Literaturnachweis - Detailanzeige
Autor/inn/en | Schneider, Stefan; Jin, Haomiao; Orriens, Bart; Junghaenel, Doerte U.; Kapteyn, Arie; Meijer, Erik; Stone, Arthur A. |
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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 |