Nonlinear factor analysis is a tool commonly used by measurement specialists to identify both the presence and nature of multidimensionality in a set of test items, an important issue given that standard Item Response Theory models assume a unidimensional latent structure. Results from most factor-analytic algorithms include loading matrices,…

Results indicate that factor types in Q-technique studies will be considerably more influenced by ordering preferences than they will be by distribution preferences. (AG)

In a Monte Carlo simulation, a methodology was developed to investigate the existence of radex properties among objective test items. In an experiment with items covering four categories of Bloom's cognitive domain taxonomy, the items did not have the factorial properties of a radex with four levels of complexity. (Author/BW)

Comparison of the correlates of two spatial ability tests that used the same item type but different test design principles (cognitive design versus psychometric design) indicated differences in the factorial complexity of the two tests. For the sample of 209 undergraduates, the impact of verbal abilities was substantially reduced by applying the…

The Self-Description Questionnaire III (SDQ III) was designed to measure 13 factors of self-concept. The reliabilities of the factors were high, and correlations among them were low. Academic achievement measures in language and mathematics were correlated with self-concepts in the same areas but not with other self-concept factors. (Author/DWH)