1/ I'm just a thematic analysis author standing in front of a qualitative researcher and asking them to bloody read Braun & Clarke 2006 before citing it...
Honestly the things people claim @ginnybraun and I say that we don't. A short thread of some prize winners...
2/ A read a few weeks ago that apparently we don't provide a "plan" for analysis in Braun & Clarke 2006 - the author presented this as a justification for using grounded theory coding techniques to do TA... A) The paper is literally setting out a "plan"; B) We are expressly
3/ critical in that paper of the practice of using GT techniques for TA.
We also don't say saturation can be achieved in 12 interviews - and yet papers have got passed peer review claiming that.
There are no codebooks or coding frames in reflexive TA and yet numerous authors...
4/ claiming to "follow Braun and Clarke"... describe the use of codebooks or coding frames...
My main point here is that TA is a diverse family of methods not one uniform approach - there are no "standardised thematic
5/ analysis procedures" as many claim. If you're citing both Braun and Clarke & - for eg - Boyatzis our approaches are very different! And the differences aren't trivial. Different procedures reflect & enact different underlying research values. Across the TA family, there are...
6/ different conceptualisations of themes, some move from themes - coding, others including reflexive TA, coding - themes. To use Linda Finlay's fab distinction - some are more "scientifically descriptive", others more "artfully interpretative": ejqrp.org/index.php/ejqr…
7/ So if you're reviewing a TA manuscript with no TA sources cited don't ask authors just to bung in a citation to B&C 2006 - you need to support authors to become knowing practitioners of TA. And we're here to help! We've written about common problems: tandfonline.com/doi/abs/10.108…
8/ many of which hinge on folks not appreciating the diversity within TA. That paper also includes a list of questions for reviewers to reflect on when reviewing TA manuscripts. I would also encourage reviewers to check out our discussion of the diversity within TA in our new bk
9/ I think it's Chapter 8 in which we provide our most detailed discussion to date - discussed in lots of other publications more briefly: uk.sagepub.com/en-gb/eur/them…
10/ I totally get that this diversity in TA is poorly understood & confusing & that's where lots of problems stem from. But wildly misrepresenting what authors do/don't say is not OK and shouldn't be getting past peer review.
I have to say I'm disappointed at the lack of Notting Hill gifs in the comments!!!! 😀
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1/ A thread on ensuring/assessing quality in qualitative research & whether checklists/guidelines that aspire to be universally applicable have a role to play.
The first problem with universal guidelines is that there isn't a widely agreed on definition of what qually research is
2/ A - over simplified - definition of qually research (well any research) is that it involves tools & techniques for collecting & analysing data & research values (paradigms, 'ologies) that tell you what the data represent, what you can access through them: contextually situated
3/ sense-making, a universal truth of experience, discourses, narratives, social constructions etc. It's very hard to develop a definition that works for all forms of qualitative research. So lots of guidelines/checklists are based on partial definitions but these aren't...
1/ A thread about how to judge if your qualitative data are rich (& what does that mean?!) & some tips for what to do if they aren't. Let's imagine a qualitative study using qualitative surveys & thematic analysis. If you've not seen a qual dataset before - or a particular kind
2/ of qual dataset it can be really difficult to judge if the data are good quality & good enough for a more interpretative analysis like reflexive TA. This is why my & my students' judgements can differ because I've seen lots of datasets over the years. So one tip is to check
3/ out the qually datasets that are publicly available. @ginnybraun & I made the full Facebook comments dataset we used for the worked eg in Thematic Analysis: A Practical Guide avaliable on the companion website: uk.sagepub.com/en-gb/eur/them…
1/ A posted a thread a while back of my criticisms of the COREQ checklist - I've been digging around for published critiques & wanted to share what I've found & ask if anyone knows things I've missed. Starting with this fab paper: sciencedirect.com/science/articl…
2/ The authors attempted to replicate COREQ using the authors' account of their process & couldn't. They powerfully argue that the development of COREQ was not trustworthy and therefore it's not a credible tool to evaluate the reporting of qualitative research.
3/ A great editorial by one of the authors of the attempted replication exploring the ways reporting guidelines can damage quality because of a lack of recognition of the diversity of qualitative research (e.g. COREQ refs positivist concepts - saturation): sciencedirect.com/science/articl…
1/ A thread on why I find the COREQ 32-item checklist reporting criteria for qualitative research so problematic. You can read the paper outlining the consolidated criteria for reporting qualitative research here: academic.oup.com/intqhc/article…
2/ If you use COREQ please read this attempt to replicate the development of the checklist - it's pretty damning and raises serious questions about why it continues to be promoted: sciencedirect.com/science/articl…
3/ First off they define qual research as using "non-quantitative methods" which is rather narrow procedural definition of qual suggesting a small q conceptualisation of qual research = qual tools & techniques. As a Big Q qual researcher what's missing are the values that...
1/ Head on over to my YouTube channel for new lectures on Thematic Analysis, the Foundations of Qualitative Research & Qualitative Research Design created by me, @drnikkihayfield & @ginnybraun with narration by me (& occasionally my cat!) - please share!: youtube.com/channel/UCLBw6…
2/ We will add the slides & handouts to thematicanalysis.net as soon as we get a chance. There are two - 3 part - lectures on the Foundations of Qual Research. Foundations 1 is a gentle introduction for those new(ish) to qual, starting w/ what is qual?:
3/ Foundations 1 part 2 is about meaning and meaning making in Big Q qualitative research - the lectures in the series focus on Big Q (the use of qualitative techniques underpinned by qualitative research values) -
1/ To follow up on yesterday's small q/Big Q thread here are the things I'm making a note of to emphasise in this year's qually res methods teaching to help students avoid appearing to be confused about their Q when they come to write their dissertation/thesis. First is research
2/ questions - we see a lot of qual questions that are thinly disgused quant questions (how does A relate to B) in ethics apps. I'm going to give students egs of qually research questions - including the typology from Successful Qualitative Research: uk.sagepub.com/en-gb/eur/succ…
3/ & emphasise that qual questions are typically at the initial stages open & exploratory - we can't measures relationships between variables in any concrete way... & we need to centre participants' sense making (in res w/ people!) - so not impact of X but *perceptions* of impact