Unidim: An index of scale homogeneity and unidimensionality.

William Revelle, David M. Condon · Psychological Methods · 2025

How to evaluate how well a psychological scale measures just one construct is a recurring problem in assessment. We introduce an index, u, of the unidimensionality and homogeneity of a scale. u is just the product of two other indices: τ (a measure of τ equivalence) and ρc (a measure of congeneric fit). By combining these two indices into one, we provide a simple index of the unidimensionality and homogeneity of a scale. We evaluate u through simulations and with real data sets. Simulations of u across one-factor scales ranging from three to 24 items with various levels of factor homogeneity show that τ and, therefore, u are sensitive to the degree of factor homogeneity. Additional tests with multifactorial scales representing 9, 18, 27, and 36 items with a hierarchical factor structure varying in a general factor loading show that ρc and, therefore, u are sensitive to the general factor saturation of a test. We also demonstrate the performance of u on 45 different publicly available personality and ability measures. Comparisons with traditional measures (i.e., ωh, α, ωt, comparative fit index, and explained common variance) show that u has greater sensitivity to unidimensional structure and less sensitivity to the number of items in a scale. u is easily calculated with open source statistical packages and is relatively robust to sample sizes ranging from 100 to 5,000. (PsycInfo Database Record (c) 2025 APA, all rights reserved).

Read the paper · More papers on PaperTik