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Download full textCitkowicz, Martyna; Hedges, Larry V. – Society for Research on Educational Effectiveness, 2013
In some instances, intentionally or not, study designs are such that there is clustering in one group but not in the other. This paper describes methods for computing effect size estimates and their variances when there is clustering in only one group and the analysis has not taken that clustering into account. The authors provide the effect size…
Descriptors: Multivariate Analysis, Effect Size, Sampling, Sample Size
Bell, Stephen H.; Puma, Michael J.; Cook, Ronna J.; Heid, Camilla A. – Society for Research on Educational Effectiveness, 2013
Access to Head Start has been shown to improve children's preschool experiences and school readiness on selected factors through the end of 1st grade. Two more years of follow-up, through the end of 3rd grade, can now be examined to determine whether these effects continue into the middle elementary grades. The statistical design and impact…
Descriptors: Evaluation Methods, Data Analysis, Randomized Controlled Trials, Sampling
Karabatsos, G.; Walker, S.G. – Society for Research on Educational Effectiveness, 2010
Causal inference is central to educational research, where in data analysis the aim is to learn the causal effects of educational treatments on academic achievement, to evaluate educational policies and practice. Compared to a correlational analysis, a causal analysis enables policymakers to make more meaningful statements about the efficacy of…
Descriptors: Bayesian Statistics, Causal Models, Educational Research, Writing Instruction
