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Eric C. Hedberg – Grantee Submission, 2023
In cluster randomized evaluations, a treatment or intervention is randomly assigned to a set of clusters each with constituent individual units of observations (e.g., student units that attend schools, which are assigned to treatment). One consideration of these designs is how many units are needed per cluster to achieve adequate statistical…
Descriptors: Statistical Analysis, Multivariate Analysis, Randomized Controlled Trials, Research Design
Kush, Joseph M.; Konold, Timothy R.; Bradshaw, Catherine P. – Grantee Submission, 2021
Power in multilevel models remains an area of interest to both methodologists and substantive researchers. In two-level designs, the total sample is a function of both the number of level-2 (e.g., schools) clusters and the average number of level-1 (e.g., classrooms) units per cluster. Traditional multilevel power calculations rely on either the…
Descriptors: Multivariate Analysis, Randomized Controlled Trials, Monte Carlo Methods, Sample Size
Joshua M. Langberg; Melissa R. Dvorsky; Stephen J. Molitor; Elizaveta Bourchtein; Laura D. Eddy; Zoe R. Smith; Lauren E. Oddo; Hana-May Eadeh – Grantee Submission, 2017
Objective: To evaluate the effectiveness of 2 brief school-based interventions targeting the homework problems of adolescents with attention-deficit/hyperactivity disorder (ADHD)--the Homework, Organization, and Planning Skills (HOPS) intervention and the Completing Homework by Improving Efficiency and Focus (CHIEF) intervention, as implemented by…
Descriptors: Randomized Controlled Trials, Theory Practice Relationship, Intervention, Homework