In psychological research, comparisons between two groups are frequently made to demonstrate that one group exhibits higher values. Although Welch’s unequal variances t-test has become the preferred parametric test for this purpose, surpassing...
Generalizability theory provides a comprehensive framework for determining how multiple sources of measurement error affect scores from psychological assessments and using that information to improve those assessments. Although generalizability theor...
The holistic growth and psychological well-being of people with special needs and disabilities remain high on the priority agenda for sustainable and inclusive education. Digital well-being technologies and especially “smart technologies”...
This study aims to introduce Bayesian Knowledge Tracing (BKT), a probabilistic model used in educational data mining to estimate learners’ knowledge states over time. It also provides a practical guide to estimating BKT models using the pyBKT l...
In recent years, researchers have described how to analyze generalizability theory (GT) based univariate, multivariate, and bifactor designs using structural equation models. However, within GT studies of bifactor models, variance components have bee...
Decision-making in uncertain and stressful environments combined with the high-profile cases of police violence in the United States has generated substantial debates about policing and created challenges to maintaining public confidence and trust in...
Despite the importance of demonstrating and evaluating how structural equation modeling (SEM), exploratory structural equation modeling (ESEM), and Bayesian structural equation modeling (BSEM) work simultaneously, research comparing these analytic te...
This paper explores the dual-processing hypothesis of the mind, Systems 1 and 2, by examining debates between cognitive and evolutionary psychologists. I structure the discussion in a back-and-forth manner to emphasize the differences. I show that, w...
The present study validated the University Student Engagement Inventory (USEI) in the Arabic language (A) by assessing its factor structure, construct validity, reliability, and concurrent validity. A total of 864 Tunisian Physical Education and Spor...
The latent space item response model (LSIRM) is a newly-developed approach to analyzing and visualizing conditional dependencies in item response data, manifested as the interactions between respondents and items, between respondents, and between ite...
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