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| Causal Models | 2 |
| Structural Equation Models | 2 |
| Correlation | 1 |
| Goodness of Fit | 1 |
| Mathematical Models | 1 |
| Statistical Bias | 1 |
| Theories | 1 |
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| Structural Equation Modeling | 2 |
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| Boadu, Kwame | 1 |
| Cummings, Greta | 1 |
| Dosman, Donna | 1 |
| Gillespie, Michael | 1 |
| Grygoryev, Kostyantyn | 1 |
| Hayduk, Leslie | 1 |
| Nimmo, Melanie | 1 |
| Pazderka-Robinson, Hannah | 1 |
| Robles, Jaime | 1 |
| Stratkotter, Rainer | 1 |
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| Journal Articles | 2 |
| Reports - Descriptive | 1 |
| Reports - Evaluative | 1 |
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Peer reviewedHayduk, Leslie; Cummings, Greta; Stratkotter, Rainer; Nimmo, Melanie; Grygoryev, Kostyantyn; Dosman, Donna; Gillespie, Michael; Pazderka-Robinson, Hannah; Boadu, Kwame – Structural Equation Modeling, 2003
Provides an introduction to the structural equation modeling concepts developed by J. Pearl, discussing the concept he calls "d-separation." Explains how d-separation connects to control variables, partial correlations, causal structuring, and even a potential mistake in regression. (SLD)
Descriptors: Causal Models, Correlation, Structural Equation Models, Theories
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
