By now, you have experienced and studied a variety of data collection methods from interviews and focus groups to transcripts and ancillary documents. As Ravitch and Carl (2016) explain, “qualitative data collection should be intentional, rigorous, and systematic” (p. 145). But in no way should be bound by rules and procedures as much as related to the lived experiences of the participants.Don't use plagiarized sources. Get Your Custom Essay onDiscussion 2: comparing data collection methods
For this Discussion, you will explore different data collection methods and draw comparisons. You also will examine strengths, weaknesses, and the challenges they may present.
To prepare for this Discussion:
Post a response to the following:
Saldaña, J. (2016). The coding manual for qualitative researchers (3rd ed.). Thousand Oaks, CA: Sage Publications.
Chapter 1, “An Introduction to Codes and Coding (pp. 1–42) (previously read in Weeks 5, 6, and 7)
Chapter 2, “Writing Analytic Memos About Narrative and Visual Data” (pp. 43–65) (previously read in Weeks 5, 6, and 7)
Ravitch, S. M., & Carl, N. M. (2016). Qualitative research: Bridging the conceptual, theoretical, and methodological. Thousand Oaks, CA: Sage Publications.
Chapter 5, “Methods of Data Collection” (pp. 145–183) (previously read in Week 7)
Chapter 7, “An Integrative Approach to Data Analysis” (pp. 215–236) (previously read in Weeks 5, 6, and 7)
Chapter 8, “Methods and Processes of Data Analysis” (pp. 237–270) (previously read in Weeks 5, 6, and 7)
Rubin, H. J., & Rubin, I. S. (2012). Qualitative interviewing: The art of hearing data (3rd ed.). Thousand Oaks, CA: Sage Publications.
Chapter 12, “Data Analysis in the Responsive Interviewing Model” (pp. 189–211) (previously read in Weeks 5, 6, and 7)
Chapter 14, “Personal Reflections on Responsive Interviewing”
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