Classification and Regression Tree (CART) analysis is a statistical modeling approach that uses quantitative data to predict future outcomes by generating decision trees. CART analysis can be useful for educators to inform their decision-making. For example, educators can use a decision tree from a CART analysis to identify students who are most…

Purpose: This study examined the psychometric properties of intention to drop out and study satisfaction measures for first-year South African students. The factorial validity, item bias, measurement invariance and reliability were tested. Design/methodology/approach: A cross-sectional design was used. For the study on intention to drop out, 1,820…

Objective: This study examined relationships between eating disorder risk (EDR), lifestyle variables (e.g., exposure to healthy eating media), and differences among male and female college students. Participants: College students (N = 323) completed survey questionnaires (Fall, 2016). Fifty-three participants retook the survey at a later time.…

Over the past decade, machine learning has become an integral part of educational technologies. With more and more applications such as students' performance prediction, course recommendation, dropout prediction and knowledge tracing relying upon machine learning models, there is increasing evidence and concerns about bias and unfairness of these…

Colleges have increasingly turned to predictive analytics to target at-risk students for additional support. Most of the predictive analytic applications in higher education are proprietary, with private companies offering little transparency about their underlying models. We address this lack of transparency by systematically comparing two…

We present an aggregation scheme that increases power in randomized controlled trials and quasi-experiments when the intervention possesses a robust and well-articulated theory of change. Intervention studies using longitudinal data often include multiple observations on individuals, some of which may be more likely to manifest a treatment effect…

This direct replication study compared the use of dichotomized likelihood ratios and interval likelihood ratios, derived using a prior sample of students, for predicting math risk in middle school. Data from the prior year state test and the Measures of Academic Progress were analyzed to evaluate differences in the efficiency and diagnostic…

Measurement and statistical investigation are areas of mathematics visibly neglected in educational intervention research, particularly studies involving students with or at risk for mathematics difficulties (MD). This shortage is concerning given the importance these areas hold in students' pursuit of mathematical proficiency. This study…

Measurement and statistical investigation are areas of mathematics visibly neglected in educational intervention research, particularly studies involving students with or at risk for mathematics difficulties (MD). This shortage is concerning given the importance these areas hold in students' pursuit of mathematical proficiency. This study…

Many students enter higher education with poor preparation for college mathematics courses. These students are often placed through high-stakes placement testing into developmental coursework that bear no credit towards graduation, but many students who begin in developmental coursework never succeed in a college-level mathematics course. Recent…

First-generation students, who represent more than 40% of entering college freshmen, have lower academic achievement and struggle to persist compared to their continuing-generation peers. Although previous studies have repeatedly shown a deficit model for first-generation students, there is still a lack of clear understanding about the…

Schools across the United States suffer from low on-time graduation rates. Targeted interventions help at-risk students meet graduation requirements in a timely manner, but identifying these students takes time and practice, as warning signs are often context-specific and reflected in a combination of attendance, social, and academic signals…

The aim of this study was to describe the alcohol consumption patterns and to identify the association of injury with excess drinking among Croatian students. This cross-sectional study was conducted among 845 university students by the use of the WHO AUDIT questionnaire. A total of 39.9% of the university students reported some level of excess…

Background: College students are susceptible to cigarette smoking initiation, and those who smoke are at risk for a lifetime addiction. Purpose: This study examined the differences in college student smoker and nonsmoker perceptions about cigarette smoking in relation to emotional benefits, health hazards, self-confidence, and body image. Methods:…

Hispanics face multiple barriers to academic achievement. This study measured learning in an undergraduate criminal justice program at an Hispanic Serving Institution bordering Mexico. We estimated the average gains students achieved across core content areas using a technique that can be used by other faculty as part of program assessment. The…