Nonparametric Estimation of Item and Respondent Locations from Unfolding-Type Items

Autor/in	Johnson, Matthew S.
Titel	Nonparametric Estimation of Item and Respondent Locations from Unfolding-Type Items
Quelle	In: Psychometrika, 71 (2006) 2, S.257-279 (23 Seiten) PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0033-3123
DOI	10.1007/s11336-003-1098-9
Schlagwörter	Psychometrics; Nonparametric Statistics; Item Response Theory; Models; Feedback (Response); Evaluation Methods; Simulation; Computation; Mathematics + Suchen Sie Ihr Suchwort? Psychometry; Psychometrie; Item-Response-Theorie; Analogiemodell; Simulation program; Simulationsprogramm; Mathematik
Abstract	Unlike their monotone counterparts, nonparametric unfolding response models, which assume the item response function is unimodal, have seen little attention in the psychometric literature. This paper studies the nonparametric behavior of unfolding models by building on the work of Post (1992). The paper provides rigorous justification for a class of nonparametric estimators of respondents' latent attitudes by proving that the estimators consistently rank order the respondents. The paper also suggests an algorithm for the rank ordering of items along the attitudes scale. Finally, the methods are evaluated using simulated data. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10