This 4 part video is SO helpful, I am working on my thesis right now and feel very supported. by this material, it is by far the most useful video material I found. THANK YOU!
Super-useful: both incredibly thorough AND clear. Invaluable and am using alongside your excellent 2022 book - 'Thematic Analysis: A Practical Guide'. Thank you!
Thank you so much for sharing this, it really evoked my joy in doing research again! This series is so useful and it triggers you to pause and ask yourself and your data 'what is going on?'. Unfortunately, when I'm stressed about the more practical issues, I ask myself these questions less often and this was a good reminder to take the time I need to reflect.
Is there any way of selecting a theme that is an interesting individual theme rather than always identifying patterns and then themes across the data? I was hoping to have the flexibility to do that with my dissertation. I know you can do it with the ideographic element of IPA but can I so something similar with TA please?
Great lecture, thank you, very useful. But i have a question, about latent and semantic codes, in relation to the data you shared. I wonder whether sometimes, in going for the 'conceptual' themes, we can actually just be drawing on pre-existing assumptions we had already, and the corollary, that sometimes the 'superficial' semantic themes might be hiding in plain sight - or harder to see. It's 'common sense' that superficial is easier to read', while 'latent' is harder.. but I think there's a case for te opposite also being true.. Maybe there's no real distinction between semantic and latenet? or it's not as obvious as we think?
This 4 part video is SO helpful, I am working on my thesis right now and feel very supported. by this material, it is by far the most useful video material I found. THANK YOU!
Super-useful: both incredibly thorough AND clear. Invaluable and am using alongside your excellent 2022 book - 'Thematic Analysis: A Practical Guide'. Thank you!
This a brilliant and incredibly useful set of videos. Thank you very much!
Thank you so much for sharing this, it really evoked my joy in doing research again! This series is so useful and it triggers you to pause and ask yourself and your data 'what is going on?'. Unfortunately, when I'm stressed about the more practical issues, I ask myself these questions less often and this was a good reminder to take the time I need to reflect.
So glad I found this. Much easier to listen to it than always be reading it
Better explained than how it was presented in my MBA class. Thank you.
Awesome video. Most informative. Thank you.
Is there any way of selecting a theme that is an interesting individual theme rather than always identifying patterns and then themes across the data? I was hoping to have the flexibility to do that with my dissertation. I know you can do it with the ideographic element of IPA but can I so something similar with TA please?
Great lecture, thank you, very useful. But i have a question, about latent and semantic codes, in relation to the data you shared. I wonder whether sometimes, in going for the 'conceptual' themes, we can actually just be drawing on pre-existing assumptions we had already, and the corollary, that sometimes the 'superficial' semantic themes might be hiding in plain sight - or harder to see. It's 'common sense' that superficial is easier to read', while 'latent' is harder.. but I think there's a case for te opposite also being true.. Maybe there's no real distinction between semantic and latenet? or it's not as obvious as we think?
I think anyone doing Qual analysis knows Braun and Clarke 2006. I love surprising them when I show learners that they are more than 2006.
5:24 notation
23:09 codes suit purpose.
Nice work!