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Evaluating dimensionality in non-cognitive measures: Exploratory vs. hierarchical exploratory graph analysis
Download2024-04-01
Wongvorachan, Tarid, Gorgun, Guher, Bulut, Okan
Network psychometrics is a new approach to exploring dimensionality of a measurement tool using partial correlations among items. In this study, we showcased the performance of exploratory graph analysis (EGA) and hierarchical EGA in detecting the true dimensional structure of non-cognitive...
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Identifying the Predictors of Mathematics Anxiety, Confidence, and Performance in Canada: An Educational Data Mining Approach
Download2024-03-13
Bulut, Okan, Clelland, Ashley, Wongvorachan, Tarid
The goal of this study was to identify important and actionable (i.e., can be acted upon) predictors of mathematics performance, mathematics anxiety, and confidence in mathematics among Canadian and Alberta students. The study followed an explanatory sequential mixed methods design, combining...
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Measuring Students’ Socio-Emotional Well-being to Optimize Learning: Looking beyond Academic Performance and Grades
Download2020-12-01
Bulut, Okan, Seitz, Paolina, Deforge, Kevin, Chu, Man-Wai, Hachem, Maryam, Gorgun, Guher
Socio-emotional variables, like engagement, motivation, and collaboration, are profoundly involved in the learning process. Targeting those variables in designing instructional activities may increase the potential of students’ academic success (e.g., stronger school performance and more...