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Direct linkYoumi 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
Mattison, Richard E.; Woods, Adrienne D.; Morgan, Paul L.; Farkas, George; Hillemeier, Marianne M. – Journal of Learning Disabilities, 2023
We examined to what extent subgroups of students identified with learning disabilities (LDs; N = 630) in the Early Childhood Longitudinal Study, Kindergarten Class of 1998 to 1999 (ECLS-K): 1998 national longitudinal study displayed heterogeneity in longitudinal profiles of reading and mathematics achievement from first to eighth grades.…
Descriptors: Students with Disabilities, Learning Disabilities, Reading Achievement, Mathematics Achievement
