Spurious Latent Class Problem in the Mixed Rasch Model: A Comparison of Three Maximum Likelihood Estimation Methods under Different Ability Distributions

Autor/in	Sen, Sedat
Titel	Spurious Latent Class Problem in the Mixed Rasch Model: A Comparison of Three Maximum Likelihood Estimation Methods under Different Ability Distributions
Quelle	In: International Journal of Testing, 18 (2018) 1, S.71-100 (30 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1530-5058
DOI	10.1080/15305058.2017.1312408
Schlagwörter	Item Response Theory; Comparative Analysis; Computation; Maximum Likelihood Statistics; Bayesian Statistics; Sample Size; Multivariate Analysis; Foreign Countries; Achievement Tests; Mathematics Achievement; International Assessment; Mathematics Tests; Science Achievement; Science Tests; Grade 4; Monte Carlo Methods; Simulation; Austria; Norway; Armenia; Iran; Tunisia; Trends in International Mathematics and Science Study + Suchen Sie Ihr Suchwort? Item-Response-Theorie; Multivariate Analyse; Ausland; Achievement test; Achievement; Testing; Test; Tests; Leistungsbeurteilung; Leistungsüberprüfung; Leistung; Testdurchführung; Testen; Mathmatics sikills; Mathmatics achievement; Mathematical ability; Mathematische Kompetenz; School year 04; 4. Schuljahr; Schuljahr 04; Monte-Carlo-Methode; Simulation program; Simulationsprogramm; Österreich; Norwegen; Armenien; Tunesien
Abstract	Recent research has shown that over-extraction of latent classes can be observed in the Bayesian estimation of the mixed Rasch model when the distribution of ability is non-normal. This study examined the effect of non-normal ability distributions on the number of latent classes in the mixed Rasch model when estimated with maximum likelihood estimation methods (conditional, marginal, and joint). Three information criteria fit indices (Akaike information criterion, Bayesian information criterion, and sample size adjusted BIC) were used in a simulation study and an empirical study. Findings of this study showed that the spurious latent class problem was observed with marginal maximum likelihood and joint maximum likelihood estimations. However, conditional maximum likelihood estimation showed no overextraction problem with non-normal ability distributions. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2020/1/01