1/ At the start of a new academic year, a thread for folk supervising qually projects using TA. You read B&C 2006 ages ago - what's changed? What common problems do you need to watch out for in student work? 10 things you need to know - w/ readings for those w/ a bit more time!
2/ Number 1 - we now call our approach reflexive TA to acknowledge that TA is a diverse family of methods & our approach centres the reflexive & "artfully interpretive" researcher (Finlay, 2021). Read more here: tandfonline.com/doi/abs/10.108…
3/ Number 2 - we've changed the name of the 6 phases to better reflect the reflexive & interpretive approach to coding & theme development (we're not searching for themes anymore!). Familiarisation, data coding (no initial any more!), generating initial themes (to capture the
4/ provisionality & tentativeness of early themes - theme development starts here, it doesn't end), reviewing & developing themes, refining, defining & naming themes (these tweaked names capture that theme development is still ongoing), and finally writing up remains the same.
5/ Number 3 - the most common area of confusion is in the conceptualisation of themes. In reflexive TA themes are stories, patterns of shared meaning not topic summaries - summarising the main things the participants said about a topic (eg experiences of X, barriers to Y).
6/ Topic summaries are common in other types of TA - eg Framework Analysis - so opt for these if the goal is to summarise what participants said about a topic rather than tell interpretive stories. A great discussion here - journals.lww.com/cns-journal/Ab…
7/ Number 4 - help students to think carefully about their theme names - do the names capture something of the story of the theme? One word theme names generally don't (but there are exceptions of course!), neither do topic summary theme names (eg Experiences of X etc).
8/ Number 5 - woah subtheme overkill! Because reflexive TA is oriented to developing rich, complex, multifaceted patterns there's unlikely to be space for lots of themes & theme levels. If a theme consists of 1 observation/paragraph it's not very themey. Other approaches to TA
9/ like Framework Analysis work better if the goal is to produce a more complex thematic structure with more theme levels - this is how these approaches capture complexity. Number 6 - TA can't be conducted in a theoretical vacuum. We get metatheory is a bit head melting but
10/ students need to be able to describe the theoretical assumptions informing their use of TA and enact these assumptions consistently. Critical realism is a pretty safe bet for lots of TA. Chapter 1 of this book is pretty accessible - uk.sagepub.com/en-gb/eur/a-re…
11/ Number 7 - Encourage students to discuss how they specifically engaged with the 6 phases/practices of TA rather than merely recite the phases when writing up their method. This 2 part blog includes lots of tips for writing a dissertation/thesis - edpsy.org.uk/blog/2021/tips…
12/ Remind students that it's not a recipe to be followed but a starting point for their own interpretive adventure. Number 8 - a practical one, TA is not best done in a last minute panic! Moving beyond the obvious in data takes time. They need to allow time for the slow wheel of
13/ interpretation to turn. Get that ethics application in & get going! Number 9 - students can really struggle with research design & particularly with formulating research questions for qual. As an ethics scrutineer I encounter a lot of quant style research questions - the
14/ relationship between A and B. Direct students to our paper on Conceptual and Design Thinking for Thematic Analysis for guidance (there's an open access version in the UWE Bristol Research Repository) - psycnet.apa.org/record/2021-45…
15/ Finally Number 10 - good quality TA needs good quality data - encourage students to pilot things like qualitative surveys & story completion & have a review/reflection w/ you after they've transcribed their first interview/focus group. This paper is a great tool for helping
16/ students to reflect on their interviewing style - journals.sagepub.com/doi/full/10.11… They need to avoid conducting & transcribing all of their interviews in 1 week in a panic! Interviews can be disastrous! And leave them scrabbling for something to say about them.
17/ Finally look out for our book on Thematic Analysis published by @SAGEpsychology next month! There will be an open access chapter on teaching & supervision on the companion website. It's an in depth, accessible & practical guide written for students - uk.sagepub.com/en-gb/eur/them…
18/ Finally finally check out my pinned tweet for a list of everything we've published since 2006. And if you can't wait until Oct for a book length exposition - check out this fab book by @GarethRTerry & @drnikkihayfield - apa.org/pubs/books/ess…
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1/ A thread about Harvard referencing style. My message for students is always use whatever Harvard style you like just use it consistently. What I've realised is that students struggle with the consistently bit because they haven't been taught where the choices are. So here's a
2/ thread on some of these choices. First up Harvard is a generic style where you cite author name(s) + publication date in the main text & then have a separate list of references at the end. There are lots of different versions of Harvard - APA, lots of unis have their own
3/ many publishers have their own Harvard house style... so Harvard & APA are not different styles. APA is Harvard! Okay so in the main text you typically cite the author last name & publication date. Eg (Braun & Clarke, 2006)... Different versions of Harvard give you different
1/ Themes don't emerge but themes can be emergent?! What? Eh? A quick thread on the differences between emerge(d) & emergent. @ginnybraun & I bang on about themes not emerging. We are critical of the phrase "3 themes emerged..." etc for 2 reasons. First, it can imply themes are
2/ ontologically real things that exist in data independent of a researcher's engagement with the data. If themes are real the researcher's role becomes one of extraction or discovery. In our reflexive TA approach themes aren't real! They're not in data fully formed. Instead,
3/ themes are generated by the researcher through their interpretative engagement with data - created from codes & through coding. Second, "the themes emerged" can imply the researcher is passive in the theme development process when they are anything but. At the same time the
1/ @ginnybraun & I have written a lot about TA since our first paper Using Thematic Analysis in Psychology in 2006. Here's a thread of things we have written since then, starting with a paper on what constitutes quality practice in TA & 10 common problems: tandfonline.com/doi/abs/10.108…
2/ Unsure if TA is the right method for your project? And when & why you'd use TA & not IPA, or qualitative content analysis or grounded theory or discourse analysis... then this paper is for you (free to read online right now): onlinelibrary.wiley.com/doi/epdf/10.10…
3/ One of the hallmarks of TA is its flexibility but this also means there are a lot of decisions to be made about the conceptualisation & design of your project. Our most recent paper - a beast! - walks you through these decisions & has tips on reporting: psycnet.apa.org/doiLanding?doi…
1/ A thread on why I think collecting demographic data is important in qualitative research (& research more broadly) & a request for your thoughts on this. Am I alone in thinking this is important? I seem to be... based on experiences of ethics scrutiny this yr #AcademicChatter
2/ I get the sense that some researchers - esp those researching students - implicitly imagine their potential participants as the "usual suspects" (white, straight, nondisabled, middle class etc)... I've scrutinised several studies where disability (cog fog etc) would confound
3/ the quant results but no exclusion criteria & no demographics - I don't get it?! I've been told by white male students more than once that if for eg race/ethnicity aren't relevant to the research question there is no need to collect demog data on ethnicity. But as a white
1/ A thread with some tips on writing qualitative research dissertations - esp those using thematic analysis - including common problems to avoid (prompted by marking student projects). First tip - as @ginnybraun & I always say check local requirements! Broadly speaking, there
2/ are two styles of qual research reporting: 1) "add qual and stir" - default quant conventions slightly tweaked for qual: finding & filling the "gap" introduction & rationale, methodological critique of existing studies, separate "results" & discussion... 2) qual centric. The
3/ latter is far less well understood & recognised - I've had reviewers/editors insist on me reworking qual centric reports into something more conventional, examiners do the same to my students. So check what is required in your context. If a marker/examiner doesn't "get it"
1/ To all those advocating saturation as *the* criterion for determining qual "sample" size (instead of Gender & Society's positivist qual 35 int minimum) please note that saturation has been critiqued for bloody decades as realist/positivist & not working for all qual. Here's
3/ Here's me & @ginnybraun critiquing the use of saturation as information redundancy in thematic analysis research - arguing that saturation only makes sense in positivist/realist forms of TA. For our reflexive approach it simply doesn't work: tandfonline.com/doi/abs/10.108…