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

Preparation for October 12 Class Session

Topic 1: 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. This is a step-by-step explanation of the basic procedures used in most qualitative data analysis.

Comments about Qualitative Data Analysis. This is my contribution, not elaborate but does cover some main points.

Ratcliff, D. Methods of data analysis in qualitative research. Brief overview of some approaches to QDA. QUICK TO READ, EASY TO UNDERSTAND. You can get an idea of the many approaches which may help you select an article for the October 13 post and the October 14 brief presentation in class.

Preparation for October 14 Class Session

Topic 2: The Many Ways of Using Qualitative Data Analysis and Assessing the Quality of Qualitative Data Analysis

Pick ONE of the materials listed below for our October 14 (Friday) class meeting. Prepare a brief presentation - 5 minutes maximum, followed by a maximum of 5 minutes of questions and responses. Post your choice to the Week 8 discussion board as soon as possible. Up to 2 people (no more) can select a given resource. The first two people who claim a resource gets the resource. Your task is to give us the fundamental ideas about qualitative data analysis that you got from the materials. I strongly encourage you to share your ideas with one another and you may work as a team. If you decide to work as a team, make sure your posting has both of your names on it (like Posted by XXX and YYY). Use the learning guide linked below to focus your comments. The questions in the guide point to the main ideas I want you to capture in these readings. Post your summary to the discussion board by 11:59 PM on October 13. You will make a brief presentation (maximum of 5 minutes) of key lessons learned to the class as a whole I suggest that only one of you make the oral presentation.

Learning Guides: Qualitative Data Analysis. This document contains the learning guide for each reading listed below.

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

Hardy and Bryman are listed as the authors in e-reserve. They are the editors of the entire book. When you open the file, you will see that it is one section (#28) in the book written by N. Pidgeon & K. Henwood. Full reference is: Pidgeon, N. & Henwood, K. (Eds.) 2009 Grounded Theory in M. Hardy and A. Bryman, pp. 625-649. Sage Publications, ISBN 978-1-84860-116-1. e-reserve

Northcutt, N. & McCoy, D. (2004) Comparisons, Interpretations & Theories, Chapter 11, pp. 395-423 in Interactive Qualitative Analysis. Sage Publications. ISBN 0-7619-2834-0. e-reserve

Patton, M.Q. (2002) The Intellectural and Mechanical Work of Analysis in Qualitative Research & Evaluation Methods. pp. 462-481 Sage Publications, ISBN 0-7619-1961-6 e-reserve

Saini, M. & Shlonsky, A. (2012) Appraising the Evidence of Qualitative Studies pp. 112-140 in Systematic Synthesis of Qualitative Research. Oxford University Press, DOI https://doi.org/10.1093/acprof:oso/9780195387216.001.0001 and e-reserve