A great deal of recent methodological research has focused on two modern missing data analysis methods: maximum likelihood and multiple imputation. These approaches are advantageous to traditional techniques (e.g. deletion and mean imputation techniques) because they require less stringent assumptions and mitigate the pitfalls of traditional…

Multiple linear regression and ANOVA models are widely used in applications since they provide effective statistical tools for assessing the relationship between a continuous dependent variable and several predictors. However these models rely heavily on linearity and normality assumptions and they do not accommodate categorical dependent…

Concern and research involving the overrepresentation of African American students in the category of mild intellectual disability (MID) has existed for over four decades. Yet, little research focuses exclusively on the disproportionate representation of African American students at the secondary level. This study analyzed the National…

Background: Oral language skills in the preschool and early school years are critical to educational success and provide the foundations for the later development of reading comprehension. Methods: In a randomized controlled trial, 180 children from 15 UK nursery schools ("n" = 12 from each setting; M[subscript age] = 4;0) were randomly…

Teachers are the primary agents for creating and maintaining a positive classroom climate--and promoting healthy interpersonal relations with, and among, their students (including the prevention of school bullying) is key to achieving this goal. For this study it was posited that students' willingness to report bullying to their teachers is an…

A scale was developed to measure perceptions of sexual abuse in youth sports by assessing (a) the perceived prevalence of sexual abuse committed by pedophilic youth sport coaches, (b) the perceived likelihood that a coach is a pedophile, (c) perceptions on how youth sport organizations should manage the risk of pedophilia, and (d) media influence…

Understanding students' intentions to study science at upper-secondary school, at university, and to follow science careers continues as a central concern for international science education. Prior research has highlighted that students' science confidence has been associated with their intentions to study science further, although…

The Epistemic Beliefs Inventory (EBI), as a theory-based and empirically validated instrument, was originally developed and widely used in the North American context. Through a strict translation procedure the authors translated the EBI into Chinese, and then administered it to 451 students in 7 universities in mainland China. The construct…

Despite the widespread popularity of growth curve analysis, few studies have investigated robust growth curve models. In this article, the "t" distribution is applied to model heavy-tailed data and contaminated normal data with outliers for growth curve analysis. The derived robust growth curve models are estimated through Bayesian…

Differential item functioning (DIF) of items has become an important issue in test fairness and equity in large-scale assessments. DIF occurs when subgroups of test takers have equal trait levels but differ in their probabilities of a correct response. DIF items may threaten the validity of test scores for subgroups and can mislead researchers…

Maximum likelihood (ML) estimation of generalized linear mixed models (GLMMs) is technically challenging because of the intractable likelihoods that involve high dimensional integrations over random effects. The problem is magnified when the random effects have a crossed design and thus the data cannot be reduced to small independent clusters. A…

Markov chain Monte Carlo (MCMC) methods enable a fully Bayesian approach to parameter estimation of item response models. In this simulation study, the authors compared the recovery of graded response model parameters using marginal maximum likelihood (MML) and Gibbs sampling (MCMC) under various latent trait distributions, test lengths, and…

The article extends and applies previous approaches by Klauer and Fischer to the statistical evaluation of ability changes in tests conforming to the Rasch model (RM). Exact uniformly most powerful unbiased (UMPU) hypothesis tests and uniformly most accurate (UMA) confidence intervals (CIs) for the amount of change can be constructed for each…

This study examines how audiovisual signals are combined in time for a temporal analogue of the ventriloquist effect in a purely temporal context, that is, no spatial grounding of signals or other spatial facilitation. Observers were presented with two successive intervals, each defined by a 1250-ms tone, and indicated in which interval a brief…

This study elaborates the Rasch differential item functioning (DIF) model formulation under the marginal maximum likelihood estimation context. Also, the Rasch DIF model performance was examined and compared with the Mantel-Haenszel (MH) procedure in small sample and short test length conditions through simulations. The theoretically known…