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| Scores | 4 |
| Structural Equation Models | 4 |
| Factor Analysis | 2 |
| Factor Structure | 2 |
| Reliability | 2 |
| Bayesian Statistics | 1 |
| College Students | 1 |
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| Error of Measurement | 1 |
| Estimation (Mathematics) | 1 |
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| Structural Equation Modeling | 4 |
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| Cook, Colleen | 1 |
| Dunbar, Stephen B. | 1 |
| Heath, Fred | 1 |
| Lee, Sik-Yum | 1 |
| Lei, Pui-Wa | 1 |
| Raines-Eudy, Ruth | 1 |
| Song, Xin-Yuan | 1 |
| Thompson, Bruce | 1 |
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Peer reviewedSong, Xin-Yuan; Lee, Sik-Yum – Structural Equation Modeling, 2002
Developed a Bayesian approach for a general multigroup nonlinear factor analysis model that simultaneously obtains joint Bayesian estimates of the factor scores and the structural parameters subjected to some constraints across different groups. (SLD)
Descriptors: Bayesian Statistics, Estimation (Mathematics), Factor Analysis, Scores
Peer reviewedRaines-Eudy, Ruth – Structural Equation Modeling, 2000
Demonstrates empirically a structural equation modeling technique for group comparison of reliability and validity. Data, which are from a study of 495 mothers' attitudes toward pregnancy, have a one-factor measurement model and three sets of subpopulation comparisons. (SLD)
Descriptors: Factor Analysis, Factor Structure, Mothers, Parent Attitudes
Direct linkLei, Pui-Wa; Dunbar, Stephen B. – Structural Equation Modeling, 2004
The primary purpose of this study was to examine relative performance of 2 power estimation methods in structural equation modeling. Sample size, alpha level, type of manifest variable, type of specification errors, and size of correlation between constructs were manipulated. Type 1 error rate of the model chi-square test, empirical critical…
Descriptors: Measures (Individuals), Structural Equation Models, Computation, Scores
Peer reviewedThompson, Bruce; Cook, Colleen; Heath, Fred – Structural Equation Modeling, 2003
Used confirmatory factor analysis to evaluate the score integrity of LibQUALl+, an instrument to measure perceptions of library service quality. Results for 60,027 graduate and undergraduate students suggest that the model implied by LibQUAL is reasonable and invariant across independent samples and fits all three major subgroups of library users.…
Descriptors: College Students, Evaluation Methods, Factor Structure, Higher Education
