This article proposes a latent variable regression four-level hierarchical model (LVR-HM4) that uses a fully Bayesian approach. Using multisite multiple-cohort longitudinal data, for example, annual assessment scores over grades for students who are nested within cohorts within schools, the LVR-HM4 attempts to simultaneously model two types of…

Item response theory (IRT) models are the main psychometric approach for the development, evaluation, and refinement of multi-item instruments and scaling of latent traits, whereas multilevel models are the primary statistical method when considering the dependence between person responses when primary units (e.g., students) are nested within…

This study examined the impact of performance goals on arithmetic strategy use, and how same-sex peer groups contributed to the selection of strategies used by first-graders. It was hypothesized that gender differences in strategy use are a function of performance goals and the influence of same-sex peers. Using a sample of 75 first grade…

This study examined mathematics achievement growth of students without disabilities (SWoD) and students with learning disabilities (LD) and tested whether growth and LD status interacted with student demographic characteristics. Growth was estimated in a statewide sample of 79,554 students over Grades 3 to 7. The LD group was significantly lower…

The authors investigated whether participation in school-based extracurricular activities would predict social and behavioral outcomes (school membership, peer prosocial orientation, and prosocial behavior) associated with school social capital in a group of Hispanic middle school students from the United States of America. Results of hierarchical…

Dominance analysis (DA) is a method used to evaluate the relative importance of predictors that was originally proposed for linear regression models. This article proposes an extension of DA that allows researchers to determine the relative importance of predictors in hierarchical linear models (HLM). Commonly used measures of model adequacy in…

Children's evolving understanding of polysemy represents a unique aspect of semantic knowledge that is rarely addressed in reading theory or intervention. The ubiquity of words with multiple meanings in written language, however, underscores its importance for the development of fluent reading and comprehension. Early struggling readers'…

This research is motivated by an analysis of reading research data. We are interested in modeling the test outcome of ability to fluently recode letters into sounds of kindergarten children aged between 5 and 7. The data showed excessive zero scores (more than 30% of children) on the test. In this dissertation, we carefully examine the models…

This summary reports the findings from two cluster-randomised trials of Drinkaware's school-based In:tuition life skills and alcohol education intervention: one trial of the programme for 10-11 year olds in primary schools, and another for 12-13 year olds in secondary schools. The trials have been carried out by the National Foundation for…

This study examined students' movement in and out of special education and predictors for later special education placement. The sample ( N = 556) came from a response to intervention (RTI) study, specifically, a cluster-randomized control field trial that undertook the development and study of a hybrid Tier 1 (classroom instruction) and Tier 2…

NCLB policies in the United States focus schools' efforts on implementing effective instructional processes to improve student outcomes. This study looks more specifically at how schools are perceived to be implementing state required curricula and benchmarks and developing teaching and learning processes that support the teaching of state…