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Raykov, Tenko; Calvocoressi, Lisa – Educational and Psychological Measurement, 2021
A procedure for evaluating the average R-squared index for a given set of observed variables in an exploratory factor analysis model is discussed. The method can be used as an effective aid in the process of model choice with respect to the number of factors underlying the interrelationships among studied measures. The approach is developed within…
Descriptors: Factor Analysis, Structural Equation Models, Statistical Analysis, Selection
Traynor, Anne; Raykov, Tenko – Comparative Education Review, 2013
In international achievement studies, questionnaires typically ask about the presence of particular household assets in students' homes. Responses to the assets questions are used to compute a total score, which is intended to represent household wealth in models of test performance. This study uses item analysis and confirmatory factor analysis…
Descriptors: Secondary School Students, Academic Achievement, Validity, Psychometrics
Raykov, Tenko; Amemiya, Yasuo – Structural Equation Modeling: A Multidisciplinary Journal, 2008
A structural equation modeling method for examining time-invariance of variable specificity in longitudinal studies with multiple measures is outlined, which is developed within a confirmatory factor-analytic framework. The approach represents a likelihood ratio test for the hypothesis of stability in the specificity part of the residual term…
Descriptors: Structural Equation Models, Longitudinal Studies, Computation, Time