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Abstract

This article illustrates a specification error problem in a simple structural model. A quadratic relationship, described by a linear structural model with a latent variable, is shown to have less predictive validity than a simple manifest variable regression model. The use of simpler analyses that require fewer structural assumptions is advocated as a preliminary analysis to latent variable structural modeling. A discussion of the role of statistical models in the detection of causal relationships is also provided.

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