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Njål Foldnes; Jonas Moss; Steffen Grønneberg – Structural Equation Modeling: A Multidisciplinary Journal, 2025
We propose new ways of robustifying goodness-of-fit tests for structural equation modeling under non-normality. These test statistics have limit distributions characterized by eigenvalues whose estimates are highly unstable and biased in known directions. To take this into account, we design model-based trend predictions to approximate the…
Descriptors: Goodness of Fit, Structural Equation Models, Robustness (Statistics), Prediction
Min Feng; Kai Zhou – Psychology in the Schools, 2025
Collaborative problem-solving (CPS) has been one of the essential core skills for future students. However, we found that there are many studies on the evaluation of collaborative problem-solving skills, but there is little studies on the subject areas based on which collaborative problem-solving skills have been evaluated. The three-dimensional…
Descriptors: Mathematics Skills, Cooperative Learning, Problem Solving, Cognitive Ability
Aykut Durak; Vahide Bulut – Technology, Knowledge and Learning, 2025
The study uses the partial least squares-structural equation modeling (PLS-SEM) algorithm to predict the factors affecting the programming performance (PPE) (low, high) of the students receiving computer programming education. The participants of the study consist of 763 students who received programming education. In the analysis of the data, the…
Descriptors: Prediction, Low Achievement, High Achievement, Academic Achievement

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