Formulation and Application of the Hierarchical Generalized Random-Situation Random-Weight MIRID

Autor/in	Hung, Lai-Fa
Titel	Formulation and Application of the Hierarchical Generalized Random-Situation Random-Weight MIRID
Quelle	In: Multivariate Behavioral Research, 46 (2011) 4, S.643-668 (26 Seiten) PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0027-3171
Schlagwörter	Markov Processes; Computer Software; Psychology; Computation; Anxiety; Data Analysis; Models; Comparative Analysis; Simulation; High Schools; Secondary School Students; Behavioral Science Research + Suchen Sie Ihr Suchwort? Markowscher Prozess; Psychologie; Angst; Auswertung; Analogiemodell; Simulation program; Simulationsprogramm; High school; Oberschule; Sekundarschüler
Abstract	The process-component approach has become quite popular for examining many psychological concepts. A typical example is the model with internal restrictions on item difficulty (MIRID) described by Butter (1994) and Butter, De Boeck, and Verhelst (1998). This study proposes a hierarchical generalized random-situation random-weight MIRID. The proposed model is more flexible for formulating endogenous latent variables within a multilevel framework, allowing the analysis of polytomous data with complex models (e.g., including item discriminations, random situations, random weights, and heteroskedasticity). The parameters in the proposed model can be estimated using the computer program WinBUGS, which adopts Markov Chain Monte Carlo algorithms. To illustrate the application of the proposed model, a real data set about guilt is analyzed and a comparison of MIRIDs for various conditions is conducted. (Contains 6 tables.) (As Provided).
Anmerkungen	Psychology Press. Available from: Taylor & Francis, Ltd. 325 Chestnut Street Suite 800, Philadelphia, PA 19106. Tel: 800-354-1420; Fax: 215-625-2940; Web site: http://www.tandf.co.uk/journals
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10