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Power in randomized group comparisons: the value of adding a single intermediate time point to a traditional
Anre Venter1, Scott E Maxwell, Erika Bolig
1Department of Psychology, University of Notre Dame, Indiana 46556-5636, USA. venter.1@nd.edu
Abstract:
Adding a pretest as a covariate to a randomized posttest-only design increases statistical power, as does the addition of intermediate time points to a randomized pretest-posttest design. Although typically 5 waves of data are required in this instance to produce meaningful gains in power, a 3-wave intensive design allows the evaluation of the straight-line growth model and may reduce the effect of missing data. The authors identify the statistically most powerful method of data analysis in the 3-wave intensive design. If straight-line growth is assumed, the pretest-posttest slope must assume fairly extreme values for the intermediate time point to increase power beyond the standard analysis of covariance on the posttest with the pretest as covariate, ignoring the intermediate time point.