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A multiple-case design is a case study strategy that involves more than one case studied concurrently for the explicit purpose of comparison. According to Yin (2018), a small number of cases are specifically chosen for use in multiple-case study designs because they are expected to produce similar findings, akin to replication in experimental research.
- Step 1: Consider Your Aims and Approach
- Step 2: Choose A Type of Research Design
- Step 3: Identify Your Population and Sampling Method
- Step 4: Choose Your Data Collection Methods
- Step 5: Plan Your Data Collection Procedures
- Step 6: Decide on Your Data Analysis Strategies
- Other Interesting Articles
Before you can start designing your research, you should already have a clear idea of the research question you want to investigate. There are many different ways you could go about answering this question. Your research design choices should be driven by your aims and priorities—start by thinking carefully about what you want to achieve. The first...
Within both qualitative and quantitative approaches, there are several types of research design to choose from. Each type provides a framework for the overall shape of your research.
Your research design should clearly define who or what your research will focus on, and how you’ll go about choosing your participants or subjects. In research, apopulation is the entire group that you want to draw conclusions about, while a sampleis the smaller group of individuals you’ll actually collect data from.
Data collection methods are ways of directly measuring variables and gathering information. They allow you to gain first-hand knowledge and original insights into your research problem. You can choose just one data collection method, or use several methods in the same study.
As well as deciding on your methods, you need to plan exactly how you’ll use these methods to collect data that’s consistent, accurate, and unbiased. Planning systematic procedures is especially important in quantitative research, where you need to precisely define your variables and ensure your measurements are high in reliability and validity.
On its own, raw data can’t answer your research question. The last step of designing your research is planning how you’ll analyze the data.
If you want to know more about the research process, methodology, research bias, or statistics, make sure to check out some of our other articles with explanations and examples.
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 days ago · The research design refers to the overall strategy and analytical approach that you have chosen in order to integrate, in a coherent and logical way, the different components of the study, thus ensuring that the research problem will be thoroughly investigated. It constitutes the blueprint for the collection, measurement, and interpretation of information and/or data.
- Robert V. Labaree
- 2009
May 5, 2022 · Step 2: Choose a type of research design. Within both qualitative and quantitative approaches, there are several types of research design to choose from. Each type provides a framework for the overall shape of your research. Types of quantitative research designs. Quantitative designs can be split into four main types.
- 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 r...
- Operationalisation means turning abstract conceptual ideas into measurable observations. For example, the concept of social anxiety isn’t directly...
- 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 hypo...
In clinical research, our aim is to design a study, which would be able to derive a valid and meaningful scientific conclusion using appropriate statistical methods that can be translated to the “real world” setting.1 Before choosing a study design, one must establish aims and objectives of the study, and choose an appropriate target population that is most representative of the population ...
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Jan 4, 2024 · For some conclusions, more than just one research design might qualify. The choices about the design you make also depend on your priorities in the study and usually involve tradeoffs. An ideal research design in one area (e.g., internal validity) might be weaker in another (e.g., external validity) and vice versa.
