Modeling Item-Level and Step-Level Invariance Effects in Polytomous Items Using the Partial Credit Model

Autor/inn/en	Gattamorta, Karina A.; Penfield, Randall D.; Myers, Nicholas D.
Titel	Modeling Item-Level and Step-Level Invariance Effects in Polytomous Items Using the Partial Credit Model
Quelle	In: International Journal of Testing, 12 (2012) 3, S.252-272 (21 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1530-5058
DOI	10.1080/15305058.2011.630546
Schlagwörter	Foreign Countries; Psychometrics; Test Bias; Test Items; Item Response Theory; Translation; Methods; Computer Software; Achievement Tests; Mathematics Tests; French; English; Statistical Analysis; Standardized Tests; Validity; Measurement; Simulation; Educational Assessment; Canada + Suchen Sie Ihr Suchwort? Ausland; Psychometry; Psychometrie; Testkritik; Test content; Testaufgabe; Item-Response-Theorie; Method; Methode; Achievement test; Achievement; Testing; Test; Tests; Leistungsbeurteilung; Leistungsüberprüfung; Leistung; Testdurchführung; Testen; Französisch; English language; Englisch; Statistische Analyse; Standadised tests; Standardisierter Test; Gültigkeit; Messverfahren; Simulation program; Simulationsprogramm; Education; assessment; Bewertungssystem; Kanada
Abstract	Measurement invariance is a common consideration in the evaluation of the validity and fairness of test scores when the tested population contains distinct groups of examinees, such as examinees receiving different forms of a translated test. Measurement invariance in polytomous items has traditionally been evaluated at the item-level, corresponding to what is broadly referred to as differential item functioning. However, recent advances in the study of measurement invariance in polytomous items has documented the value in examining invariance at the level of each step of the polytomous item, referred to as differential step functioning. To date, little documentation exists of methodology that can simultaneously evaluate both item-level and step-level invariance effects using a common parametric model. In this article, we describe how to use the partial credit model to simultaneously evaluate item-level and step-level invariance effects. A simulation study as well as a large empirical example are presented to demonstrate the use of this methodology applied to a large-scale administration of a translated test. (Contains 5 tables and 1 figure.) (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10