Demonstrating the differential effectiveness of instructional approaches for learners is difficult because learners differ on multiple dimensions. The present study tests a person-centered approach to investigating differential effectiveness, in this case of reading instruction. In N = 517 German third-grade students, latent profile analysis…

Multivariate analysis of variance (MANOVA) is a statistical procedure commonly used in fields such as education and psychology. However, MANOVA's popularity may actually be for the wrong reasons. The large majority of published research using MANOVA focus on univariate research questions rather than on the multivariate questions that MANOVA is…

Introduction: The What Works Clearinghouse (WWC) reviews rigorous research on educational interventions with a goal of identifying "what works" and making that information accessible to educators and policymakers. The WWC has historically prioritized internal validity over external validity in rating the quality of research. One critique…

Chromosome 22q11.2 deletion syndrome (22q11DS) is characterised by a complex behavioural phenotype including anxiety, attention-deficit/hyperactivity disorder and psychosis. In the current study, we aimed at improving our understanding of the heterogeneity of behavioural characteristics in a group of 129 young people (aged 4022) with a confirmed…

Although educational research and evaluation generally occur in multilevel settings, many analyses ignore cluster effects. Neglecting the nature of data from educational settings, especially in non-randomized experiments, can result in biased estimates with long-term consequences. Our manuscript improves the availability and understanding of…

Standard methods for the meta-analysis of medical tests, without assuming a gold standard, are limited to dichotomous data. Multivariate probit models are used to analyse correlated dichotomous data, and can be extended to model ordinal data. Within the context of an imperfect gold standard, they have previously been used for the analysis of…

Power in multilevel models remains an area of interest to both methodologists and substantive researchers. In two-level designs, the total sample is a function of both the number of level-2 (e.g., schools) clusters and the average number of level-1 (e.g., classrooms) units per cluster. Traditional multilevel power calculations rely on either the…

Ensuring comparability of Likert-style items across different countries is a widespread challenge for authors of large-scale international surveys. Using data from the EUROGRADUATE Pilot Survey, this study employs a series of latent class analyses to explore which response patterns emerge from self-assessment of acquired and required skills of…

Multiple imputation (MI) is a popular method for handling missing data. In education research, it can be challenging to use MI because the data often have a clustered structure that need to be accommodated during MI. Although much research has considered applications of MI in hierarchical data, little is known about its use in cross-classified…

Estimation of within-trial interactions in meta-analysis is crucial for reliable assessment of how treatment effects vary across participant subgroups. However, current methods have various limitations. Patients, clinicians and policy-makers need reliable estimates of treatment effects within specific covariate subgroups, on relative and absolute…

The purpose of this study is to demonstrate clustering methods within a functional data analysis (FDA) framework for identifying subgroups of individuals that may be exhibiting categories of misfit. Person response functions (PRFs) estimated within a FDA framework (FDA-PRFs) provide graphical displays that can aid in the identification of persons…

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…

MOOCs (massive open online courses) have attracted considerable attention from researchers. Fueled by constant change and developments in educational technology, the trends of MOOCs have varied greatly over the years. To detect and visualize the developments and changes in MOOC research, 4,652 articles published between 2009 and 2021 were…

Purpose: The purpose of this paper is to identify student clusters based on patterns of behavioural, cognitive, emotional, collaborative and social engagement in virtual classrooms, within the context of higher education. The study also attempts to explore the differences amongst the student clusters with respect to various motivating and…

A Rasch analysis was conducted to assess a rubric that measures the quality of school-level variables that support the implementation of a social and emotional learning (SEL) program. SEL planning teams from 84 schools rated the quality of school-level variables (e.g., principal support, available funds, and resources) that support the…