Yahoo Canada Web Search

Search results

  1. People also ask

  2. May 4, 2022 · Step 2: Choose your data collection method. Based on the data you want to collect, decide which method is best suited for your research. Experimental research is primarily a quantitative method. Interviews, focus groups, and ethnographies are qualitative methods.

  3. Jul 24, 2019 · The first step is to ascertain whether case study is the most suitable choice as a method. Methods are “techniques for gathering evidence” ( Harding, 1986 ) or “procedures, tools, and techniques” of research ( Schwandt, 2001 ).

    • Yasir Rashid, Ammar Rashid, Muhammad Akib Warraich, Sana Sameen Sabir, Ansar Waseem
    • 2019
  4. Feb 8, 2021 · Case study methodology can entail the study of one or more "cases," that could be described as instances, examples, or settings where the problem or phenomenon can be examined. The researcher is tasked with defining the parameters of the case, that is, what is included and excluded.

  5. Mar 26, 2024 · The data collection method should be selected based on the research questions and the nature of the case study phenomenon. Analyze the data: The data collected from the case study should be analyzed using various techniques, such as content analysis, thematic analysis, or grounded theory.

  6. May 8, 2019 · A case study is an appropriate research design when you want to gain concrete, contextual, in-depth knowledge about a specific real-world subject. It allows you to explore the key characteristics, meanings, and implications of the case.

  7. The design process for case studies involves deciding whether the unit of analysis for the study will be an individual case (for example, a person or organization) or multiple cases. Stake (2005) identifies three types of case study: Intrinsic, to better understand a particular case.

  8. Mar 21, 2023 · The guide provides details of different data collection methods before providing an overview of the processes and steps to ensure a robust study is conducted. The guide concludes with a brief overview of constructing validity through data triangulation and ensuring rigour.