Specialized imputation routines for multilevel data are widely available in software packages, but these methods are generally not equipped to handle a wide range of complexities that are typical of behavioral science data. In particular, existing imputation schemes differ in their ability to handle random slopes, categorical variables,…

This article presents a multilevel longitudinal nested logit model for analyzing correct response and error types in multilevel longitudinal intervention data collected under a pretest-posttest, cluster randomized trial design. The use of the model is illustrated with a real data analysis, including a model comparison study regarding model…

When a multisite randomized trial reveals between-site variation in program impact, methods are needed for further investigating heterogeneous mediation mechanisms across the sites. We conceptualize and identify a joint distribution of site-specific direct and indirect effects under the potential outcomes framework. A method-of-moments procedure…

Based on the emotion socialization and bioecological models, the present study examined the contributions of teacher emotion socialization (i.e., teacher reactions to child emotions) on children's social-emotional behaviors, and the moderating effect of child temperamental surgency on these relations in the preschool context. A total of 337…

Children from low-income households are at risk for entering school behind their more economically advantaged peers across major domains of school readiness. The Head Start program represents the federal government's response to these achievement gaps by mandating the use of scientifically based assessments and curricula to provide children with…

A latent variable modeling procedure that can be used to evaluate intraclass correlation coefficients in two-level settings with discrete response variables is discussed. The approach is readily applied when the purpose is to furnish confidence intervals at prespecified confidence levels for these coefficients in setups with binary or ordinal…

In recent decades internationalization has risen to prominence in higher education institutions (HEIs). Scholars have identified several rationales for internationalization. There is however a lack of conceptual understanding and empirical evidence for which rationale(s) for internationalization are chosen by a given HEI and why. The goal of this…

Research has shown that racial/ethnic diversity in elementary schools and classrooms benefits children's academic achievement and feelings of safety and belonging. The current study aimed to expand on existing research by examining associations between classroom racial/ethnic composition and upper elementary children's social-emotional development…

This study utilized hierarchical linear modeling analysis of a 10-year extant dataset from Rehabilitation Services Administration to investigate significant predictors of employment outcomes for vocational rehabilitation (VR) clients with autism. Predictor variables were gender, ethnicity, attained education level, IEP status in high school,…

Multiple imputation (MI) can be used to address missing data at Level 2 in multilevel research. In this article, we compare joint modeling (JM) and the fully conditional specification (FCS) of MI as well as different strategies for including auxiliary variables at Level 1 using either their manifest or their latent cluster means. We show with…

This article investigates the relationship between state-level marijuana policies and drug and alcohol violations in on-campus housing. A review of trends in drug usage precedes discussion of a conceptual framework that can help explain how interactions between college and university student housing and state policy impacts student behavior.…

Since the Common School era, states have maintained truancy laws to ensure that students attend school. However, we know little about the severity of these laws and their relationship to student outcomes, particularly absenteeism. In this study, we survey state education statutes to document the severity of truancy policies. We estimate the…

The purpose of this study is to examine the influence of organizational learning on employee's innovative behavior, and further proposed the mediation effect of work engagement between the relationship of organizational learning and employee's innovative behavior. The study targets on executives and their subordinates by paired samples within the…

There is widespread public concern at the high drop-out rates among apprentices in Australia. This paper argues that this concern may be misplaced as it fails to allow for eventual completion over time. We argue that a methodology that concentrates on a single training episode only is less appropriate to evaluating training outcomes in a regime…

As the field of education continues to grow, new methods and approaches to teaching are being developed with the goal of improving students' understanding of concepts. While research exists showing positive effects for particular teaching methods in small case studies, generalizations to larger populations of students, which are needed to…