An Aggregate IRT Procedure for Exploratory Factor Analysis

Autor/inn/en	Camilli, Gregory; Fox, Jean-Paul
Titel	An Aggregate IRT Procedure for Exploratory Factor Analysis
Quelle	In: Journal of Educational and Behavioral Statistics, 40 (2015) 4, S.377-401 (25 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1076-9986
DOI	10.3102/1076998615589185
Schlagwörter	Factor Analysis; Item Response Theory; Grade 4; Simulation; Statistical Analysis; Computation; Equations (Mathematics); Models; Correlation; Scores; Trends in International Mathematics and Science Study + Suchen Sie Ihr Suchwort? Faktorenanalyse; Item-Response-Theorie; School year 04; 4. Schuljahr; Schuljahr 04; Simulation program; Simulationsprogramm; Statistische Analyse; Equations; Mathematics; Gleichungslehre; Analogiemodell; Korrelation
Abstract	An aggregation strategy is proposed to potentially address practical limitation related to computing resources for two-level multidimensional item response theory (MIRT) models with large data sets. The aggregate model is derived by integration of the normal ogive model, and an adaptation of the stochastic approximation expectation maximization algorithm is used for estimation. This methodology is used to conduct an exploratory factor analysis of the 2007 mathematics data from Trends in International Mathematics and Science Study (TIMSS) fourth grade to illustrate potential uses. A comparison to flexMIRT and two brief simulations indicate the aggregate model provides accurate estimates of Level 2 parameters despite loss of information ensuing from key assumption. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2020/1/01