Comparative Analyses of Pretest-Posttest Research Designs

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, alt...

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Bibliographic Details
Published in:The American statistician 1980-11, Vol.34 (4), p.229-232
Main Authors: Brogan, Donna R., Kutner, Michael H.
Format: Article
Language:English
Subjects:
Analysis of variance
Covariance
Design analysis
Liver function
Null hypothesis
Population mean
Posttests
Pretest-posttest designs
Pretests
Repeated-measures/split-plot analysis
Research design
t test
T tests
The Teacher's Corner
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Summary: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).
ISSN:0003-1305
1537-2731
DOI:10.1080/00031305.1980.10483034