1/10 For those of you learning about or having a go at #thematicanalysis for the first time, & particularly the TA approach developed by me & @ginnybraun (which is quite diff from others), I want to share some thoughts on coding in our approach, & tips for learning to code well. 2/10 One thing to avoid when you're reading data is starting to think about themes straight away & use coding to identify themes in the data. Our approach involves building themes from codes, so themes happen later in the process. Make a note of your ideas & put them aside.

After reading a lot of student dissertations/theses recently - some thoughts on writing discussion sections/chapters in qual reports, & particularly reports of #thematicanalysis. Often the trickiest part of a diss as we have run out of steam & have no idea what to say! Discussions (conventional ones at least) are tricky because they are both formulaic (evaluate the study, make suggestions for future research) and also very open - there's lots of scope to choose what to focus on beyond the expected content. Some things to avoid first.

1/10 For those of you teaching #thematicanalysis and #qualitativemethods or learning about these - here are some resources @ginnybraun and I have put together. First, check out our textbook Successful qualitative research: uk.sagepub.com/en-gb/eur/succ… 2/10 The companion website for SQR had lots of resources for teaching & learning - data-sets, including an audio-recording of a focus group, examples of research materials, flip card glossary, MCQs, links to readings...: studysites.uk.sagepub.com/braunandclarke…

1/3 Hey Twitter with my lovely UWE colleagues @NikkiHayfield & @paulredford & others I'm producing some online resources for research methods teaching, some of which will be open access. 3 questions for you. 1) For personal study use would you prefer narrated PowerPoints or... 2/3 or person talking to camera. 2) If you were going to use these resources in teaching - narrated slides or person to camera. 3) Longer lectures - like the ones I've posted on my YouTube channel recently or lecturers divided into shorter - say 20 mins - chunks? And again...

Ten tweets on why @ginnybraun and I find the language of 'themes emerged' so problematic in #thematicanalysis and how else can you write about your themes and how they were developed, if they don't emerge from data like bubbles rising to the top of a champagne glass? 2/10 Two main reasons why we find themes emerged or emerging so problematic - 1) it implies that the themes pre-exist the analysis and are waiting in the data for the researcher to find them. We'd call this a discovery orientation to analysis - reflected in terms like 'findings'.