On desirability of parsimony in structural equation model selection

Tenko Raykov · George A. Marcoulides

102 citations0/0 files storedStructural Equation Modeling A Multidisciplinary Journal

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Psychometric Methodologies and Testing Statistical Methods and Applications Statistical Methods and Inference

Abstract

This article is concerned with issues in structural equation model selection that pertain to the general utility of the well‐known principle of parsimony. An example is provided using data generated by a relatively nonparsimonious simplex model and fitted rather well by a parsimonious growth curve model that belongs to a different class of models. Implications for empirical research are subsequently discussed, with emphasis on the extent to which one may be willing to routinely use parsimony as the only principle to follow in structural model selection.

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References

1992Alternative Ways of Assessing Model Fit 1989Structural Equations with Latent Variables 1991Structural Equations with Latent Variables.1994Testing Structural Equation Models.1995Testing Structural Equation Models.2013The Logic of Scientific Discovery 1989LISREL 7 : user's reference guide 1989Evaluation of goodness-of-fit indices for structural equation models.

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