title: The assessment of unidimensionality of normal and lognormal data: a look at two nonparametric procedures.
abstract: In this Monte Carlo study, the Type I error rate and the power of the Stout T procedure (DIMTEST) and the Holland-Rosenbaum procedure (HR) were examined for normal and lognormal data sets. Both procedures are based on a nonparametric item response model, where the key assumption is the item response function is monotonically nondecreasing. The two procedures performed adequately under certain conditions for both normal and lognormal data sets. Of the two, however, the Stout T procedure showed adequate power under more conditions than the Holland-Rosenbaum procedure.
authors: Educational Psychology, College of Education, University of Florida, P.O. Box 117047, Gainesville 32611, USA. seraphine@coe.ufl.edu
authors: A E
authors: AE
authors: Seraphine
authors: J J
authors: JJ
authors: Algina
authors: M D
authors: MD
authors: Miller
mesh_terms: D015233:Models, Statistical; D009010:Monte Carlo Method; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity