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Wendy Chan; Larry Vernon Hedges – Journal of Educational and Behavioral Statistics, 2022
Multisite field experiments using the (generalized) randomized block design that assign treatments to individuals within sites are common in education and the social sciences. Under this design, there are two possible estimands of interest and they differ based on whether sites or blocks have fixed or random effects. When the average treatment…
Descriptors: Research Design, Educational Research, Statistical Analysis, Statistical Inference
VanHoudnos, Nathan M.; Greenhouse, Joel B. – Journal of Educational and Behavioral Statistics, 2016
When cluster randomized experiments are analyzed as if units were independent, test statistics for treatment effects can be anticonservative. Hedges proposed a correction for such tests by scaling them to control their Type I error rate. This article generalizes the Hedges correction from a posttest-only experimental design to more common designs…
Descriptors: Statistical Analysis, Randomized Controlled Trials, Error of Measurement, Scaling
Gu, Fei; Preacher, Kristopher J.; Ferrer, Emilio – Journal of Educational and Behavioral Statistics, 2014
Mediation is a causal process that evolves over time. Thus, a study of mediation requires data collected throughout the process. However, most applications of mediation analysis use cross-sectional rather than longitudinal data. Another implicit assumption commonly made in longitudinal designs for mediation analysis is that the same mediation…
Descriptors: Statistical Analysis, Models, Research Design, Case Studies
Schochet, Peter Z.; Chiang, Hanley S. – Journal of Educational and Behavioral Statistics, 2011
In randomized control trials (RCTs) in the education field, the complier average causal effect (CACE) parameter is often of policy interest, because it pertains to intervention effects for students who receive a meaningful dose of treatment services. This article uses a causal inference and instrumental variables framework to examine the…
Descriptors: Computation, Identification, Educational Research, Research Design