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Curran-Everett, Douglas – Advances in Physiology Education, 2009
Learning about statistics is a lot like learning about science: the learning is more meaningful if you can actively explore. This fourth installment of Explorations in Statistics explores the bootstrap. The bootstrap gives us an empirical approach to estimate the theoretical variability among possible values of a sample statistic such as the…
Descriptors: Statistics, Statistical Inference, Hypothesis Testing
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Keselman, H. J.; Cribbie, Robert A.; Holland, Burt – Journal of Clinical Child and Adolescent Psychology, 2004
Locating pairwise differences among treatment groups is a common practice of applied researchers. Articles published in this journal have addressed the issue of statistical inference within the context of an analysis of variance (ANOVA) framework, describing procedures for comparing means, among other issues. In particular, 1 article (Jaccard &…
Descriptors: Data Analysis, Statistical Inference, Comparative Analysis, Child Psychology
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Murray, Leigh W.; Dosser, David A., Jr. – Journal of Counseling Psychology, 1987
The use of measures of magnitude of effect has been advocated as a way to go beyond statistical tests of significance and to identify effects of a practical size. They have been used in meta-analysis to combine results of different studies. Describes problems associated with measures of magnitude of effect (particularly study size) and…
Descriptors: Effect Size, Meta Analysis, Research Design, Research Methodology
Madhere, Serge – 1986
One of the most appropriate quasiexperimental approaches to compensatory education is the regression-discontinuity design. However, it remains underutilized, in part because of the need to clarify the link between the mathematical model and administrative decision-making. This paper explains the derivation of a program efficiency index congruent…
Descriptors: Compensatory Education, Cutting Scores, Effect Size, Elementary Education