Discussion: Reliability and Validity, business & finance homework help

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A key difference between qualitative and quantitative research is the concept of reliability and validity. The analogous criteria for qualitative studies are dependability, credibility, transferability, and confirmability. These criteria are not measurable and need to be established using qualitative methods, such as member checking and triangulation (data triangulation, investigator triangulation, theoretical triangulation, and methodological triangulation).

To prepare for this Discussion, review Figure 2.3, “Case Study Tactics for Four Design Tests” on page 45 of Yin (2014), as well as Table 5.3, “Threats to Reliability” on page 203 of Saunders, Lewis, and Thornhill (2015), and consider the different data quality issues that can arise within the doctoral research process. Be sure to take into consideration such concerns as credibility, transferability, dependability, and confirmability.

By Day 3

Post an analysis of reliability and validity within the context of qualitative research data analysis. In your analysis, do the following:

  • Identify sources for data quality issues that could negatively impact a doctoral research study.
  • Explain the importance of reliability and validity within a DBA doctoral research study.
  • Explain how reliability and validity can be achieved within the doctoral research process.

Be sure to support your work with a minimum of two specific citations from this week’s Learning Resources and one or more additional scholarly sources.

Fusch, P., & Ness, L. (2015). Are we there yet? Data saturation in qualitative research. The Qualitative Report, 20(9), 1408–1416. Retrieved from http://tqr.nova.edu/

Saunders, M. N. K., Lewis, P., & Thornhill, A. (2015). Research methods for business students (7th ed.). Essex, England: Pearson Education Unlimited.

  • Chapter 5, Section 5.8, “Establishing the Quality of the Research Design” (pp. 201–207)
  • Chapter 10, Section 10.4, “Data Quality Issues Associated with Semi-Structured and In-Depth Interviews” (pp. 396–401)

Yin, R. K. (2014). Case study research: Design and methods (5th ed.). Thousand Oaks, CA: Sage.

  • Chapter 2, “Criteria for Judging the Quality of Research Designs” (pp. 45–48)
  • Chapter 2, “Case Study Research Designs” (pp. 49–62)
  • Chapter 3, “Preparation and Training for a Specific Case Study” (pp. 77–83)
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