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Fan, Xitao – 1995
This paper, in a fashion easy to follow, illustrates the interesting relationship between structural equation modeling and canonical correlation analysis. Although computationally somewhat inconvenient, representing canonical correlation as a structural equation model may provide some information which is not available from conventional canonical…
Descriptors: Comparative Analysis, Correlation, Mathematical Models, Research Methodology
Peer reviewed Peer reviewed
Goffin, Richard D. – Multivariate Behavioral Research, 1993
Two recent indices of fit, the Relative Noncentrality Index (RNI) (R. P. McDonald and H. W. Marsh, 1990) and the Comparative Fit Index (P. M. Bentler, 1990), are shown to be algebraically equivalent in most applications, although one condition in which the RNI may be advantageous for model comparison is identified. (SLD)
Descriptors: Comparative Analysis, Equations (Mathematics), Evaluation Methods, Goodness of Fit
Peer reviewed Peer reviewed
Marsh, Herbert W. – Journal of Educational Measurement, 1993
Structural equation models of the same construct collected on different occasions are evaluated in 2 studies involving the evaluation of 157 college instructors over 8 years and data for over 2,200 high school students over 4 years for the Youth in Transition Study. Results challenge overreliance on simplex models. (SLD)
Descriptors: College Faculty, Comparative Analysis, High School Students, High Schools
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)
Peer reviewed Peer reviewed
Marsh, Herbert W.; Grayson, David – Journal of Educational Statistics, 1990
Tests for mean differences on latent constructs using the LISREL approach to multigroup structural-equation modeling were demonstrated for High School and Beyond data concerning the sophomore cohort. Senior year achievement test scores for 3,700 public and 300 Catholic school students were compared after controlling for background and sophomore…
Descriptors: Academic Achievement, Achievement Tests, Catholic Schools, Cohort Analysis