Abstract
The problem of assigning empirical meaning to unobserved variables in structural equation models is discussed. Interpretational confounding is discussed as the assignment of the other than a priori assigned empirical meaning of an unobserved variable. Hypotheses conceming the possibility of interpretational confounding as a concomitant of a lack of point variability in unobserved variables are specified, and corresponding chi-square statistics are given. Numerical illustration is provided
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