title: Statistical power for nonequivalent pretest-posttest designs. The impact of change-score versus ANCOVA models.
abstract: Nonequivalent controlled pretest-posttest designs are central to evaluation science, yet no practical and unified approach for estimating power in the two most widely used analytic approaches to these designs exists. This article fills the gap by presenting and comparing useful, unified power formulas for ANCOVA and change-score analyses, indicating the implications of each on sample-size requirements. The authors close with practical recommendations for evaluators. Mathematical details and a simple spreadsheet approach are included in appendices.
authors.affiliation: New England Research Institutes, USA.
authors.forename: J M
authors.initials: JM
authors.lastname: Oakes
authors.forename: H A
authors.initials: HA
authors.lastname: Feldman
mesh_terms: D000704:Analysis of Variance; D015982:Bias; D003627:Data Interpretation, Statistical; D015987:Effect Modifier, Epidemiologic; D006801:Humans; D015233:Models, Statistical; D012107:Research Design