Literaturnachweis - Detailanzeige
| Autor/inn/en | Schneider, Stefan; Jin, Haomiao; Orriens, Bart; Junghaenel, Doerte U.; Kapteyn, Arie; Meijer, Erik; Stone, Arthur A. |
|---|---|
| Titel | Using Attributes of Survey Items to Predict Response Times May Benefit Survey Research |
| Quelle | In: Field Methods, 35 (2023) 2, S.87-99 (13 Seiten)
PDF als Volltext |
| Sprache | englisch |
| Dokumenttyp | gedruckt; online; Zeitschriftenaufsatz |
| ISSN | 1525-822X |
| DOI | 10.1177/1525822X221100904 |
| Schlagwörter | Surveys; Response Rates (Questionnaires); Test Items; Artificial Intelligence; Prediction; Models; Algorithms; Reaction Time |
| Abstract | Researchers have become increasingly interested in response times to survey items as a measure of cognitive effort. We used machine learning to develop a prediction model of response times based on 41 attributes of survey items (e.g., question length, response format, linguistic features) collected in a large, general population sample. The developed algorithm can be used to derive reference values for expected response times for most commonly used survey items. (As Provided). |
| Anmerkungen | SAGE Publications. 2455 Teller Road, Thousand Oaks, CA 91320. Tel: 800-818-7243; Tel: 805-499-9774; Fax: 800-583-2665; e-mail: journals@sagepub.com; Web site: https://sagepub.com |
| Erfasst von | ERIC (Education Resources Information Center), Washington, DC |
| Update | 2024/1/01 |
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