A Tree-Based Approach to Identifying Response Styles with Anchoring Vignettes

Autor/inn/en	Leventhal, Brian C.; Zigler, Christina K.
Titel	A Tree-Based Approach to Identifying Response Styles with Anchoring Vignettes
Quelle	In: Measurement: Interdisciplinary Research and Perspectives, 21 (2023) 2, S.82-100 (19 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1536-6367
DOI	10.1080/15366367.2022.2156219
Schlagwörter	Scores; Vignettes; Response Style (Tests); Item Response Theory; Models; Comparative Analysis; Likert Scales; Surveys; Item Analysis; Measurement Techniques; Personality Traits; Goodness of Fit + Suchen Sie Ihr Suchwort? Antwortverhalten; Item-Response-Theorie; Analogiemodell; Likert-Skala; Survey; Umfrage; Befragung; Itemanalyse; Messtechnik; Individual characteristics; Personality characteristic; Persönlichkeitsmerkmal
Abstract	Survey score interpretations are often plagued by sources of construct-irrelevant variation, such as response styles. In this study, we propose the use of an IRTree Model to account for response styles by making use of self-report items and anchoring vignettes. Specifically, we investigate how the IRTree approach with anchoring vignettes compares to traditional approaches that either do not include anchoring vignettes or do not account for response styles. We analyze secondary data using four different models: 1) total score; 2) graded response model; 3) IRTree without the consideration of anchoring vignettes, and 4) IRTree considering anchoring vignettes. We found significant differences in trait estimates from models that account for response styles compared to those that do not. Additionally, we found differences in trait estimates between the IRTree Models when considering anchoring vignettes and when not. Model comparisons suggest that trait differences are due to adjusting for acquiescence response style. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01