Multilevel Rasch models are increasingly used to estimate the relationships between test scores and student and school factors. Response data were generated to follow one-, two-, and three-parameter logistic (1PL, 2PL, 3PL) models, but the Rasch model was used to estimate the latent regression parameters. When the response functions followed 2PL…

This quantitative study examined the role of mentoring on 332 Hispanic graduate students' sense of belonging and academic self-efficacy. The results found that mentored Hispanic graduate students reported significantly higher levels of sense of belonging and academic self-efficacy than unmentored students. A hierarchical regression found 24% of…

Despite a growing body of turnover literature, much remains unknown about the factors predicting career transitional behaviors of school principals. To bridge this gap, we examined variations in principal, school, and district characteristics influencing administrator leaver and mover behaviors, using Hierarchical Generalized Linear Modeling. Our…

This study is concerned with the central issues of community service engagement (CSE) in 21st century democratic societies around the world. To examine the factors influencing postsecondary education attainment's relationship to CSE, this study utilized data from the Organization for Economic Co-operation and Development (OECD) countries using…

This study develops an Hierarchical Linear Model (HLM) model in order to identify the predictors that have an effect on teachers' achievement in curriculum 2013 training. It is a two-level model with teacher's characteristics as Level 1 variables and facilitators characteristics as Level 2 variables. The analysis in this study uses secondary data.…

Despite the broad appeal of missing data handling approaches that assume a missing at random (MAR) mechanism (e.g., multiple imputation and maximum likelihood estimation), some very common analysis models in the behavioral science literature are known to cause bias-inducing problems for these approaches. Regression models with incomplete…

We consider two-level models where a continuous response R and continuous covariates C are assumed missing at random. Inferences based on maximum likelihood or Bayes are routinely made by estimating their joint normal distribution from observed data R[subscript obs] and C[subscript obs]. However, if the model for R given C includes random…

This investigation examined whether teacher practices, as measured by the Classroom Strategies Assessment System (CSAS), were associated with students' proficiency and gain scores, as measured by the Measure of Academic Progress (MAP), in 13 high-poverty charter schools in New Jersey. Results from two-level hierarchical linear models, fitted to a…

This study examines disruptions to postsecondary education plans in the United States during the COVID-19 pandemic. Using nationally representative data from the U.S. Census Bureau's Household Pulse Survey from August 2020 through March 2021, we investigate the prevalence, forms, reasons, and disparities of education disruption across different…

The paper aims to evaluate and compare across a large range of countries the impact of gender diversity on the overall job satisfaction of lower-secondary education teachers. It also seeks to examine whether the effects of gender similarity are asymmetrical for men and women. The empirical evidence is based on the estimation of multilevel models…

The purpose of the current study was to investigate both studentlevel and school-level factors influencing reading literacy of students in Turkey by using PISA 2018 data. The study focused on reading literacy since the main subject of PISA 2018 was selected as reading literacy. The design of the study is a correlational research examining the…

School effectiveness is a topic of interest addressed by numerous research projects focused on clarifying which variables contribute to the explanation of educational performance. This research aims to find out to what extent social, cultural, and academic variables at the student and school levels, as perceived by families, influence performance,…

As the economic landscape changes, a college degree has become increasingly necessary for securing employment in an information-based society. Student engagement is an important factor in predicting and preventing high school dropout, and improving student outcomes. Although the relationship between secondary school engagement and high school…

Background: Peer aggression is defined as acts intended or perceived as intended to cause harm. Most research has focused on either micro or macro-level associations, however, less attention has been given to the collective contributions of both micro and macro levels. Objectives: The present study focuses on verbal, physical, and cyber…

Many studies suggest students' socioeconomic status (SES) predicts academic performance as well as employment and further education outcomes for students both with and without disabilities. The extent to which SES affects the precedents for those outcomes, or the non-academic transition skills identified as being predictive of those post-school…