This study investigates the performance of robust maximum likelihood (ML) estimators when fitting and evaluating small sample latent growth models with non-normal missing data. Results showed that the robust ML methods could be used to account for non-normality even when the sample size is very small (e.g., N < 100). Among the robust ML…

A simulation study was conducted to investigate the model size effect when confirmatory factor analysis (CFA) models include many ordinal items. CFA models including between 15 and 120 ordinal items were analyzed with mean- and variance-adjusted weighted least squares to determine how varying sample size, number of ordered categories, and…

In the Response to Intervention framework, a psychometrically sound screening tool is essential for identification of children with emotional and behavioral risk. The purpose of this study was to examine the validity of the Pediatric Symptom Checklist-17 (PSC-17) screener in school-based settings. Forty-four teachers rated 738 preschoolers using…

A screening instrument used to identify young children at risk for behavioral and emotional difficulties, the Behavioral and Emotional Screening System Teacher Rating Scale-Preschool was examined. The Rasch Rating Scale Method was used to provide additional information about psychometric properties of items, respondents, and the response scale.…