, Characteristics
2. What is Research Design? – Definition, Features, Characteristics
What are Research Methods
Research methods are concerned with the various research processes, procedures, and tools – techniques of gathering information, various ways of analyzing them. Research problems can be categorized into two basic sections: qualitative research and quantitative research . Researchers may use one or both of these methods (mixed method) in their research studies. The type of research method you choose would depend on your research questions or problem and research design.
The main aim of a research study is to produce new knowledge or deepen the existing understanding of a field. This can be done by three forms.
Exploratory research – identifies and outlines a problem or question
Constructive research – tests theories and suggests solutions to a problem or question
Empirical research – tests the viability of a solution using empirical evidence
What is a Research Design
Research design is the overall plan or structure of the research project. It indicates what type of study is planned and what kind of results are expected from this project. It specifically focuses on the final results of the research. It is almost impossible to proceed with a research project without a proper research design. The main function of a research design is to make sure that the information gathered throughout the research answers the initial question unambiguously. In other words, the final outcomes and conclusions of the research must correspond with the research problems chosen at the beginning of the research.
A research design can be,
Descriptive (case study, survey, naturalistic observation, etc.)
Correlational (case-control study, observational study, etc.)
Experimental (experiments)
Semi-experimental (field experiment, quasi-experiment, etc.)
Meta-analytic (meta-analysis)
Review ( literature review , systematic review)
Research Methods : Research methods are the procedures that will be used to collect and analyze data.
Research Design: Research design is the overall structure of the research.
Research Methods: Research methods focus on what type of methods are more suitable to collect and analyze the evidence we need.
Research Design: Research design focuses on what type of study is planned and what kind of results are expected from the research.
Research Methods: Research methods depend on the research design.
Research Design: Research design is based on the research question or problem.
De Vaus, D. A. 2001. Research design in social research. London: SAGE.
Image Courtesy:
“The Scientific Method” By CK-12 Foundation – File:High_School_Chemistry.pdf, page 23 (CC BY-SA 3.0) via Commons Wikimedia
“How to do ethnography” by Sam Ladner (CC BY 2.0) via Flickr
About the Author: Hasa
Hasanthi is a seasoned content writer and editor with over 8 years of experience. Armed with a BA degree in English and a knack for digital marketing, she explores her passions for literature, history, culture, and food through her engaging and informative writing.
You May Also Like These
Leave a reply cancel reply.
Research Methods vs. Research Design — What's the Difference?
Difference Between Research Methods and Research Design
Table of contents, key differences, comparison chart, interdependence, compare with definitions, research methods, research design, common curiosities, are surveys and interviews considered research methods, what's the primary difference between research methods and research design, what's an example of research design, which comes first: choosing research methods or formulating research design, is research design decided before selecting research methods, can a study have multiple research methods, why is research design important, can research design impact the study's outcomes, are research methods specific to disciplines, are case studies a research method or research design, how does one decide on research methods, what's the relationship between hypothesis and research design, can research design change during a study, can one research design utilize both qualitative and quantitative methods, are there standard research methods and designs for all studies, share your discovery.
Author Spotlight
Popular Comparisons
Trending Comparisons
New Comparisons
Trending Terms
Research Methods vs. Research Design: What's the Difference?
Key Differences
Comparison chart, flexibility, research methods and research design definitions, research methods, research design, what is a research design, how do research methods differ from research design, are research methods dependent on research design, what are research methods, can research design change during a study, is research design the same in every field, do qualitative studies need research design, is a case study a method or design, what is an example of a research method, what's an example of research design, can research design be experimental, can research methods be qualitative and quantitative, how does research design influence conclusions, can research design be theoretical, can one study have multiple research methods, can research design help in hypothesis testing, does research design affect data analysis, are research methods always empirical, do all research methods require data collection, how important is research design in a study.
Trending Comparisons
Popular Comparisons
New Comparisons
- University Libraries
- Research Guides
- Topic Guides
- Research Methods Guide
- Research Design & Method
Research Methods Guide: Research Design & Method
- Introduction
- Survey Research
- Interview Research
- Data Analysis
- Resources & Consultation
Tutorial Videos: Research Design & Method
Research Methods (sociology-focused)
Qualitative vs. Quantitative Methods (intro)
Qualitative vs. Quantitative Methods (advanced)
FAQ: Research Design & Method
What is the difference between Research Design and Research Method?
Research design is a plan to answer your research question. A research method is a strategy used to implement that plan. Research design and methods are different but closely related, because good research design ensures that the data you obtain will help you answer your research question more effectively.
Which research method should I choose ?
It depends on your research goal. It depends on what subjects (and who) you want to study. Let's say you are interested in studying what makes people happy, or why some students are more conscious about recycling on campus. To answer these questions, you need to make a decision about how to collect your data. Most frequently used methods include:
- Observation / Participant Observation
- Focus Groups
- Experiments
- Secondary Data Analysis / Archival Study
- Mixed Methods (combination of some of the above)
One particular method could be better suited to your research goal than others, because the data you collect from different methods will be different in quality and quantity. For instance, surveys are usually designed to produce relatively short answers, rather than the extensive responses expected in qualitative interviews.
What other factors should I consider when choosing one method over another?
Time for data collection and analysis is something you want to consider. An observation or interview method, so-called qualitative approach, helps you collect richer information, but it takes time. Using a survey helps you collect more data quickly, yet it may lack details. So, you will need to consider the time you have for research and the balance between strengths and weaknesses associated with each method (e.g., qualitative vs. quantitative).
- << Previous: Introduction
- Next: Survey Research >>
- Last Updated: Aug 21, 2023 10:42 AM
An official website of the United States government
Official websites use .gov A .gov website belongs to an official government organization in the United States.
Secure .gov websites use HTTPS A lock ( Lock Locked padlock icon ) or https:// means you've safely connected to the .gov website. Share sensitive information only on official, secure websites.
- Publications
- Account settings
- Advanced Search
- Journal List
Study designs: Part 1 – An overview and classification
Priya ranganathan, rakesh aggarwal.
- Author information
- Copyright and License information
Address for correspondence: Dr. Priya Ranganathan, Department of Anaesthesiology, Tata Memorial Centre, Ernest Borges Road, Parel, Mumbai - 400 012, Maharashtra, India. E-mail: [email protected]
This is an open access journal, and articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms.
There are several types of research study designs, each with its inherent strengths and flaws. The study design used to answer a particular research question depends on the nature of the question and the availability of resources. In this article, which is the first part of a series on “study designs,” we provide an overview of research study designs and their classification. The subsequent articles will focus on individual designs.
Keywords: Epidemiologic methods, research design, research methodology
INTRODUCTION
Research study design is a framework, or the set of methods and procedures used to collect and analyze data on variables specified in a particular research problem.
Research study designs are of many types, each with its advantages and limitations. The type of study design used to answer a particular research question is determined by the nature of question, the goal of research, and the availability of resources. Since the design of a study can affect the validity of its results, it is important to understand the different types of study designs and their strengths and limitations.
There are some terms that are used frequently while classifying study designs which are described in the following sections.
A variable represents a measurable attribute that varies across study units, for example, individual participants in a study, or at times even when measured in an individual person over time. Some examples of variables include age, sex, weight, height, health status, alive/dead, diseased/healthy, annual income, smoking yes/no, and treated/untreated.
Exposure (or intervention) and outcome variables
A large proportion of research studies assess the relationship between two variables. Here, the question is whether one variable is associated with or responsible for change in the value of the other variable. Exposure (or intervention) refers to the risk factor whose effect is being studied. It is also referred to as the independent or the predictor variable. The outcome (or predicted or dependent) variable develops as a consequence of the exposure (or intervention). Typically, the term “exposure” is used when the “causative” variable is naturally determined (as in observational studies – examples include age, sex, smoking, and educational status), and the term “intervention” is preferred where the researcher assigns some or all participants to receive a particular treatment for the purpose of the study (experimental studies – e.g., administration of a drug). If a drug had been started in some individuals but not in the others, before the study started, this counts as exposure, and not as intervention – since the drug was not started specifically for the study.
Observational versus interventional (or experimental) studies
Observational studies are those where the researcher is documenting a naturally occurring relationship between the exposure and the outcome that he/she is studying. The researcher does not do any active intervention in any individual, and the exposure has already been decided naturally or by some other factor. For example, looking at the incidence of lung cancer in smokers versus nonsmokers, or comparing the antenatal dietary habits of mothers with normal and low-birth babies. In these studies, the investigator did not play any role in determining the smoking or dietary habit in individuals.
For an exposure to determine the outcome, it must precede the latter. Any variable that occurs simultaneously with or following the outcome cannot be causative, and hence is not considered as an “exposure.”
Observational studies can be either descriptive (nonanalytical) or analytical (inferential) – this is discussed later in this article.
Interventional studies are experiments where the researcher actively performs an intervention in some or all members of a group of participants. This intervention could take many forms – for example, administration of a drug or vaccine, performance of a diagnostic or therapeutic procedure, and introduction of an educational tool. For example, a study could randomly assign persons to receive aspirin or placebo for a specific duration and assess the effect on the risk of developing cerebrovascular events.
Descriptive versus analytical studies
Descriptive (or nonanalytical) studies, as the name suggests, merely try to describe the data on one or more characteristics of a group of individuals. These do not try to answer questions or establish relationships between variables. Examples of descriptive studies include case reports, case series, and cross-sectional surveys (please note that cross-sectional surveys may be analytical studies as well – this will be discussed in the next article in this series). Examples of descriptive studies include a survey of dietary habits among pregnant women or a case series of patients with an unusual reaction to a drug.
Analytical studies attempt to test a hypothesis and establish causal relationships between variables. In these studies, the researcher assesses the effect of an exposure (or intervention) on an outcome. As described earlier, analytical studies can be observational (if the exposure is naturally determined) or interventional (if the researcher actively administers the intervention).
Directionality of study designs
Based on the direction of inquiry, study designs may be classified as forward-direction or backward-direction. In forward-direction studies, the researcher starts with determining the exposure to a risk factor and then assesses whether the outcome occurs at a future time point. This design is known as a cohort study. For example, a researcher can follow a group of smokers and a group of nonsmokers to determine the incidence of lung cancer in each. In backward-direction studies, the researcher begins by determining whether the outcome is present (cases vs. noncases [also called controls]) and then traces the presence of prior exposure to a risk factor. These are known as case–control studies. For example, a researcher identifies a group of normal-weight babies and a group of low-birth weight babies and then asks the mothers about their dietary habits during the index pregnancy.
Prospective versus retrospective study designs
The terms “prospective” and “retrospective” refer to the timing of the research in relation to the development of the outcome. In retrospective studies, the outcome of interest has already occurred (or not occurred – e.g., in controls) in each individual by the time s/he is enrolled, and the data are collected either from records or by asking participants to recall exposures. There is no follow-up of participants. By contrast, in prospective studies, the outcome (and sometimes even the exposure or intervention) has not occurred when the study starts and participants are followed up over a period of time to determine the occurrence of outcomes. Typically, most cohort studies are prospective studies (though there may be retrospective cohorts), whereas case–control studies are retrospective studies. An interventional study has to be, by definition, a prospective study since the investigator determines the exposure for each study participant and then follows them to observe outcomes.
The terms “prospective” versus “retrospective” studies can be confusing. Let us think of an investigator who starts a case–control study. To him/her, the process of enrolling cases and controls over a period of several months appears prospective. Hence, the use of these terms is best avoided. Or, at the very least, one must be clear that the terms relate to work flow for each individual study participant, and not to the study as a whole.
Classification of study designs
Figure 1 depicts a simple classification of research study designs. The Centre for Evidence-based Medicine has put forward a useful three-point algorithm which can help determine the design of a research study from its methods section:[ 1 ]
Classification of research study designs
Does the study describe the characteristics of a sample or does it attempt to analyze (or draw inferences about) the relationship between two variables? – If no, then it is a descriptive study, and if yes, it is an analytical (inferential) study
If analytical, did the investigator determine the exposure? – If no, it is an observational study, and if yes, it is an experimental study
If observational, when was the outcome determined? – at the start of the study (case–control study), at the end of a period of follow-up (cohort study), or simultaneously (cross sectional).
In the next few pieces in the series, we will discuss various study designs in greater detail.
Financial support and sponsorship
Conflicts of interest.
There are no conflicts of interest.
- 1. Centre for Evidence-Based Medicine. Study Designs. 2016. [Last accessed on 2018 Sep 04]. Available from: https://www.cebm.net/2014/04/study-designs/
- View on publisher site
- PDF (482.1 KB)
- Collections
Similar articles
Cited by other articles, links to ncbi databases.
- Download .nbib .nbib
- Format: AMA APA MLA NLM
Add to Collections
- Privacy Policy
Home » Research Design – Types, Methods and Examples
Research Design – Types, Methods and Examples
Table of Contents
Research design is the framework or blueprint that guides the collection, measurement, and analysis of data in a study. It provides a structured approach to answering research questions, ensuring that the study’s goals are met in an organized, reliable, and valid manner. Research design is crucial as it directly impacts the study’s quality, credibility, and findings.
Research Design
Research design is a systematic plan outlining how a study is conducted, including methods of data collection, procedures, and tools for analysis. It aligns the research question with the appropriate methods, ensuring that the study remains focused, feasible, and ethically sound.
Purpose of Research Design :
- Provides a structured approach for data collection and analysis.
- Ensures consistency in the research process.
- Enhances the reliability and validity of findings.
- Minimizes bias by defining clear procedures and controls.
Types of Research Design
Research designs are typically classified into three main types: qualitative , quantitative , and mixed methods . Each type serves different purposes and is selected based on the nature of the research question, objectives, and resources.
1. Qualitative Research Design
- Definition : Qualitative research focuses on exploring complex phenomena, understanding individual experiences, and generating insights into social or human behavior. It often involves non-numerical data, such as interviews, observations, and textual analysis.
- Case Study : In-depth analysis of a specific individual, group, or event.
- Ethnography : Study of cultural groups and practices within their natural setting.
- Grounded Theory : Development of a theory based on observed data.
- Phenomenology : Exploration of lived experiences and perceptions.
- Example : A case study on how remote work impacts employee well-being by conducting interviews with employees from various industries to gather personal insights and themes.
2. Quantitative Research Design
- Definition : Quantitative research is focused on quantifying variables and using statistical analysis to test hypotheses. It often involves large samples, standardized data collection tools, and numerical data.
- Descriptive : Provides a summary of characteristics or behaviors within a population (e.g., surveys, cross-sectional studies).
- Correlational : Examines relationships between two or more variables without manipulating them.
- Experimental : Involves manipulation of variables to establish cause-and-effect relationships.
- Quasi-Experimental : Similar to experimental design but lacks random assignment.
- Example : An experimental study investigating the effect of a new teaching method on student test scores, with one group using the new method and a control group using traditional methods.
3. Mixed-Methods Research Design
- Definition : Mixed-methods design combines both qualitative and quantitative approaches in a single study, providing a more comprehensive analysis of the research question.
- Explanatory Sequential Design : Quantitative data is collected and analyzed first, followed by qualitative data to explain or expand on the quantitative findings.
- Exploratory Sequential Design : Qualitative data is collected first to explore a phenomenon, followed by quantitative data to confirm or generalize findings.
- Convergent Design : Both qualitative and quantitative data are collected simultaneously and compared to produce integrated insights.
- Example : A study on customer satisfaction, first surveying customers to get quantitative data and then conducting follow-up interviews to explore specific customer feedback in detail.
Methods in Research Design
Various methods are used within research designs to collect and analyze data. Each method is selected based on the research question, data type, and study objectives.
1. Survey and Questionnaire
- Definition : Surveys and questionnaires are tools for collecting standardized data from large samples. They are often used in descriptive and correlational studies.
- Develop questions related to the research objectives.
- Distribute to participants via online platforms, paper forms, or face-to-face interviews.
- Analyze results using statistical software for quantitative insights.
- Example : A survey assessing consumer satisfaction with a new product by collecting data on factors such as ease of use, design, and performance.
2. Interview
- Definition : Interviews are qualitative methods that gather in-depth information through direct questioning. They can be structured, semi-structured, or unstructured.
- Design interview questions that align with the research goals.
- Conduct interviews in person, via phone, or virtually, recording responses for analysis.
- Use thematic or content analysis to interpret findings.
- Example : Conducting semi-structured interviews with educators to explore their experiences with online teaching during the COVID-19 pandemic.
3. Observation
- Definition : Observation involves recording behaviors, actions, or events as they occur naturally. It is often used in ethnographic and case study designs.
- Choose between participant (researcher actively engages) or non-participant observation.
- Develop an observation checklist or guide for consistency.
- Record findings, often through field notes or video, and analyze for patterns.
- Example : Observing interactions in a classroom setting to study student engagement with different teaching methods.
4. Experiment
- Definition : Experiments involve manipulating variables to examine cause-and-effect relationships. They are commonly used in scientific and clinical research.
- Randomly assign participants to control and experimental groups.
- Manipulate the independent variable and measure changes in the dependent variable.
- Use statistical analysis to interpret results.
- Example : A laboratory experiment testing the effectiveness of a new drug on blood pressure by comparing outcomes in treated and untreated groups.
5. Case Study
- Definition : A case study is an in-depth investigation of an individual, group, organization, or event to explore underlying principles and patterns.
- Select a case that represents the phenomenon of interest.
- Use various data sources, including interviews, documents, and observations.
- Analyze for unique insights and apply findings to broader contexts.
- Example : A case study on the strategies a small business used to survive during an economic recession.
Examples of Research Design Applications
- Design : Quantitative, using a survey.
- Goal : To understand consumer preferences for eco-friendly packaging.
- Method : Survey distributed to a random sample of consumers asking about purchasing behaviors and attitudes toward sustainability.
- Design : Experimental, quantitative.
- Goal : To study the effect of sleep deprivation on cognitive performance.
- Method : Participants are randomly assigned to sleep-deprived and control groups, with cognitive performance measured using standardized tests.
- Design : Convergent mixed-methods.
- Goal : To evaluate the effectiveness of a new curriculum on student learning.
- Method : Collect quantitative data from student test scores and qualitative data from teacher interviews to provide a comprehensive evaluation.
- Design : Qualitative, ethnography.
- Goal : To study cultural practices in rural communities.
- Method : The researcher spends an extended period within the community, observing daily activities and conducting informal interviews.
Tips for Choosing the Right Research Design
- Align with Research Question : Choose a design that directly addresses the research question and allows for valid answers.
- Consider Data Type : Decide whether the research requires quantitative (numerical) or qualitative (textual or observational) data.
- Assess Feasibility : Take into account time, resources, and access to participants when selecting a design.
- Ensure Ethical Compliance : Make sure the design is ethically sound, with informed consent and confidentiality for participants.
- Anticipate Limitations : Be aware of potential limitations in each design type and how they might affect your findings.
Challenges in Research Design
- Sample Selection Bias : Choosing a non-representative sample can lead to biased results and impact the study’s validity.
- Data Collection Constraints : Limitations in resources or participant access may affect data quality.
- Ethical Concerns : Research involving vulnerable populations or sensitive topics requires careful ethical consideration.
- External Validity : Some designs, like case studies, may have limited generalizability beyond the studied context.
Research design is a critical component of the research process, as it determines how a study is structured, conducted, and analyzed. By choosing the appropriate design—whether qualitative, quantitative, or mixed methods—researchers ensure that they answer their questions effectively, producing credible, reliable, and valid results. A solid research design aligns with the study’s objectives, considers resources and ethical issues, and anticipates limitations to provide meaningful contributions to knowledge.
- Creswell, J. W., & Creswell, J. D. (2018). Research Design: Qualitative, Quantitative, and Mixed Methods Approaches . SAGE Publications.
- Trochim, W. M., & Donnelly, J. P. (2008). The Research Methods Knowledge Base . Cengage Learning.
- Saunders, M., Lewis, P., & Thornhill, A. (2019). Research Methods for Business Students . Pearson Education.
- Yin, R. K. (2017). Case Study Research and Applications: Design and Methods . SAGE Publications.
About the author
Muhammad Hassan
Researcher, Academic Writer, Web developer
You may also like
Institutional Review Board – Application Sample...
Research Questions – Types, Examples and Writing...
How to Cite Research Paper – All Formats and...
Research Contribution – Thesis Guide
Informed Consent in Research – Types, Templates...
Conceptual Framework – Types, Methodology and...
Research Design vs. Research Methodology
What's the difference.
Research design refers to the overall plan or structure of a research study, outlining the methods and procedures that will be used to collect and analyze data. It includes decisions about the research questions, sampling techniques, data collection methods, and data analysis procedures. On the other hand, research methodology refers to the theoretical framework and principles that guide the research process. It involves the philosophical assumptions, research paradigms, and approaches that inform the design and execution of a study. While research design focuses on the practical aspects of conducting research, research methodology provides the theoretical foundation for the study.
Further Detail
Research design and research methodology are two important components of any research study. Research design refers to the overall plan or strategy that outlines how the research will be conducted, while research methodology refers to the specific techniques and procedures used to collect and analyze data. In other words, research design is the blueprint for the study, while research methodology is the implementation of that blueprint.
The purpose of research design is to ensure that the study is conducted in a systematic and logical manner, with clear objectives and a well-defined structure. It helps researchers to plan and organize their study, ensuring that they collect relevant data and answer their research questions effectively. On the other hand, research methodology focuses on the specific techniques and tools that will be used to gather and analyze data. It provides a detailed roadmap for how the research will be carried out, from data collection to data analysis.
Research design typically includes several key components, such as the research question, hypothesis, variables, sampling strategy, data collection methods, and data analysis techniques. These components help to guide the research process and ensure that the study is conducted in a rigorous and systematic manner. Research methodology, on the other hand, includes specific techniques and procedures for data collection, such as surveys, interviews, experiments, and observations, as well as statistical tools for data analysis, such as regression analysis, factor analysis, and chi-square tests.
Flexibility
Research design is often more rigid and structured, as it outlines the overall plan for the study and sets the parameters for data collection and analysis. It provides a framework within which the research must be conducted, ensuring that the study is focused and well-organized. Research methodology, on the other hand, allows for more flexibility and adaptability, as it involves the specific techniques and tools that can be adjusted or modified based on the needs of the study.
Interdependence
Research design and research methodology are closely interrelated and dependent on each other. A well-designed research study will have a clear and logical methodology that aligns with the research objectives and ensures that the data collected is valid and reliable. Conversely, a strong research methodology is built on a solid research design that provides a clear framework for data collection and analysis. Without a well-designed research study, the methodology may lack direction and coherence, while without a robust methodology, the research design may not be effectively implemented.
Both research design and research methodology are crucial aspects of any research study, as they help to ensure that the study is conducted in a rigorous and systematic manner. A well-designed research study with a clear methodology is more likely to produce valid and reliable results, which can be used to draw meaningful conclusions and make informed decisions. By carefully considering both research design and research methodology, researchers can enhance the quality and credibility of their research findings.
Comparisons may contain inaccurate information about people, places, or facts. Please report any issues.
IMAGES
COMMENTS
Jan 12, 2017 · Research methods are the procedures that are used to collect and analyze data. Thus, the main difference between research methods and research design is that research design is the overall structure of the research study whereas research methods are the various processes, procedures, and tools used to collect and analyze data. 1.
Study Design. Study design refers to the overall plan or structure of a research study, including the sampling, data collection, and analysis procedures. It outlines how the research will be conducted and how the data will be gathered and interpreted to address the research questions.
What's the Difference? Research design and research methods are two essential components of any research study. Research design refers to the overall plan or structure of the study, outlining the objectives, research questions, and the overall approach to be used.
Dec 8, 2023 · It's crucial to differentiate between Research Methods and Research Design, as the latter provides context and rationale for the former. While methods are about "how" data is collected, Research Design dictates "why" those methods are chosen and "what" the study aims to achieve.
Dec 23, 2023 · Research methods detail the nuts and bolts of data gathering, like sampling methods and data analysis techniques. Research design addresses broader questions like why a particular method is chosen and how it fits into the overall study strategy. Both are integral to the scientific rigour and credibility of research.
Aug 21, 2023 · What is the difference between Research Design and Research Method? Research design is a plan to answer your research question. A research method is a strategy used to implement that plan. Research design and methods are different but closely related, because good research design ensures that the data you obtain will help you answer your ...
The type of study design used to answer a particular research question is determined by the nature of question, the goal of research, and the availability of resources. Since the design of a study can affect the validity of its results, it is important to understand the different types of study designs and their strengths and limitations.
Mar 26, 2024 · Research design is a critical component of the research process, as it determines how a study is structured, conducted, and analyzed. By choosing the appropriate design—whether qualitative, quantitative, or mixed methods—researchers ensure that they answer their questions effectively, producing credible, reliable, and valid results.
2 RESEARCH APPROACH AND DESIGN . 2.1 INTRODUCTION . The purpose of this chapter is to describe the research design selected for the study. The chapter not only gives the actual research design, but also explains the rationale or approach that guided the decisions that were made in order to arrive at the specific design.
Research design and research methodology are two important components of any research study. Research design refers to the overall plan or strategy that outlines how the research will be conducted, while research methodology refers to the specific techniques and procedures used to collect and analyze data.