Multilevel Item Response Model with Heterogeneous Within-Cluster Variances

Autor/inn/en	Kara, Yusuf; Kamata, Akihito
Titel	Multilevel Item Response Model with Heterogeneous Within-Cluster Variances
Quelle	In: Journal of Experimental Education, 90 (2022) 4, S.962-980 (19 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Zusatzinformation	ORCID (Kara, Yusuf)
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0022-0973
DOI	10.1080/00220973.2020.1858015
Schlagwörter	Bayesian Statistics; Hierarchical Linear Modeling; Item Response Theory; Multivariate Analysis; Simulation; Efficiency; School Effectiveness + Suchen Sie Ihr Suchwort? Item-Response-Theorie; Multivariate Analyse; Simulation program; Simulationsprogramm; Effectiveness; Effektivität; Wirkungsgrad; Schuleffizienz
Abstract	Within-cluster variance homogeneity is one of the key assumptions of multilevel models; however, assuming a constant (i.e. equal) within-cluster variance may not be realistic. Moreover, existent within-cluster variance heterogeneity should be regarded as a source of additional information rather than a violation of a model assumption. This study extends the three-level Rasch item response model to estimate cluster-specific variances as random effects adopting the Bayesian approach. Data analysis results provided empirical evidence for the possible violations of the within-cluster variance heterogeneity, as well as the utility of the proposed heterogeneous model. A small-scale simulation study conducted to provide information about the estimation efficiency of the model parameters with varying degrees of within-cluster variance heterogeneity. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01