Simulations were conducted to establish best practice in hyperparameter optimization and accounting for clustering in Generalized Linear Mixed-Effects Model Trees (GLMM trees). Using data-driven best practices, the relationship between a 9th Grade On-Track to Graduate (9G-OTG) indicator and observed high school graduation within four years was…

Sometimes a treatment, such as receiving a high school diploma, is assigned to students if their scores on two inputs (e.g., math and English test scores) are above established cutoffs. This forms a multidimensional regression discontinuity design (RDD) to analyze the effect of the educational treatment where there are two running variables…

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.…

Prior studies have focused on general technology use and technology use in domain-general applications and quantity of technology use. Recent evidence suggests that investigations should consider how technology is used in more contextually specific ways, including how technology is used for various cognitive tasks in specific classrooms. The…

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…

Past research suggests that a sense of belonging to a community is developmentally important for adolescents and affects their engagement in school, especially during the transition to high school. However, little research examines the teaching practices that simultaneously foster classroom belonging and behavioral engagement to create a classroom…

Due to the increased use of scientific models and modelling in K-12 education, there is a need to uncover its effects on students over time. Prior research has shown that the use of scientific modelling in K-12 classes is associated with improved conceptual knowledge and problem-solving skills. However, few studies have explicitly tested the…

This study used a propensity score approach to estimate treatment effects in a multilevel setting. The propensity score approach involves the estimation of propensity scores for covariate balancing and the estimation of treatment effects. This study aimed at understanding how propensity scores estimated through a simple logistic regression compare…

Student engagement is a multidimensional construct influenced by complex student, classroom, and school factors. Although prior research has examined various dimensions of student engagement, few studies have adopted a multilevel approach to simultaneously incorporate observational measures of classroom practices with student and school factors.…

Support from parents and school staff are important for adolescent well-being. However, few studies have examined the role of parental involvement and adult social support at school on high school students' mental health, specifically, suicidal thoughts and behaviors (STBs). Data were collected from 362,980 high school students (51.85% female)…

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…

School belonging is an important component of adolescent well-being, yet little is known about its relationship with adolescents' Information Communication Technology (ICT) use. This study aimed to examine the relationship between school belonging and various ICT use types in Australian adolescents. The sample was drawn from 14,530 Australian…

Given the natural hierarchical structure in school-setting data, multilevel modeling (MLM) has been widely employed in education research using a number of different statistical software packages. The purpose of this article is to review a recent feature of Stat-JR, the statistical analysis assistants (SAAs) embedded in Stat-JR (Version 1.0.5),…

Aside from a student's personal desire to pursue higher education, a culture of high expectations in a school can have important consequences on the individual's achievement. However, the school's 'collective expectation' is affected by many contextual factors like urbanicity. Contributing to the research on urban-rural difference in education and…

This study investigated the effects of educational context variables on two types of achievement: cognitive domain and affective domain. To assess the effects of educational context variables at student and school levels, the National Assessment of Educational Achievement data were used, which were collected by the Korea Educational Development…