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Youmi Suk – Journal of Educational and Behavioral Statistics, 2024
Machine learning (ML) methods for causal inference have gained popularity due to their flexibility to predict the outcome model and the propensity score. In this article, we provide a within-group approach for ML-based causal inference methods in order to robustly estimate average treatment effects in multilevel studies when there is cluster-level…
Descriptors: Artificial Intelligence, Causal Models, Statistical Inference, Maximum Likelihood Statistics
Christopher Cleveland; Ethan Scherer – Annenberg Institute for School Reform at Brown University, 2024
Education leaders must identify valid metrics to predict student long-term success. We exploit a unique dataset containing data on cognitive skills, self-regulation, behavior, course performance, and test scores for 8th-grade students. We link these data to data on students' high school outcomes, college enrollment, persistence, and on-time degree…
Descriptors: Surveys, Thinking Skills, Self Management, Student Behavior
Yi-Hsuan Lee; Yue Jia – Applied Measurement in Education, 2024
Test-taking experience is a consequence of the interaction between students and assessment properties. We define a new notion, rapid-pacing behavior, to reflect two types of test-taking experience -- disengagement and speededness. To identify rapid-pacing behavior, we extend existing methods to develop response-time thresholds for individual items…
Descriptors: Adaptive Testing, Reaction Time, Item Response Theory, Test Format
Duchesne, Stéphane; Ratelle, Catherine F.; Larose, Simon – Educational Psychology, 2022
This study examined the cross-lagged relationships between students' autonomous motivations (intrinsic motivation and identified regulations) and approach goals (mastery and performance) in school. The sample included 449 students (52% girls) in Grades 7 and 8 (secondary 1 and 2). Results showed that intrinsic motivation (IM) positively predicted…
Descriptors: Correlation, Personal Autonomy, Student Motivation, Grade 7
International Association for the Evaluation of Educational Achievement, 2022
The Responses to Educational Disruption Survey (REDS), conducted by the International Association for the Evaluation of Educational Achievement (IEA), studied how teaching and learning were affected by the disruptions caused by COVID-19 and aimed to paint a picture of national responses to the global pandemic. REDS was based on the premise that…
Descriptors: Teaching Methods, Learning Processes, Principals, Administrator Attitudes
Nese, Rhonda N. T.; Santiago-Rosario, Maria Reina; Triplett, Danielle; Austin, Sean C. – Center on Positive Behavioral Interventions and Supports, 2021
In this practice brief, we explore feedback from a group of eighth and ninth grade students, families, and educators on what has been challenging, what has been missing, and what is needed during the transition from middle to high school for students with emotional and behavioral disorders. We also discuss the process for gathering stakeholder…
Descriptors: Grade 8, Grade 9, Transitional Programs, Emotional Disturbances