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Mizumoto, Atsushi – Language Learning, 2023
Researchers often make claims regarding the importance of predictor variables in multiple regression analysis by comparing standardized regression coefficients (standardized beta coefficients). This practice has been criticized as a misuse of multiple regression analysis. As a remedy, I highlight the use of dominance analysis and random forests, a…
Descriptors: Predictor Variables, Artificial Intelligence, Evaluation Methods, Multiple Regression Analysis
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Kim, Mikyong Minsun; Kutscher, Elisabeth Louise – Research in Higher Education, 2021
Using large-scale longitudinal data, this study sought to examine factors influencing two important student development outcomes in students with disabilities attending 4-year colleges and universities. Informed by Astin's Input-Environment-Outcome model and the interactional model of disability, this study investigated the effect of student…
Descriptors: College Students, Students with Disabilities, Academic Ability, Self Esteem