11-7-24 ED 473 (TUE) Week 11 Reading Reflections, Comments and Questions by

Discussing

2024-11-03 04:24:17 UTC

Bhattacharya recommends, "Discuss your process and findings with a peer."

While this is good advice, many suggest caution about sharing research details. Perhaps there should be a caveat that sharing is find, but only with well-vetted and trusted peers.

Tables and Charts

2024-11-03 04:31:11 UTC

Did anyone else find Bhattacharya's tables and charts in Chapter 8 are particularly helpful? Especially for our assignment, "Theoretical perspective, Theoretical Framework, and Methodological Approaches." It definitely helped me hone in on TP, TF, and MA.

I also wonder if anyone has put these into a more graphic representation?

Visual Mapping

2024-11-06 20:26:31 UTC

I found that I was attracted to the idea of visual mapping, especially because I can relate it to work I have done with my group for the duo ethnography project. [Melissa]

Research Rock!

2024-11-06 20:45:45 UTC

My son picked my research rock :)

Re-presenting

2024-11-06 23:02:59 UTC

· Re-presentation in qualitative research is about re-presenting participant stories in a way that is your verbiage, not theirs. Some helpful hints include:

o Let the data do the talking

o Reflect on any critical moments in converting the data into evidence

o Visual displays like diagrams and tables often help bring more clarity than only narrative.

Phenomenology

2024-11-06 23:05:46 UTC

· Bhattacharya presents a nice table summarizing various research methodologies and the motivation for using that methodology. For my research study, I think phenomenological methodology is the primary methodology. However, I am unclear on whether a part of a case study approach has applicability.

Iterative process

alysonthach — 2024-11-07 00:25:48 UTC

Inductive analysis is a process of continuous reflection and iteration. Having no defined format feels a bit uncomfortable, but I can see how the iterative process guides a researcher towards identifying emergent themes (Aly)

Inductive Analysis

2024-11-07 00:26:38 UTC

This week’s Battacharya readings described inductive analysis as follows, “inductive analysis assumes that the researcher is not starting the data analysis with any kind of pre established testable hypothesis about the data. It is the process through which qualitative researchers might look at all the raw data….and identify salient patterns after looking within and across categories (usually called codes) …” This was a useful reading for the week because I was struggling with determining if we needed to develop a research problem or topic prior to beginning our interview for the duo ethnography project.

Question

alysonthach — 2024-11-07 00:29:36 UTC

Is there such thing as a combination of inductive and theory driven analysis? Or would it be more appropriate to say a researcher engaged in an inductive analysis approach guided by said theory? (Aly)

SHOW, NOT TELL.

2024-11-07 00:31:34 UTC

You need to let the data do the talking instead of you “telling” people how to think about the data. Present the data in its complexities and contradictions. Let the reader figure out what they want to figure out instead of you “telling” them what to figure out. Expect that the reader is an active participant of this re-presentation.

Protecting the researched

2024-11-07 00:31:37 UTC

The readings this week felt personal. I love how Smith centered self-determination in an Indigenous world, by privileging Indigenous concerns, Indigenous practices and Indigenous participation. Smith continues to describe the relationship between Indigenous peoples and the West. The concerns expressed by Smith from healthcare to mobilization to strategically making Indigenous self-determination an agenda to research.

End in Narrative?

2024-11-07 00:33:56 UTC

However, scholars who do not use narrative analysis specifically might still arrive at narratives as the form of representation through some analytic paths.

Do researchers or new researchers often start with another methodological area like Phenomenology and end in Narrative by incident?

Brenna

2024-11-07 00:36:00 UTC

Digesting the data - Bhattacharya recommends to chunk your data into manageable units of analysis (coding). You can do this by pulling out phrases, sentences, and paragraphs that stand out to you. I think it's important to remember that you may not be able to share everything from the data collected, but focus on what you can to tell the story in the best way possible.

Brenna

2024-11-07 00:38:14 UTC

This was a good wrap up chapter, hence the title "pulling it all together". My takeaway is when in doubt, continue to revisit your research topic and interest to gain clarity or refocus and remember the why.

What is it that you really want to know? What matters to you the most, makes your heart sing? (Bhattacharya, 2017).