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Can Text Mining Enrich Data on Patient Characteristics on Dropout Cases in an Email-Based Alcohol Intervention?

Libbertz-Mohr, Lukas Bern (2020) Can Text Mining Enrich Data on Patient Characteristics on Dropout Cases in an Email-Based Alcohol Intervention?

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Abstract:In this M.Sc. thesis, text mining in the for of Linguistic Inquiry and Word Count (LIWC) was used to assess linguistic differences between dropouts and completers of a written online alcohol intervention. Next to that, sociodemographic information between the groups was compared as well to find information that can meaningfully discriminate between participants at the risk of dropout.
Item Type:Essay (Master)
Faculty:BMS: Behavioural, Management and Social Sciences
Subject:77 psychology
Programme:Psychology MSc (66604)
Link to this item:http://purl.utwente.nl/essays/82704
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