Item Response Tree Models to Investigate Acquiescence and Extreme Response Styles in Likert-Type Rating Scales

Autor/inn/en	Park, Minjeong; Wu, Amery D.
Titel	Item Response Tree Models to Investigate Acquiescence and Extreme Response Styles in Likert-Type Rating Scales
Quelle	In: Educational and Psychological Measurement, 79 (2019) 5, S.911-930 (20 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Zusatzinformation	ORCID (Park, Minjeong)
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0013-1644
DOI	10.1177/0013164419829855
Schlagwörter	Item Response Theory; Models; Likert Scales; Response Style (Tests); Self Concept Measures; Self Esteem; California; Rosenberg Self Esteem Scale + Suchen Sie Ihr Suchwort? Item-Response-Theorie; Analogiemodell; Likert-Skala; Antwortverhalten; Self-esteem; Selbstaufmerksamkeit; Kalifornien
Abstract	Item response tree (IRTree) models are recently introduced as an approach to modeling response data from Likert-type rating scales. IRTree models are particularly useful to capture a variety of individuals' behaviors involving in item responding. This study employed IRTree models to investigate response styles, which are individuals' tendencies to prefer or avoid certain response categories in a rating scale. Specifically, we introduced two types of IRTree models, descriptive and explanatory models, perceived under a larger modeling framework, called explanatory item response models, proposed by De Boeck and Wilson. This extends the typical application of IRTree models for studying response styles. As a demonstration, we applied the descriptive and explanatory IRTree models to examine acquiescence and extreme response styles in Rosenberg's Self-Esteem Scale. Our findings suggested the presence of two distinct extreme response styles and acquiescence response style in the scale. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2020/1/01