Regression mixture models are a statistical approach used for estimating heterogeneity in effects. This study investigates the impact of sample size on regression mixture's ability to produce "stable" results. Monte Carlo simulations and analysis of resamples from an application data set were used to illustrate the types of problems that…

Using a multinomial regression and a nationally representative sample of school counselors, we examined the factors influencing the percentage of time school counselors spend on career planning. Findings indicate that the school locale, school type, percentage of non-White students, and the number of full-time counselors were significant…

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…

A large body of work has shown that science teacher knowledge is one of the most fundamental components of effective teaching and learning. Our study analyzes the Praxis® Earth and Space Science Content Knowledge Test (ESS CKT) from May 2006 to June 2016. We present one of the largest datasets comprising 11,273 ESS teacher candidates in order to…

Statistical association is a key facet of statistical literacy: claims based on relationships between variables or ideas rooted in data are found everywhere in media and discourse. A key development in introductory statistics curricula is the use of simulation-based inference, which has shown positive outcomes for students, especially in regards…

This article describes the collaborative efforts of various state and national agencies working together to recruit and retain agriculture teachers in the states of Kentucky, South Carolina, and Ohio. We contrast multiple measures of recruitment and retention in these states with those from the comparator states of Arkansas, West Virginia, and…

Regression Tree Method is not yet a mainstream method in Education, despite of being a traditional approach in Machine Learning. We advocate that this method should become mainstream in Education, since, in our point of view, it is the most suitable method to analyse complex datasets, very common in Education. This is, for example, the case of…

This paper considers recent efforts to conduct experimental and quasi-experimental evaluations of career and technical education programs. It focuses on understanding the counterfactual, or control population, for these program evaluations, discussing how the educational experiences of the control population might vary from those of the treated…

This supplement concerns Appendix E of the "What Works Clearinghouse (WWC) Procedures Handbook, Version 4.1." The supplement extends the range of designs and analyses that can generate effect size and standard error estimates for the WWC. This supplement presents several new standard error formulas for cluster-level assignment studies,…

Drawing on Bachrach and Baratz's first and second faces of interest group power, we explore the relationship between teachers' union power and reopening decisions during the fall 2020 semester in 250 large districts around the United States. We leverage a self-collected panel data set of reopening decisions coupled with measures of teachers' union…

A number of machine learning methods can be employed in the prediction of suicide attempts. However, many models do not predict new cases well in cases with unbalanced data. The present study improved prediction of suicide attempts via the use of a generative adversarial network.

Evaluators of education interventions are increasingly designing studies to detect impacts much smaller than the 0.20 standard deviations that Cohen characterized as "small." While the need to detect smaller impacts is based on compelling arguments that such impacts are substantively meaningful, the drive to detect smaller impacts may…

This research aims to explore the relations between social justice leadership, sense of school belonging, and student resilience. The research was conducted with 549 high school students. The data was collected through the social justice leadership scale, the psychological sense of school membership scale, and student resilience scale. The…

Organized sports are among the most common youth activities in the United States, and athletic coaches can often become important mentors to their players. Nonetheless, few studies have examined the characteristics of youth who form mentoring relationships with coaches and whether such relationships are associated with later academic outcomes.…

Background: Extant literature has consistently indicated that access to charter school markets is shaped by social geography. Given interest in location shown by charter schools and parents, estimating potential spatial access to charter schools has become instrumental in understanding equal opportunities for charter school enrollment in…