Testing Latent Mean Differences Between Observed and Unobserved Groups Using Multilevel Factor Mixture Models.

When assessing latent mean differences, researchers frequently do not explore possible heterogeneity within their data sets. Sources of differences may be functions of a nested data structure or heterogeneity in the form of unobserved classes of observations defined by a difference in factor means....

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Bibliographic Details

Published in:	Educational & Psychological Measurement Vol. 68; no. 3; pp. 357 - 379
Main Authors:	Allua, Shane, Stapleton, Laura M., Beretvas, S. Natasha
Format:	Article
Published:	Sage Publications Inc. June 2008
Subjects:	Observation (Psychology) Structural equation modeling Statistical significance
Online Access:	View this record in EBSCOhost