On desirability of parsimony in structural equation model selection
- 1 January 1999
- journal article
- research article
- Published by Taylor & Francis in Structural Equation Modeling: A Multidisciplinary Journal
- Vol. 6 (3) , 292-300
- https://doi.org/10.1080/10705519909540135
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.Keywords
This publication has 12 references indexed in Scilit:
- Satisfying a Simplex Structure is Simpler Than it Should Be: A Latent Curve Analysis RevisitMultivariate Behavioral Research, 1998
- Is Parsimony Always Desirable: Response to Sivo and Willson, Hoyle, Markus, Mulaik, Tweedledee, Tweedledum, the Cheshire Cat, and OthersThe Journal of Experimental Education, 1998
- Parsimony and Model EvaluationThe Journal of Experimental Education, 1998
- A note on multiple sample extensions of the RMSEA fit indexStructural Equation Modeling: A Multidisciplinary Journal, 1998
- Model specification searches in structural equation modeling using tabu searchStructural Equation Modeling: A Multidisciplinary Journal, 1998
- Choosing a multivariate model: Noncentrality and goodness of fit.Psychological Bulletin, 1990
- Evaluation of goodness-of-fit indices for structural equation models.Psychological Bulletin, 1989
- Structural Equations with Latent VariablesPublished by Wiley ,1989
- Satisfying a Simplex Structure Is Simpler Than It Should BeJournal of Educational Statistics, 1985
- ESTIMATION AND TESTING OF SIMPLEX MODELSBritish Journal of Mathematical and Statistical Psychology, 1970