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| Causal Models | 2 |
| Goodness of Fit | 2 |
| Error of Measurement | 1 |
| Longitudinal Studies | 1 |
| Mathematical Models | 1 |
| Monte Carlo Methods | 1 |
| Statistical Bias | 1 |
| Structural Equation Models | 1 |
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| Structural Equation Modeling | 2 |
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| Journal Articles | 2 |
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Peer reviewedRobles, Jaime – Structural Equation Modeling, 1996
A theoretical and philosophical revision of the concept of fit in structural equation modeling and its relation to a confirmation bias is developed. The neutral character of fit indexes regarding this issue is argued, concluding that protection against confirmation bias relies on model modification strategy and scientist behavior. (SLD)
Descriptors: Causal Models, Goodness of Fit, Mathematical Models, Statistical Bias
Peer reviewedSivo, Stephen A.; Willson, Victor L. – Structural Equation Modeling, 2000
Studied whether moving average or autoregressive moving average models fit two longitudinal data sets previously thought to possess quasi-simplex structures better than the quasi-simplex, one-factor, or autoregressive models. Results of a Monte Carlo study show the importance of evaluating the fit, propriety, and parsimony of models before one…
Descriptors: Causal Models, Error of Measurement, Goodness of Fit, Longitudinal Studies
