The semi-automatic classification of an open-ended question on panel survey motivation and its application in attrition analysis

In this study, we demonstrate how supervised learning can extract interpretable survey motivation measurements from a large number of responses to an open-ended question. We manually coded a subsample of 5,000 responses to an open-ended question on survey motivation from the GESIS Panel (25,000 resp...

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Detalles Bibliográficos
Autores principales: Haensch, Anna-Carolina, Weiß, Bernd, Steins, Patricia, Chyrva, Priscilla, Bitz, Katja
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Big Data
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9403118/
https://www.ncbi.nlm.nih.gov/pubmed/36035509
http://dx.doi.org/10.3389/fdata.2022.880554

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9403118/
https://www.ncbi.nlm.nih.gov/pubmed/36035509
http://dx.doi.org/10.3389/fdata.2022.880554

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