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Safarkhani, Maryam; Moerbeek, Mirjam – Journal of Educational and Behavioral Statistics, 2013
In a randomized controlled trial, a decision needs to be made about the total number of subjects for adequate statistical power. One way to increase the power of a trial is by including a predictive covariate in the model. In this article, the effects of various covariate adjustment strategies on increasing the power is studied for discrete-time…
Descriptors: Statistical Analysis, Scientific Methodology, Research Design, Sample Size
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Huber, Martin – Journal of Educational and Behavioral Statistics, 2012
As any empirical method used for causal analysis, social experiments are prone to attrition which may flaw the validity of the results. This article considers the problem of partially missing outcomes in experiments. First, it systematically reveals under which forms of attrition--in terms of its relation to observable and/or unobservable…
Descriptors: Probability, Attrition (Research Studies), Statistical Analysis, Experiments
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Hedecker, Donald; Gibbons, Robert D.; Waternaux, Christine – Journal of Educational and Behavioral Statistics, 1999
Presents formulas for estimating sample sizes to provide specified levels of power for tests of significance from a longitudinal design allowing for subject attrition. These formulas are derived for a comparison of two groups in terms of single degree-of-freedom contrasts of population means across the study timepoints. (Author/SLD)
Descriptors: Attrition (Research Studies), Comparative Analysis, Estimation (Mathematics), Longitudinal Studies