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…

Improvement in student performance from educational reforms has driven current calls for changes in curricular, instructional, and assessment practices in higher education. Less research has addressed the possibility of such reforms aiding in resolving the well-documented inequities in educational outcomes between sexes and races/ethnicities in…

Informed by two theoretical models of homework effects, we extended a model of homework on mathematics achievement in a large sample of Chinese eighth graders. Our model incorporated six clusters of homework variables -- student background factors, homework characteristics, teacher variables, parent variables, student motivation, and homework…

Large-scale education data are collected via complex sampling designs that incorporate clustering and unequal probability of selection. Multilevel models are often utilized to account for clustering effects. The probability weighted approach (PWA) has been frequently used to deal with the unequal probability of selection. In this study, we examine…

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.…

Future-oriented decision-making is an important adaptive behavior. In the present study, we examined whether decision-making varies as a function of socioeconomic status (SES) using the Children's Gambling task (CGT). We administered the CGT to 227 children (49% female, 48% low SES) between the ages of 5 and 7 years. After completing the CGT, we…

In recent years, the Royal Government of Cambodia has strongly emphasised the issue of school dropout. To date, many Cambodian workers have still not completed at least nine years of basic education due to the high dropout rate. Additionally, a great number of students at the secondary level continue to leave school early. To deal with the high…

Current practices for growth mixture modeling emphasize the importance of the proper parameterization and number of classes, but the impact of these decisions on latent class composition and the substantive implications has not been thoroughly addressed. Using measures of behavior from 575 middle school students, we compared the results of several…

Purpose: Bayesian multilevel models are increasingly used to overcome the limitations of frequentist approaches in the analysis of complex structured data. This tutorial introduces Bayesian multilevel modeling for the specific analysis of speech data, using the brms package developed in R. Method: In this tutorial, we provide a practical…

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…

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…

We examined student reading achievement in rural and non-rural school districts in Texas. Our research questions probed the improvement in student performance over time, differences in the number of students achieving at different performance levels, and the impact of district-level characteristics on reading achievement. Through quantitative…

Level 3 characteristics are increasingly important for fingerprint identification, particularly when the fingerprints are problematic and lack level 2 details. In practice, no reliable visualization methods for level 3 features are transferred into a course for the general public, forensic students, or investigators. Our group has reported the…

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 article addresses ethnosurvey methodology, a combination of ethnographic and survey research in migrant origin and destination countries, that is designed to elucidate a better understanding of the multiple facets of migration processes. First, the article reviews the utility of ethnosurvey methodology for researching contemporary migration.…