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Anika Alam; A. Brooks Bowden – Society for Research on Educational Effectiveness, 2024
Background: The importance of high school completion for jobs and postsecondary opportunities is well- documented. Combined with federal laws where high school graduation rate is a core performance indicator, school systems and states face pressure to actively monitor and assess high school completion. This proposal employs machine learning…
Descriptors: Dropout Characteristics, Prediction, Artificial Intelligence, At Risk Students
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Frey, Karin S.; Newman, Jodi Burrus; Onyewuenyi, Adaurennaya C. – Journal of Early Adolescence, 2014
Coders used real-time focal-child sampling methods to observe the playground behavior and victimization experiences of 600 third to sixth grade youth. Person-centered analyses yielded three profiles that specified aggressive function (reactive, proactive) and form (direct, indirect), and conformed to social-information-processing functional…
Descriptors: Aggression, Victims, Playgrounds, Child Behavior
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Camparo, James; Camparo, Lorinda B.; Wagner, Judith T. – Applied Psychological Measurement, 2010
Peer nominations are used widely in psychological and sociological research to examine intergroup dynamics, even though this assessment tool suffers from thorny methodological problems: Gender, ethnic, age, and trait compositions vary across subsamples, subjects differ in the number of nominations they make, and the issue of sampling without…
Descriptors: Group Dynamics, Intergroup Relations, Peer Relationship, Social Attitudes