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We shall analyse all these data by using NVivo software to explore commonalities and differences in topics that emerge from the guides.
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These differences may be attributable to differences in topic area (neonatal resuscitation vs. infection prevention) or by different backgrounds of participants.
The training level of respondents seemed to dictate relatively few differences in topic preferences.
The authors designed the study to address three questions relevant to the comparison of the two approaches: would the TTES group (vs. the RT group) demonstrate or report 1) greater conceptual change, 2) higher levels of transformative experience, and 3) differences in topic emotions (more positive affect) related to learning about evolution?
There was no difference in topic-related MCQ scores for students attending EVS or Traditional lectures and by this measure there is no learning advantage of the EVS over traditional lectures.
There was a significant difference in topic confidence before participating in a video conference based on profession (F 2, 94) = 3.18, p = .028), with post-hoc analyses revealing that allied health professionals had significantly lower confidence in palliative care topics than both nurses (p = .008) and medical doctors or students (p = .013) before participating in the video conferences.
There were also considerable differences in the topics covered, with trained staff being more likely to cover topics specifically related to eye conditions than untrained staff.
The analytic team organized the themes into data tables and identified which groups discussed each of the themes to identify similarities and differences in the topics generated in discussion across the four different settings from which we recruited participants.
Differences in possible topics, subjects, and technology characteristics drive researchers to search for different types of solutions to what seem to be familiar problems.
Are there any cultural differences in these topics?
There was a surprising finding of gender based differences in podcast topics focused on technical skills.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com