Standard Errors of Estimated Latent Variable Scores with Estimated Structural Parameters

Autor/inn/en	Hoshino, Takahiro; Shigemasu, Kazuo
Titel	Standard Errors of Estimated Latent Variable Scores with Estimated Structural Parameters
Quelle	In: Applied Psychological Measurement, 32 (2008) 2, S.181-189 (9 Seiten) PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0146-6216
DOI	10.1177/0146621607301652
Schlagwörter	Monte Carlo Methods; Markov Processes; Factor Analysis; Computation; Item Response Theory; Error of Measurement; Simulation; Structural Equation Models; True Scores; Bayesian Statistics + Suchen Sie Ihr Suchwort? Monte-Carlo-Methode; Markowscher Prozess; Faktorenanalyse; Item-Response-Theorie; Messfehler; Simulation program; Simulationsprogramm
Abstract	The authors propose a concise formula to evaluate the standard error of the estimated latent variable score when the true values of the structural parameters are not known and must be estimated. The formula can be applied to factor scores in factor analysis or ability parameters in item response theory, without bootstrap or Markov chain Monte Carlo methods. The proposed method is valid when both the number of items and the number of subjects are large. However, simulation results suggest that the proposed method provides valid estimates for standard errors of latent abilities even when the numbers of items and subjects are not large. (Contains 2 tables and 1 figure.) (Author).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10