The year 2022 is the 20th anniversary of Joseph Schafer and John Graham's paper titled "Missing data: Our view of the state of the art," currently the most highly cited paper in the history of "Psychological Methods." Much has changed since 2002, as missing data methodologies have continually evolved and improved; the range of…

The focus of the current study is on handling the dependence among multiple regression coefficients representing the treatment effects when meta-analyzing data from single-case experimental studies. We compare the results when applying three different multilevel meta-analytic models (i.e., a univariate multilevel model avoiding the dependence, a…

In psychology and the behavioral sciences generally, the use of the hierarchical linear model (HLM) and its extensions for discrete outcomes are popular methods for modeling clustered data. HLM and its discrete outcome extensions, however, are certainly not the only methods available to model clustered data. Although other methods exist and are…

Multilevel modeling has grown in use over the years as a way to deal with the nonindependent nature of observations found in clustered data. However, other alternatives to multilevel modeling are available that can account for observations nested within clusters, including the use of Taylor series linearization for variance estimation, the design…

Research has found that when compared with civilian students, military-connected students in the United States have more negative mental health outcomes, stemming from the stress of military life events (i.e., deployment). To date, studies on military-connected youth have not examined the role of protective factors within the school environment,…

Clustered data (e.g., students within schools) are often analyzed in educational research where data are naturally nested. As a consequence, multilevel modeling (MLM) has commonly been used to study the contextual or group-level (e.g., school) effects on individual outcomes. The current study investigates the use of an alternative procedure to…

School climate has increasingly been recognized as an essential component of school improvement owing to the established associations between a positive school climate and academic outcomes for students. Our study examines associations among a brief measure of school climate assessing elementary student perceptions and the College and Career Ready…

The purpose of this project is to demonstrate the practical methods developed to utilize a dataset consisting of both multivariate and multilevel effect size data. The context for this project is a large-scale meta-analytic review of the predictors of academic achievement. This project is guided by three primary research questions: (1) How do we…

Little is known about the skills children need to successfully collaborate with classmates on academic assignments. The purposes of this study were to identify grade-schoolers' collaborative skills, evaluate the importance of identified skills for collaborative work, and determine whether differences in skill use were related to children's social…

The main objective of this study is to explore the coping behaviours of Israeli continuing education students who combine work and academic studies. Multi-level analyses revealed that: (1) perceived academic stress is determined by academic load and perceived work stress by workload; (2) coping strategies are related to an array of perceived…