Exploratory factor analysis (EFA) is often conducted with ordinal data (e.g., items with 5-point responses) in the social and behavioral sciences. These ordinal variables are often treated as if they were continuous in practice. An alternative strategy is to assume that a normally distributed continuous variable underlies each ordinal variable.…

Examines intrinsic individual differences in conceptual behavior with a multivariate model, three mode factor analysis. The analyses yielded five individual difference performance factors, three stage factors, and four response components indicating the importance of a multivariate representation of complex behavior. (Author/DEP)