Machine Learning and Student Performance in Teams

Ahuja, Rohan; Khan, Daniyal; Tahir, Sara; Wang, Magdalene; Symonette, Danilo; Pan, Shimei; Stacey, Simon; Engel, Don

doi:10.1007/978-3-030-52240-7_55

Cited by 5 publications

(1 citation statement)

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“…Like any tool, there are some purposes for which text analysis is particularly adept and others for which it is less so. Text analysis is sometimes used because other methods are not available (Alpers et al, 2005), as an extension or supplement to a traditional measure (Bezrukova et al, 2012), or in exploratory analyses (Ahuja et al, 2020;Robinson et al, 2013). Human judges may be better able to assess nuanced differences in language use, but CATA will always provide consistent results.…”

Section: What Is Text Analysis Good For?mentioning

confidence: 99%

A practical guide to performing transcript analysis on group conversations in both LIWC and R.

Kush

2023

Group Dynamics: Theory, Research, and Practice

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Objective: This article serves as a practical guide for conducting computer-aided text analyses (CATA) for group scholars unfamiliar with these techniques. This article provides an outline of the process of conducting CATA as well as considerations specifically important to the study of groups. Method: Transcript data were generated to produce examples of using CATA to answer research questions. This was followed by a description and tutorial of two tools to conduct CATA on group transcripts: Linguistic Inquiry and Word Count (LIWC) and R. Results: This article compiles practical advice and annotated computer code to aid researchers who want to use CATA to analyze group conversations. Conclusions: Though CATA is a flexible and powerful analysis tool, it is underutilized in the study of group interactions. This article demonstrates ways that both LIWC and R can be used even by novice users to increase our understanding of groups and group processes. Highlights and Implications• Computer-aided text analysis (CATA) is a growing methodology in general and specifically within the study of groups, but conducting CATA can be difficult for scholars unfamiliar with these techniques.• A commonly used software for conducing text analysis is Linguistic Inquiry and Word Count (LIWC), which can measure the extent to which lists of words and phrases that are related to psychological concepts like positive emotion or cognition appear in a transcript.• Measuring word occurrence, whether a preexisting dictionary that is related to a concept of interest or a custom list of important words, can reliably substitute for human coding or counting in many situations.• R, an open-source statistical software, can replicate many LIWC analyses with the package quanteda.

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