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SOC 220- October 20

Jeff Brassard · 1:10:57 · Watch on YouTube

SOC 220- October 20 Watch on YouTube →

Overview

Jeff Brassard introduces qualitative research as the study of people’s experiences, meanings, and perspectives, typically using inductive and interpretivist approaches. He explains common methods, the iterative grounded theory process, flexible concept definitions, and criteria for evaluating research, including credibility, transferability, dependability, and confirmability. The lecture emphasizes thick description and empathic understanding while showing why qualitative samples are usually non-probability samples: interviewing 400 people for two hours each would require 800 interview hours before analysis.

Key takeaways

Chapters

0:00 Course Transition and the Meaning of Qualitative Research
7:00 Six Common Qualitative Methods and How They Differ
13:15 Formulating Questions About Experience Instead of Effects
21:36 Choosing a Research Site and Participants
23:10 Starting Theory-Agnostic and Selecting Qualitative Methods
25:30 Interpreting Data and Building Grounded Theory Iteratively
33:00 Grounded Theory in Practice: Prior Knowledge and Saturation
35:53 Definitive and Sensitizing Concepts in Qualitative Studies
44:00 Evaluating Qualitative Research Through Trustworthiness
46:20 Credibility Through Participant Feedback and Member Validation
50:30 Transferability, Thick Description, and Non-Probability Samples
57:15 Dependability Audits and Confirmability Checks
1:02:30 Empathic Understanding, Thick Description, and Naturalism
1:06:00 Studying Social Processes as They Unfold Over Time

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Transcript excerpt

0:21 [sighs] [snorts]

1:18 [clears throat] >> Already, I guess uh I guess it's that time. Okay. Um So, obviously, we are now done the first half of the

2:06 course. Right? So, we finished talking about quantitative methods. Um and for the most part, you kind of put that to one side um till the end of the course. And like I said, the only thing that I think will will really come back is is right at the end. We're going to talk about mixed methods. Um where basically we take quant and qual and kind of put them together um in terms of what, you know, we can do with both of them at the same time. But that's like very end of the course. Um and then, you know, on your which I know you're probably not thinking about this yet because we just, you know, are are finishing up our um first of those major assignments, right? But when you get to sampling for your second major assignment that's due, I

2:53 think, on the last day of of class, we're very close to the end of the term. Um you know, our convenience samples that we talked about when we talked about probability sampling or non-probability samples, rather, um are things that you're going to want to keep in mind. But we'll come back to those again and and discuss them a little bit later. Okay. So, midterm was last week. Um I am I'm working my way through them as we speak. Um I hope I to have them done by Thursday or Friday. Um and as soon as they are, I will post the grades for you. Um and we'll, you know, hopefully we can work our way I can work my way. You're not doing anything. I

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