Bias of Exploratory and Cross-Validated DETECT Index Under Unidimensionality

DETECT is a nonparametric ``full'' dimensionality assessment procedure that clusters dichotomously scored items into dimensions and provides a DETECT index of magnitude of multidimensionality. Four factors (test length, sample size, item response theory [IRT] model, and DETECT index) were manipulated in a Monte Carlo study of bias, standard error, and root mean square error (RMSE) under the condition of unidimensionality. Bias, standard error,...