The use of contrast analysis has been emphasized as an alternative to the two-stage sequence of omnibus F test followed by post-hoc pairwise comparisons. Instead, user contrasts tailored to the research can be formulated. Expressing each cell in a contrast in terms of the parameters of the means model is the key to determine the coefficients of the contrast. A three-way ANOVA with repeated measures on two factors is used to illustrate the technique. The code for the SAS Procedure GLM provides examples.
References
1.
Cody, R. P. and Smith, J. K. (1987). Applied statistics and the SAS programming language (2nd ed.). NY: North-Holland.
2.
Freund, R. J. and Littell, R. C. (1987). SAS for linear models: A guide to the ANOVA and GLM procedures. Cary, NC: SAS Institute Inc.
3.
Keppel, G. (1982). Design and analysis: A researcher's handbook (2nd ed.). Englewood Cliffs, NJ: Prentice-Hall.
4.
Rosenthal, R. and Rosnow, R. L. (1984). Essentials of behavioral research: Methods and data analysis. New York: McGraw-Hill.
5.
Rosenthal, R. and Rosnow, R. L. (1985). Contrast analysis: Focused comparisons in the analysis of variance. Cambridge, England: Cambridge University Press.
6.
Rosnow, R. L. and Rosenthal, R. (1989). Statistical procedures and the justification of knowledge in psychological science. American Psychologist, 44, 1276-1284.
7.
SAS Institute, Inc. (1985). SAS user's guide: Statistics (Version 5 ed.). Cary, NC: Author.
8.
SPSS Inc. (1988). SPSS-X user's guide (3rd ed.). Chicago: Author.
9.
Winer, B. J. (1971). Statistical principles in experimental design (2nd ed.). New York: McGraw-Hill.