The Statistical Assessment of Latent Trait Dimensionality in Psychological Testing.
William Stout · Defense Technical Information Center (DTIC) · 1984
Assuming a nonparametric item response theory model, a large sample procedure for testing the unidimensionality of the latent ability space is proposed. Under the assumption of unidimensionality, the asymptotic distribution of the test statistic is derived, thereby establishing an asymptotically valid statistical test of unidimensionality. A rigorous mathematical definition of dimensionality is proposed as an alternative to the classical item response theory definition of dimensonality. This new definition, while item response theory based, is more analogous to the factor analytic notion of dimensionality and as such is more congruent with the conception of dimensionality held by applicators. The statistical test procedure is shown to have asymptotic power 1 for multidimensional (in our sense) tests. Monte Carlo studies, using a specially written Fortran program, indicate good agreement with the nominal level of significance when unidimensionality holds and good power performance for examinee sample sizes and psychological test lengths often encountered in practice.