A Comprehensive Regression-Based Approach for Identifying Sources of Person Misfit in Typical-Response Measures

Autor/inn/en	Ferrando, Pere J.; Lorenzo-Seva, Urbano
Titel	A Comprehensive Regression-Based Approach for Identifying Sources of Person Misfit in Typical-Response Measures
Quelle	In: Educational and Psychological Measurement, 76 (2016) 3, S.470-486 (17 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0013-1644
DOI	10.1177/0013164415594659
Schlagwörter	Regression (Statistics); Item Response Theory; Goodness of Fit; Affective Measures; Mathematics Anxiety + Suchen Sie Ihr Suchwort? Regression; Regressionsanalyse; Item-Response-Theorie
Abstract	This article proposes a general parametric item response theory approach for identifying sources of misfit in response patterns that have been classified as potentially inconsistent by a global person-fit index. The approach, which is based on the weighted least squared regression of the observed responses on the model-expected responses, can be used with a variety of unidimensional and multidimensional models intended for binary, graded, and continuous responses and consists of procedures for identifying (a) general deviation trends, (b) local inconsistencies, and (c) single response inconsistencies. A free program called REG-PERFIT that implements most of the proposed techniques has been developed, described, and made available for interested researchers. Finally, the functioning and usefulness of the proposed procedures is illustrated with an empirical study based on a statistics-anxiety scale. (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: http://sagepub.com
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2020/1/01