Regression discontinuity (RD) designs are increasingly used for causal evaluations. However, the literature contains little guidance for conducting a moderation analysis within an RDD context. The current article focuses on moderation with a single binary variable. A simulation study compares: (1) different bandwidth selectors and (2) local…

Normative studies are needed to obtain norms for comparing individuals with the reference population on relevant clinical or educational measures. Norms can be obtained in an efficient way by regressing the test score on relevant predictors, such as age and sex. When several measures are normed with the same sample, a multivariate regression-based…

We use Eurobarometer data to examine barriers to international student mobility. Multivariate analysis is employed to study how individual characteristics are related to the obstacles preventing higher education students from participating in activities in another EU country. The results suggest that several demographic factors including area of…

Previous studies that examined the associations among bullying experiences, psychological disturbances, and executive functions showed mixed results. They focused on certain subcomponents of the three sets of variables and did not reflect the comprehensive relationship. The present study explored these associations through regularized generalized…

The performance history of 277 students in clothing and textile from two tertiary institutions in southern Nigeria was studied by artificial neural networks (ANN) and analysis of variance (ANOVA) in terms of institution, gender, ordinary level (O-level) qualification, marital status, and age. The study was guided by five research questions and…

We examined associations between proactive and reactive aggression and peer likability across two academic years. Analyses were based on a sample of 442 elementary school children. Proactive and reactive aggression were assessed through self-report and peer likability was assessed via a peer nomination inventory. Data were collected in the fall…

Logistic regression models have traditionally been used to identify the factors contributing to students' conceptual understanding. With the advancement of the machine learning-based research approach, there are reports that some machine learning algorithms outperform logistic regression models in terms of prediction. In this study, we collected…

Few studies holistically examine how students experience the multiple dimensions of school climate and resilience promoting characteristics, or how these two constructs may be interrelated. This study utilised a sample of 78,550 7th, 9th, and 11th grade students in California. Roughly half of the participants were female (52%), and roughly half…

The aim of this work is to provide data-driven insights regarding the factors behind dropouts in Higher Education and their impact over time. To this end, we analyzed students' data collected by a Higher Education Institute over the last 11 years and we explored how socio-economic and academic changes may have impacted student dropouts and how…

This convergent mixed-methods study examined the distinct burnout profiles of novice school counselors and their respective professional experiences. A cluster analysis yielded a three-factor solution revealing unique burnout profiles. Qualitative analyses identified job-related challenges and resources impacting the work performance of novice…

Cultural capital is a key term from the Social Reproduction Theory, and it is defined as the codes and practices that parents pass on to their children (Bourdieu, 1984). Previous empirical studies have confirmed the importance of cultural capital, and it is positively related to students' reading achievement (e.g., Kosutic, 2017; Noble &…

For more than a half-century, lists of words have served as the memoranda of choice in studies of human memory. To better understand why some words and lists are easier to recall than others, we estimated multivariate models of word and list recall. In each of the 23 sessions, subjects (N = 98) studied and recalled the same set of 576 words,…

Foster children are reported to often have mental health difficulties. To optimize foster children's development chances, we need to know more about the characteristics that are predictive of foster children's mental health. In the current study, we aimed to establish what accounts for the differences in foster children's mental health, by…

Background: Children and adolescents in residential care have more adverse childhood experiences (ACEs) than those living in any other type of care. However, there is scant research on risk factors accounting for this accumulation. Objective: To establish the prevalence of ACEs in child residential care and to explore predictors of accumulation…

Course grades, as an indicator of academic performance, are a primary academic concern at the secondary school level and have been associated with various aspects of mental health status. The purpose of this study is to simultaneously assess whether symptoms of mental illness (depression and anxiety) and mental well-being (psychosocial well-being)…