On specifying the null model for incremental fit indices in structural equation modeling.
In structural equation modeling, incremental fit indices are based on the comparison of the fit of a substantive model to that of a null model. The standard null model yields unconstrained estimates of the variance (and mean, if included) of each manifest variable. For many models, however, the standard null model is an improper comparison model. In these cases, incremental fit index values reported automatically by structural modeling software have no interpretation and should be disregarded. The authors explain how to formulate an acceptable, modified null model, predict changes in fit index values accompanying its use, provide examples illustrating effects on fit index values when using such a model, and discuss implications for theory and practice of structural equation modeling.
Widaman
Keith F
KF
Department of Psychology, University of California, Davis 95616-8686, USA. kfwidaman@ucdavis.edu
Thompson
Jane S
JS
D003627:Data Interpretation, Statistical; D006801:Humans; D008432:Mathematical Computing; D015233:Models, Statistical; D011581:Psychological Tests / Q000706:statistics & numerical data; D011594:Psychometrics / Q000706:statistics & numerical data*; D015203:Reproducibility of Results; D012984:Software