Abstract

Some problems in the measurement of latent variables in structural equations causal models are presented, with examples from recent empirical studies. Latent variables that are theoretically the source of correlation among the empirical indica tors are differentiated from unmeasured variables that are related to the empirical indicators for other reasons. It is pointed out that these should also be represented by different analytical models, and that much published research has treated this distinction as if it had no analytic consequences. The connection between this theoretical distinction and disattenuation effects in latent variable models is shown, and problems with these estimates are discussed. Finally, recommendations are made for decisions about whether and how to measure latent variables when manifest variables are potentially available.

Keywords

Latent variableStructural equation modelingEconometricsLatent variable modelLocal independenceLatent class modelCausal modelVariablesEmpirical researchMathematicsStatistics

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Year
1990
Type
article
Volume
14
Issue
2
Pages
183-196
Citations
312
Access
Closed

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Patricia Cohen, Jacob Cohen, Jeanne A. Teresi et al. (1990). Problems in the Measurement of Latent Variables in Structural Equations Causal Models. Applied Psychological Measurement , 14 (2) , 183-196. https://doi.org/10.1177/014662169001400207

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DOI
10.1177/014662169001400207