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Deke, John; Wei, Thomas; Kautz, Tim – Journal of Research on Educational Effectiveness, 2021
Evaluators of education interventions are increasingly designing studies to detect impacts much smaller than the 0.20 standard deviations that Cohen characterized as "small." While the need to detect smaller impacts is based on compelling arguments that such impacts are substantively meaningful, the drive to detect smaller impacts may…
Descriptors: Intervention, Program Evaluation, Sample Size, Randomized Controlled Trials
Wolf, Rebecca; Morrison, Jennifer; Inns, Amanda; Slavin, Robert; Risman, Kelsey – Journal of Research on Educational Effectiveness, 2020
Rigorous evidence of program effectiveness has become increasingly important with the 2015 passage of the Every Student Succeeds Act (ESSA). One question that has not yet been fully explored is whether program evaluations carried out or commissioned by developers produce larger effect sizes than evaluations conducted by independent third parties.…
Descriptors: Program Evaluation, Program Effectiveness, Effect Size, Sample Size
Tipton, Elizabeth; Hedges, Larry; Vaden-Kiernan, Michael; Borman, Geoffrey; Sullivan, Kate; Caverly, Sarah – Journal of Research on Educational Effectiveness, 2014
Randomized experiments are often seen as the "gold standard" for causal research. Despite the fact that experiments use random assignment to treatment conditions, units are seldom selected into the experiment using probability sampling. Very little research on experimental design has focused on how to make generalizations to well-defined…
Descriptors: Probability, Inferences, Eligibility, Recruitment