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Mini rant after having to reassure students using virtual Interviews who'd been told virtual ints won't be as rich as face to face - get in the bin you methodological dinosaurs! Researchers having been using virtual Ints for over a decade & there are numerous empirical studies...
exploring different modalities - the clear take away is no one modality is inherently superior. What's key is fit between research purpose, topic, participants & modality. Best fit modality = rich(est) data. I now pretty much always advise students to give participants a choice
of modality. Which leads me to a second mini rant after reassuring anxious students who'd been told they can't analyse data from different interview modalities/methods as one dataset - consistency of "measurement" is not a qualitative concern. Get away with your neopositivism!
What's imp with multimethod or modality research is reflexivity - reflecting on how different methods shape and delimit the data generated. You don't have to treat these as different datasets & analyse separately as one student was advised...
