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Moeyaert, Mariola; Yang, Panpan – Grantee Submission, 2021
This study introduces an innovative meta-analytic approach, two-stage multilevel meta-analysis that considers the hierarchical structure of single-case experimental design (SCED) data. This approach is unique as it is suitable to include moderators at the intervention level, participant level, and study level, and is therefore especially…
Descriptors: Hierarchical Linear Modeling, Meta Analysis, Research Design, Case Studies
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Maynard, Brandy R.; Kjellstrand, Elizabeth K.; Thompson, Aaron M. – Society for Research on Educational Effectiveness, 2014
The present study evaluates the effectiveness of Check & Connect (C&C) in a randomly assigned sample of students who were all receiving Communities in Schools (CIS) services. The research questions for the study include: Are there differences in attendance, academics, and behavior for CIS students who also receive C&C compared to…
Descriptors: Dropout Prevention, Dropout Programs, Secondary School Students, Urban Schools
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Westine, Carl; Spybrook, Jessaca – Society for Research on Educational Effectiveness, 2013
The capacity of the field to conduct power analyses for group randomized trials (GRTs) of educational interventions has improved over the past decade (Authors, 2009). However, a power analysis depends on estimates of design parameters. Hence it is critical to build the empirical base of design parameters for GRTs across a variety of outcomes and…
Descriptors: Randomized Controlled Trials, Research Design, Correlation, Program Effectiveness
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Wang, Shin-Yi; Parrila, Rauno; Cui, Ying – Journal of Autism and Developmental Disorders, 2013
This meta-analysis used hierarchical linear modeling to examine 115 single-case studies with 343 participants that examined the effectiveness of social skills interventions for individuals with autism spectrum disorder (ASD). The average effect size of the included studies was 1.40 (SD = 0.43, 95% CL = 1.32-1.48, N = 115). In the further, several…
Descriptors: Meta Analysis, Hierarchical Linear Modeling, Case Studies, Pervasive Developmental Disorders