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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...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2022
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| Materias: | |
| 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 |