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…

Measurement invariance (MI) is an essential part of validity evidence concerned with ensuring that tests function similarly across groups, contexts, and time. Most evaluations of MI involve multigroup confirmatory factor analyses (MGCFA) that assume simple structure. However, recent research has shown that constraining non-target indicators to…

Contribution: This article analyzes student assessment within a computing faculty employing a full project-based learning (PBL) approach. Examining 2078 final grades across 60 classes and periods, the study reveals a significant correlation between graded self-studies, exams, and projects. This result contributes to understanding the reliability…

Many university students, including first-year business education students (FYBES) in Ghana, struggle to adjust to academic demands and university life, leading to low engagement and satisfaction with academic experiences. Despite efforts to improve student engagement and satisfaction, the extent to which gender influence this relationship remains…

Children live complex social lives that has various aspects, including intimate friendships, peer-acceptance and bullying dynamics which is usually studied separately in research. This study aims to investigate the interplays of these three important fields by analyzing the moderating effects of number of friendships on the relation between…

Researchers have long cast grades as an unreliable proxy for student learning despite their enduring use in higher education. Grounding assessment instruments in student learning outcomes (SLOs) provides an accurate and accessible means of evaluating student performance and guiding instructional practice. Using a SLO-guided pretest/posttest…

The standard methodology for many large-scale assessments in education involves regressing latent variables on numerous contextual variables to estimate proficiency distributions. To reduce the number of contextual variables used in the regression and improve estimation, we propose and evaluate principal component analysis on the covariance matrix…

This study investigates the evolving landscape of green universities by analyzing and comparing rankings from 2018 to 2022. It expands beyond the single score offered by the UI GreenMetric, employing Multi-Criteria Decision-Making (MCDM) techniques to evaluate universities from diverse perspectives. Focusing on the top 50 universities from 2022,…

Educational policies and curriculum documents largely emphasise the idea that assessment should be "diverse": that teachers should use versatile assessment practices such as tests, self- and peer-assessment and portfolios instead of mainly drawing on uniform practices, such as examinations. In this study, we examined the diversity of…

Creativity is an imperative skill for today's learners, one that has important contributions to issues of inclusion and equity in education. Therefore, assessing creativity is of major importance in educational contexts. However, scoring creativity based on traditional tools suffers from subjectivity and is heavily time- and labour-consuming. This…

The problem of local item dependencies (LIDs) is very common in personality and attitude measures, particularly in those that measure narrow-bandwidth dimensions. At the structural level, these dependencies can be modeled by using extended factor analytic (FA) solutions that include correlated residuals. However, the effects that LIDs have on the…

Purpose: This study aims to examine the impact of the Inter-University Council for East Africa (IUCEA) quality assurance framework on the quality of Bachelor of Education (BEd) programs in private universities in Tanzania. It aims to evaluate how well the framework's guidelines, including faculty qualifications, curriculum design and…

The aim of this study is to examine the intercultural sensitivity levels of teacher candidates using CART analysis and to develop a predictive model using machine learning algorithms. Additionally, this study provides a framework for understanding the relationship between internet usage and intercultural sensitivity. The participants comprised 416…

The decline in doctoral program completion has become one of the main challenges in doctoral education worldwide. As concern about this issue grows, the number of studies examining the topic has also increased. Many of these studies, which aim to identify the factors that contribute to high attrition rates, rely on cross-sectional data and often…

Introduction: Bullying victimization profoundly impacts the psychological and physical well-being of adolescents. There is limited research on the specific role of physical fitness in bullying victimization, and existing studies often overlook sex differences in these dynamics. This study investigates the relationship between sprint performance…