Regression discontinuity (RD) designs are increasingly used for causal evaluations. For example, if a student's need for a literacy intervention is determined by a low score on a past performance indicator and that intervention is provided to all students who fall below a cutoff on that indicator, an RD study can determine the intervention's main…

Background: Adoption of the Whole School, Whole Community, Whole Child (WSCC) model has been slowed by a lack of available tools to support implementation. The Wellness School Assessment Tool (WellSAT) WSCC is an online assessment tool that allows schools to evaluate the alignment of their policies with the WSCC model. This study assesses the…

Computer-based simulation is utilised across various educational fields, employing diverse technologies to facilitate practical understanding of content and the acquisition of skills that can help close the gap between theory and practice. The possibility of providing scenarios that resemble on-the-job tasks, enables instructors to both train and…

Measurement errors may significantly distort the properties of an estimator. In this paper, estimators of the finite population variance using the information on first and second raw moments of the study variable are developed under stratified random sampling that incorporate the variance of a measurement error component. Additionally, combined…

Mokken Scale Analysis (MSA) is a nonparametric approach that offers exploratory tools for understanding the nature of item responses while emphasizing invariance requirements. MSA is often discussed as it relates to Rasch measurement theory, which also emphasizes invariance, but uses parametric models. Researchers who have compared and combined…

Sensitivity analyses encompass a broad set of post-analytic techniques that are characterized as measuring the potential impact of any factor that has an effect on some output variables of a model. This research focuses on the utility of the simulated annealing algorithm to automatically identify path configurations and parameter values of omitted…

A systematic review did not show any usability evaluation tool specifically developed for blind people. This paper reports an empirical study, investigating the similarity between usability evaluation tools for people with visual impairment. A total of 87 blind people from both genders, equally distributed, from 18 to 75 years old, with congenital…

This study aimed to assess the methods and outcomes of The Measurement Tool to Assess systematic Reviews (AMSTAR) 2 appraisals in overviews of reviews (overviews) of interventions in the cardiovascular field and identify factors that are associated with these outcomes. MEDLINE, Scopus, and the Cochrane Database of Systematic Reviews were searched…

This study tests a handwriting model for children and youth with Autism Spectrum Disorder (ASD) that displays the relationships between handwriting process and product characteristics, and the predictors of these characteristics. Structural Equation Modelling was used to test the model for children and youth with ASD (n = 50) and typically…

Developing immersive learning systems is challenging due to their multidisciplinary nature, involving game design, pedagogical modelling, computer science, and the application domain. The diversity of technologies, practices, and interventions makes it hard to explore solutions systematically. A new methodology called Multimodal Immersive Learning…

Systematic reviews are a time-consuming yet effective approach to understanding research trends. While researchers have investigated how to speed up the process of screening studies for potential inclusion, few have focused on to what extent we can use algorithms to extract data instead of human coders. In this study, we explore to what extent…

Bayesian estimations of complex regression models with high-dimensional parameter spaces require advanced priors, capable of addressing both sparsity and multicollinearity in the data. The Dirichlet-horseshoe, a new prior distribution that combines and expands on the concepts of the regularized horseshoe and the Dirichlet-Laplace priors, is a…

It is well known that research quality notions vary across research fields. Despite this, humanities quality notions are often portrayed as deviant or particularly hard to grasp. To some extent, this has a historical explanation, as notions from within the humanities have not been the standards used in the development of research evaluation tools.…

Parallel analysis has been considered one of the most accurate methods for determining the number of factors in factor analysis. One major advantage of parallel analysis over traditional factor retention methods (e.g., Kaiser's rule) is that it addresses the sampling variability of eigenvalues obtained from the identity matrix, representing the…

The automation of creativity measurement is a promising avenue of development, given that classic creativity assessments face challenges such as resource-intensive expert judgments, subjective creativity ratings, and biases in people's self-reports. In this paper, we present a construct validation study for CollaboUse, a test developed to deliver…