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| Structural Equation Models | 3 |
| Estimation (Mathematics) | 2 |
| Classification | 1 |
| Equations (Mathematics) | 1 |
| Factor Analysis | 1 |
| Factor Structure | 1 |
| Goodness of Fit | 1 |
| Identification | 1 |
| Sample Size | 1 |
| Sampling | 1 |
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| Multivariate Behavioral… | 3 |
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| Journal Articles | 3 |
| Reports - Evaluative | 3 |
| Speeches/Meeting Papers | 3 |
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Peer reviewedMcArdle, J. J.; Cattell, Raymond B. – Multivariate Behavioral Research, 1994
Some problems of multiple-group factor rotation based on the parallel proportional profiles and confactor rotation of R. B. Cattell are described, and several alternative modeling solutions are proposed. Benefits and limitations of the structural-modeling approach to oblique confactor resolution are examined, and opportunities for research are…
Descriptors: Factor Analysis, Factor Structure, Structural Equation Models
Peer reviewedRigdon, Edward E. – Multivariate Behavioral Research, 1995
This article presents a straightforward classification system that is a necessary and sufficient condition for identification of the structural component of structural equation models of the block-recursive type with no more than two equations per block. Limitations of other identification techniques are discussed. (SLD)
Descriptors: Classification, Equations (Mathematics), Estimation (Mathematics), Identification
Peer reviewedLa Du, Terence J.; Tanaka, J. S. – Multivariate Behavioral Research, 1995
After reviewing the multiple fit indices in structural equation models, evidence on their behavior is presented through simulation studies in which sample size, estimation method, and model misspecification varied. Two sampling studies, with and without known populations, are presented, and implications for the use of fit indices are discussed.…
Descriptors: Estimation (Mathematics), Goodness of Fit, Sample Size, Sampling
