Reducing dropout rates is a major issue in Cambodia. This study examined the effects of school-level and student-level factors on dropout in rural Cambodian primary schools. We collected data of the same students over 3 years by visiting the same school. We used questionnaires for students and parents, checklists of school facilities, checklists…

School climate is one of the variables that affect academic achievement, but the level of correlation between school climate and academic achievement differs. On the basis of these inconsistent results between school climate and academic achievement, researchers can use meta-analyses to shed light on relevant literature. The present study ran a…

The quality of exams drives test-taking behavior of examinees and is a proxy for the quality of teaching. As most university exams have strict time limits, and speededness is an important measure of the cognitive state of examinees, this might be used to assess the connection between exams' quality and examinees' performance. The practice of…

This study introduces an innovative meta-analytic approach, two-stage multilevel meta-analysis that considers the hierarchical structure of single-case experimental design (SCED) data. This approach is unique as it is suitable to include moderators at the intervention level, participant level, and study level, and is therefore especially…

Teachers' job satisfaction (TJS) can be defined as the emotional reactions of teachers to their jobs or teaching roles. In this study, it is aimed to investigate the determinants of teachers, principal and school-based factors on job satisfaction of teachers. In this study, which is based on relational survey model, secondary data obtained from…

Disengaged item responses pose a threat to the validity of the results provided by large-scale assessments. Several procedures for identifying disengaged responses on the basis of observed response times have been suggested, and item response theory (IRT) models for response engagement have been proposed. We outline that response time-based…

When contextual features of test-taking environments differentially affect item responding for different test takers and these features vary across test administrations, they may cause differential item functioning (DIF) that varies across test administrations. Because many common DIF detection methods ignore potential DIF variance, this article…

The multilevel social relations model (SRM) is a commonly used statistical method for the analysis of social networks. In this article and accompanying supplemental materials, we demonstrate the estimation and interpretation of the SRM using Stat-JR software. Multiple software templates permit the analysis of different response types, including…

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…

Recently, researchers have used multilevel models for estimating intervention effects in single-case experiments that include replications across participants (e.g., multiple baseline designs) or for combining results across multiple single-case studies. Researchers estimating these multilevel models have primarily relied on restricted maximum…

Many research problems in social science involve multilevel phenomena. However, discussions about multilevel research designs are limited in the mixed methods (MM) literature. Building on early writings in the field, this methodological discussion advances a refined definition of a multilevel MM research design. The refinement emerges from a…

For the most part, the effects of lexical-distributional properties of words on visual word recognition are well-established. More uncertainty remains, however, about the influence of these properties on lexical processing for nonwords. The work presented here investigates the mechanisms that guide nonword processing through an analysis of lexical…

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…

In this study we examined the relationship of students' 21st century skills with their academic and behavioral outcomes. We investigated K-12 teachers' (n = 150) judgment of students' (n = 3,108) use of 21st century skills (i.e., persistence, curiosity, affect, and cognition behaviors) via a Likert-type rating scale. We compared teachers' ratings…

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…