This article compares a variety of imputation strategies for ordinal missing data on Likert scale variables (number of categories = 2, 3, 5, or 7) in recovering reliability coefficients, mean scale scores, and regression coefficients of predicting one scale score from another. The examined strategies include imputing using normal data models with naïve rounding/without rounding, using latent va...

Discriminant analysis for two data sets in IR d with probability densities f and g can be based on the estimation of the set G = fx : f(x) g(x)g. We consider applications where it is appropriate to assume that the region G has a smooth boundary. In particular, this assumption makes sense if discriminant analysis is used as a data analytic tool. We discuss optimal rates for estimation of G.

Word Count: 47 Manuscript Word Count: 4387 Repeated measures discriminant analysis 2

This study investigates the factorial structure and validity of the Quantified Behavior Test Plus (Qb+©), a computerized test to objectively evaluate the three attention deficit/hyperactivity disorder core symptoms, hyperactivity, inattention, and impulsivity, independently. Confirmatory and exploratory factor analyses were conducted with an outpatient sample of 773 subjects ≥12 years old. In a...

Logistic regression and discriminant analyses are both applied in order to predict the probability of a specific categorical outcome based upon several explanatory variables (predictors). The aim of this work is to evaluate the convergence of these two methods when they are applied in data from the health sciences. For this purpose, we modeled the association of several factors with the prevale...