A Bootstrap Generalization of Modified Parallel Analysis for IRT Dimensionality Assessment

Autor/inn/en	Finch, Holmes; Monahan, Patrick
Titel	A Bootstrap Generalization of Modified Parallel Analysis for IRT Dimensionality Assessment
Quelle	In: Applied Measurement in Education, 21 (2008) 2, S.119-140 (22 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0895-7347
Schlagwörter	Monte Carlo Methods; Factor Analysis; Generalization; Item Response Theory; Evaluation Methods; Maximum Likelihood Statistics; Computation; Data Collection; Data Analysis; Error of Measurement; Simulation + Suchen Sie Ihr Suchwort? Monte-Carlo-Methode; Faktorenanalyse; Item-Response-Theorie; Data capture; Datensammlung; Auswertung; Messfehler; Simulation program; Simulationsprogramm
Abstract	This article introduces a bootstrap generalization to the Modified Parallel Analysis (MPA) method of test dimensionality assessment using factor analysis. This methodology, based on the use of Marginal Maximum Likelihood nonlinear factor analysis, provides for the calculation of a test statistic based on a parametric bootstrap using the MPA methodology for generation of synthetic datasets. Performance of the bootstrap test was compared with the likelihood ratio difference test and the DIMTEST procedure using a Monte Carlo simulation. The bootstrap test was found to exhibit much better control of the Type I error rate than the likelihood ratio difference test, and comparable power to DIMTEST under most conditions. A major conclusion to be taken from this research is that under many real-world conditions, the bootstrap MPA test presents a useful alternative for practitioners using Marginal Maximum Likelihood factor analysis to test for multidimensional testing data. (Contains 3 tables.) (Author).
Anmerkungen	Lawrence Erlbaum. 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/default.html
Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10