An Assessment of the Trait Validity of Cognitive Age Measures

We extend the concept of cognitive age and assess the internal validity of a direct, multiple-item approach to its measurement. A multitrait–multimethod matrix consisting of the correlations between average cognitive age, ideal age, and least desired age, as measured by three methods (semantic differential, ratio, and Likert scales), was developed and analyzed using three models: confirmatory factor analysis, correlated uniqueness, and direct product. The correlated uniqueness model performed well in terms of goodness-of-fit, and the results provide evidence of convergent and discriminant validity, as well as the strength of age traits, relative to methods, in explaining matrix variance. Also, the semantic differential scale performed best in explaining the trait variance of a composite of cognitive age measures. The findings provide strong support for the internal validity of the cognitive age concept and the use of the semantic differential as the scale of choice for cognitive age research.

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