Descriptor
| Causal Models | 2 |
| Error of Measurement | 2 |
| Predictor Variables | 2 |
| Research Methodology | 2 |
| Statistical Analysis | 2 |
| Structural Equation Models | 2 |
| Theories | 2 |
| Data Analysis | 1 |
| Factor Analysis | 1 |
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| Mid-Western Educational… | 2 |
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| Journal Articles | 2 |
| Reports - Descriptive | 2 |
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Peer reviewedPohlmann, John T. – Mid-Western Educational Researcher, 1993
Nonlinear relationships and latent variable assumptions can lead to serious specification errors in structural models. A quadratic relationship, described by a linear structural model with a latent variable, is shown to have less predictive validity than a simple manifest variable regression model. Advocates the use of simpler preliminary…
Descriptors: Causal Models, Error of Measurement, Predictor Variables, Research Methodology
Peer reviewedSchumacker, Randall E. – Mid-Western Educational Researcher, 1993
Structural equation models merge multiple regression, path analysis, and factor analysis techniques into a single data analytic framework. Measurement models are developed to define latent variables, and structural equations are then established among the latent variables. Explains the development of these models. (KS)
Descriptors: Causal Models, Data Analysis, Error of Measurement, Factor Analysis
