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Comparative Analyses of Pretest-Posttest Research Designs
Donna R. Brogan and Michael H. Kutner
The American Statistician
Vol. 34, No. 4 (Nov., 1980), pp. 229-232
Stable URL: http://www.jstor.org/stable/2684066
Page Count: 4
You can always find the topics here!Topics: Research design, Pretests, T tests, Analysis of variance, Design analysis, Null hypothesis, Posttests, Covariance, Population mean, Statistics
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Two common methods of analyzing data from a two-group pretest-posttest research design are (a) two-sample t test on the difference score between pretest and posttest and (b) repeated-measures/ split-plot analysis of variance. The repeated-measures/split-plot analysis subsumes the t test analysis, although the former requires more assumptions to be satisfied. A numerical example is given to illustrate some of the equivalences of the two methods of analysis. The investigator should choose the method of analysis based on the research objective(s).
The American Statistician © 1980 American Statistical Association