Abstract
Results from regression models of status attainment may be misleading if variables are not accurately measured. One tempting strategy for dealing with these validity and reliability problems is to construct models which treat measured variables as fallible indicators of true characteristics or as causes of these traits. This paper contrasts results from two such latent variable models with results from the Wisconsin regression model of status attainment. The data come from the Project Talent, Wisconsin, and EEO surveys. Both models illustrate the gains that come from latent variable models compared to regression analyses. They also illustrate the price an investigator pays for such gains.
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