Objectives -- After completing this module, you will be able to:

  • Read, understand, and explain to others the results of qualitative data analyses
  • Decide if a researcher's approach to qualitative data analysis was appropriate, given the design, sampling approach and nature of the data s/he collected
  • Select a qualitative data analysis approach that is appropriate for your own work

Class Preparation & Participation

Key concepts in qualitative data analysis from a design perspective?

You will partner with one other student this week and the two of you will select ONE of the readings listed below. Pick your partner and select your desired reading as soon as possible. Only two people -- two partners -- can report on each of these materials. Post your names and choice to the Week 09 discussion board (October 26). Do NOT try to prepare your comments without consulting the Learning Guide for this week. There is a separate guide for each of these articles -- each one included in the Learning Guide document. You will save yourself a LOT of time if you use the guide. Use the learning guide to focus your comments. The questions point to the main ideas in each material that I want you to understand and apply. Also provide your assessment of the most important points in the readings -- what you found most useful or interesting. Post the summary on the discussion board for Week 09 by 6:30 on October 26 -- in time to be available for our class discussion.

Astroth, K.S. & Chung, S.Y. (2018) Focusing on the fundamentals: Reading qualitative research with a critical eye. Continuing Nursing Education 45(4), 381-386. e-reserve

Belcher, B.M., Rasmussen, K.E., Kemshaw, M.R. & Zornes, D.A. (2016) Defining and assessing research quality in a transdisciplinary context. Research Evaluation 25(1):1-17. doi:10.1093/reseval/rvv025 e-reserve

Northcutt, N. & McCoy, D. (2004). Comparisons, interpretations, and theories: Some examples. In N. Northcutt & D. McCoy, Interactive Qualitative Analysis, pp. 394-424, Sage Publications, Thousand Oaks, CA. e-reserve

Patton, M.Q. (2002) Analysis, interpretation and reporting. Pp. 462-481 in M.Q. Patton, Qualitative Research & Evaluation Methods. Sage Publications, Thousand Oaks, CA. e-reserve

Saini, M. & Shlonsky, A. (2012) Appraising the evidence of qualitative studies. Pp. 112-139 in M. Saini & A. Shlonsky, Systematic Synthesis of Qualitative Research. Oxford University Press, New York. e-reserve

There is a separate learning guide for each reading this week. Look at the guide for my comments and read my comments first.

Learning Guide: Qualitative Data Analysis

Comments about Qualitative Data Analysis

Topic 2: How do you "do" qualitative data analysis?

Bazeley, Pat. (2013) Ch. 2. Designing for Analysis in Qualitative Data Analysis, pp. 32-61. e-reserve. REQUIRED READING FOR EVERYONE

Topic 3: A more sophisticated look at what you can and cannot do with qualitative data analysis -- LOTS of room for debate in the research methods community.

Ratcliff, D. Methods of data analysis in qualitative research. Brief overview of some approaches to QDA.