Education and income are strong predictors of health and longevity. In the last 20 years many efforts have been made to understand if these relationships are causal and what the possible role of policy should be as a result. The evidence from various studies is ambiguous: the effects of education and income policies on health are heterogeneous and…

While correlated data methods (like random effect models and generalized estimating equations) are commonly applied in practice, students may struggle with understanding the reasons that standard regression techniques fail if applied to correlated outcomes. To this end, this article presents an in-class activity using results from Monte Carlo…

In this report, the authors examined the relationship between social and emotional (SE) skills, school climate, educator variables, and educator burnout. Mosaic Educator, an assessment designed for teachers and school staff, was completed by a sample of educators in several regions of the country during the spring of 2022. This assessment measured…

This article revisits how the end points of plotted line segments should be selected when graphing interactions involving a continuous target predictor variable. Under the standard approach, end points are chosen at ±1 or 2 standard deviations from the target predictor mean. However, when the target predictor and moderator are correlated or the…

Since social connectedness is critical to student retention, colleges and universities have vested interest in identifying and providing assistance as early as possible. When students are struggling to fit in, a great deal of campus energy is invested in welcoming each new cohort of students and planning events to facilitate a sense of belonging.…

Discipline-based education researchers have a natural laboratory--classrooms, programs, colleges, and universities. Studies that administer treatments to multiple sections, in multiple years, or at multiple institutions are particularly compelling for two reasons: first, the sample sizes increase, and second, the implementation of the treatments…

Comparative international assessments of academic achievement consistently indicate that US students trail behind many peers, particularly those from east Asia, in math and science. Traditional efforts to explain this finding have focused on identifying characteristics that might differentiate the United States from top-performing countries.…

Human intelligence (also called general intelligence, "g," or Spearman's "g") is a highly useful psychological construct. Yet, since the middle of the 20th century, gifted education researchers have been reluctant to discuss human intelligence. The purpose of this article is to persuade gifted education researchers and…

At first glance it seems easy to attribute cause and effect when it's not applicable, either through mistakenly taking every correlation as a cause and effect relationship, misinterpreting the meaning of independent and dependent variables, or not focusing on direct causes. Sometimes it's easy to help students understand where…

Cyberbullying is a type of bullying, which in turn is a type of aggression. This paper gives a brief history of research, and discusses definitional issues around cyberbullying, and three challenges facing researchers; it then reviews some basic findings about prevalence, age and gender differences, predictors of involvement, and effects and…

Multiple regression (MR) analyses are commonly employed in social science fields. It is also common for interpretation of results to typically reflect overreliance on beta weights, often resulting in very limited interpretations of variable importance. It appears that few researchers employ other methods to obtain a fuller understanding of what…

This brief summarizes the practices of successful, instructionally engaged leaders and the ways districts develop these leaders. These practices are drawn from "positive outlier" districts in California that have excelled at helping African American, Latino/a, and White students achieve at high levels on assessments of academic standards…

Every day, students collect, organize, and analyze data to make decisions. In this data-driven world, people need to assess how much trust they can place in summary statistics. The results of every survey and the safety of every drug that undergoes a clinical trial depend on the correct application of appropriate statistics. Recognizing the…

There are usually limited user evaluation of resources on a recommender system, which caused an extremely sparse user rating matrix, and this greatly reduce the accuracy of personalized recommendation, especially for new users or new items. This paper presents a recommendation method based on rating prediction using causal association rules.…

Regression analysis is a conceptually simple method for investigating relationships among variables. Carrying out a successful application of regression analysis, however, requires a balance of theoretical results, empirical rules, and subjective judgment. "Regression Analysis by Example, Fifth Edition" has been expanded and thoroughly…