Growth mixture models (GMMs) are applied to intervention studies with repeated measures to explore heterogeneity in the intervention effect. However, traditional GMMs are known to be difficult to estimate, especially at sample sizes common in single-center interventions. Common strategies to coerce GMMs to converge involve post hoc adjustments to…

The authoritative school climate construct, or the degree to which schools demonstrate student support and disciplinary structure, predicts several important student outcomes (e.g., racial suspension gap, student disengagement). To better understand this construct, we used multilevel latent class analysis to identify latent classes of student…

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 year 2022 is the 20th anniversary of Joseph Schafer and John Graham's paper titled "Missing data: Our view of the state of the art," currently the most highly cited paper in the history of "Psychological Methods." Much has changed since 2002, as missing data methodologies have continually evolved and improved; the range of…

Academic entitlement (AE), which includes some students' tendencies to express deservingness of academic outcomes, not based on achievement, may have serious implications, such as academic dishonesty and classroom incivility. Some researchers have suggested that there may be different types of students with regard to AE, implying that motives for…

The public image of chemistry is a relevant issue for chemical stakeholders. It has been studied throughout history by means of document analysis and more recently through surveys. Twitter, a worldwide online social network, is based on spontaneous opinions. We tried to identify the public perception of chemistry on Twitter, what it explains, and…

In social and behavioral sciences, data are typically not normally distributed, which can invalidate hypothesis testing and lead to unreliable results when being analyzed by methods developed for normal data. The existing methods of generating multivariate non-normal data typically create data according to specific univariate marginal measures…

Many interventions in education occur in settings where treatments are applied to groups. For example, a reading intervention may be implemented for all students in some schools and withheld from students in other schools. When such treatments are non-randomly allocated, outcomes across the treated and control groups may differ due to the…

Developmental surveillance tools are used to closely monitor the early development of infants and young children. This study provides a novel implementation of a multidimensional item response model, using Bayesian hierarchical priors, to construct developmental profiles for a small sample of children (N = 115) with sparse data collected through…

The Classroom Observation Protocol for Undergraduate STEM (COPUS) provides descriptive feedback to instructors by capturing student and instructor behaviors occurring in the classroom. Due to the increasing prevalence of COPUS data collection, it is important to recognize how researchers determine whether groups of courses or instructors have…

The relevance of this study is due to the increasing importance and role of universities in the context of growing competition in the international market of educational services. Higher education institutions face the problem of needing to adapt their educational and socio-cultural environment for international students from different countries.…

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…

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 &…

The main challenge in higher education is student retention. While many methods have been proposed to overcome this challenge, early and continuous feedback can be very effective. In this article, we propose a method for predicting student final grades in a course using only their performance data in the current semester. It assists students in…

Objective: Our pilot study tests whether university counseling centers (UCC) can apply the concept of cluster analysis, and geospatial analysis to identify clusters of "hot spots". Participants: Study participants were university students who received services from a large mid-western UCC between August 2015 and July 2016. The study was…