Locally Dependent Linear Logistic Test Model with Person Covariates

Autor/inn/en	Ip, Edward H.; Smits, Dirk J. M.; De Boeck, Paul
Titel	Locally Dependent Linear Logistic Test Model with Person Covariates
Quelle	In: Applied Psychological Measurement, 33 (2009) 7, S.555-569 (15 Seiten) PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0146-6216
DOI	10.1177/0146621608326424
Schlagwörter	Item Response Theory; Models; Computation; Methods; Measures (Individuals); Aggression; Verbal Communication; College Students; Foreign Countries; Belgium + Suchen Sie Ihr Suchwort? Item-Response-Theorie; Analogiemodell; Method; Methode; Messdaten; Collegestudent; Ausland; Belgien
Abstract	The article proposes a family of item-response models that allow the separate and independent specification of three orthogonal components: item attribute, person covariate, and local item dependence. Special interest lies in extending the linear logistic test model, which is commonly used to measure item attributes, to tests with embedded item clusters. The problem of local item dependence arises in item clusters. Existing methods for handling such dependence, however, often fail to satisfy the property of invariant marginal interpretation of the item attribute parameters. Although such a property may not be necessary for applications that focus on predictive analysis, it is critical for linear logistic test models. To achieve the marginal property, we implement an iterative estimation method, which is illustrated using data collected from an inventory on verbal aggressiveness. (Contains 3 tables and 3 figures.) (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10