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Following the workshop, we conducted a metanalysis of the discussion transcript.
Please see more details on these models in the Discussion Transcript from the 2002 Dibner Workshop.
Using discourse analysis, discussion transcript segments dealing with male nurses' gender or sexuality were examined for turn design, sequential organization, and procedural relevance.
Data analysis involved three interrelated steps: 1) repeated reading of each discussion transcript by the medical residents and the researchers to "get a sense of the whole" [ 25]; 2) extraction from the transcripts of storylines discussed; and 3) establishing links between storylines, which became the core of the analysis section of this article.
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To document treatment fidelity, we analyzed 36 systematically selected discussion transcripts focusing on various features of classroom discourse.
Interviews with 22 preservice teachers, student-to-instructor email transcripts, asynchronous discussion transcripts, and two independent reviewers' reviews of the asynchronous discussions were used to collect and analyze the data.
Other primary data sources include key informant interviews, respondent's journal entries, observations and outputs during the structured learning exercises, focus group discussion transcripts, and the researcher's log.
After performing a quantitative content analysis of online discussion transcripts, a multilevel linear modeling analysis showed the significant positive effects of both externally-facilitated regulation scaffolding and role assignment on the level of cognitive presence.
This paper reports on the findings of a study that investigated linguistic features of online discussion transcripts coded by the four levels of cognitive presence — a CoI dimension that explains the extent to which a community can construct meaning from the initial practical inquiry to the eventual problem resolution.
All of the discussion transcripts were recorded automatically by QQ.
Third, content of contributions was ignored when coding discussion transcripts.
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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