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Peer reviewedWidaman, Keith F. – Multivariate Behavioral Research, 1993
Across conditions, differences between population parameters defined by common factor analysis and component analysis are demonstrated. Implications for data analytic and theoretical issues related to choice of analytic model are discussed. Results suggest that principal components analysis should not be used to obtain parameters reflecting latent…
Descriptors: Comparative Analysis, Equations (Mathematics), Estimation (Mathematics), Factor Analysis
Peer reviewedMcArdle, J. Jack – Multivariate Behavioral Research, 1984
The many methodological contributions of Raymond B. Cattell to multivariate analysis are discussed in terms of contemporary issues in structural equation modeling. His factor analytic approach is compared with current modeling practices. A critical evaluation finds much of Cattell's work still innovative, technically advanced, and valuable to…
Descriptors: Analysis of Variance, Comparative Analysis, Estimation (Mathematics), Evaluation
Peer reviewedAlgina, James; And Others – Journal of Educational Statistics, 1991
Type I error rates for Yao's, James' first-order and second-order, and Johansen's tests of equality of mean vectors for two independent samples were estimated for various conditions defined by the degree of heteroscedasticity and nonnormality. Each procedure can be seriously nonrobust with exponential and log-normal distributions. (TJH)
Descriptors: Analysis of Covariance, Analysis of Variance, Comparative Analysis, Equated Scores
Schumacker, Randall E. – 1992
Several goodness of fit (GOF) criteria have been developed to assist the researcher in interpreting structural equation models. However, the determination of GOF for structural equation models is not as straightforward as that for other statistical approaches in multivariate procedures. The four GOF criteria used across the commonly used…
Descriptors: Chi Square, Comparative Analysis, Equations (Mathematics), Estimation (Mathematics)


