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Stakhovych, Stanislav; Bijmolt, Tammo H. A.; Wedel, Michel – Multivariate Behavioral Research, 2012
In this article, we present a Bayesian spatial factor analysis model. We extend previous work on confirmatory factor analysis by including geographically distributed latent variables and accounting for heterogeneity and spatial autocorrelation. The simulation study shows excellent recovery of the model parameters and demonstrates the consequences…
Descriptors: Bayesian Statistics, Factor Analysis, Models, Simulation
Improvement in Detection of Differential Item Functioning Using a Mixture Item Response Theory Model
Maij-de Meij, Annette M.; Kelderman, Henk; van der Flier, Henk – Multivariate Behavioral Research, 2010
Usually, methods for detection of differential item functioning (DIF) compare the functioning of items across manifest groups. However, the manifest groups with respect to which the items function differentially may not necessarily coincide with the true source of the bias. It is expected that DIF detection under a model that includes a latent DIF…
Descriptors: Test Bias, Item Response Theory, Models, Aptitude Tests

Eiting, Mindert H.; Mellenbergh, Gideon J. – Multivariate Behavioral Research, 1980
Using reasonable values for the parameters in both null and alternative hypotheses about covariance matrices, an optimal and feasible combination of number of subjects, significance level, and power of the test were determined for an empirical study of the measurement of musical ability. (Author/BW)
Descriptors: Education Majors, Foreign Countries, Higher Education, Hypothesis Testing