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Yuan, Ke-Hai; Lu, Laura – Multivariate Behavioral Research, 2008
This article provides the theory and application of the 2-stage maximum likelihood (ML) procedure for structural equation modeling (SEM) with missing data. The validity of this procedure does not require the assumption of a normally distributed population. When the population is normally distributed and all missing data are missing at random…
Descriptors: Structural Equation Models, Validity, Data Analysis, Computation
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Shieh, Gwowen – Multivariate Behavioral Research, 2009
In regression analysis, the notion of population validity is of theoretical interest for describing the usefulness of the underlying regression model, whereas the presumably more important concept of population cross-validity represents the predictive effectiveness for the regression equation in future research. It appears that the inference…
Descriptors: Social Science Research, Sample Size, Monte Carlo Methods, Validity
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Penev, Spiridon; Raykov, Tenko – Multivariate Behavioral Research, 2006
A linear combination of a set of measures is often sought as an overall score summarizing subject performance. The weights in this composite can be selected to maximize its reliability or to maximize its validity, and the optimal choice of weights is in general not the same for these two optimality criteria. We explore several relationships…
Descriptors: Behavioral Science Research, Reliability, Validity, Evaluation Methods