Abstract
This article presents a model for investigating the effects of general and specific processes on intelligence as criterion variable. The model enables the representation of the processes as exogenous latent variables that predict the criterion, that is, the endogenous latent variable. The representation of these processes is achieved by the decomposition of the variances of the manifest variables. The decomposition presupposes the constraint of the loadings of the manifest variables on the latent variables. Smooth functions obtained on the basis of mean scores aid the attainment of constraints for the specific processes. Several alternative types of constraints for the general process are considered. The results of an empirical investigation demonstrate that constraints according to weighted uniformity are most appropriate. An example is provided.
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