When a series of statistical tests are employed in the same experiment, the researcher is obligated to consider the error rate (probability of making a type I error) in terms of the experiment, not merely in terms of each comparison. A table is provided for the rapid determination of experimentwise alpha level when a number of independent statistical tests are employed in the same experiment. Suggested applications and the rationale for this procedure are supplied.
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References
1.
Dayton, C. M. and Schafer, W. D.Extended tables of t and chi square for Bonferroni tests with unequal error allocation. Journal of the American Statistical Association, 1973, 68, 78-83.
2.
Kirk, R. E.Experimental design: Procedures for the behavioral sciences. Belmont, California: Brooks/Cole, 1968.
3.
Ryan, T. A.Multiple comparisons in psychological research. Psychological Bulletin, 1959, 56, 26-47.
4.
Ryan, T. A.The experiment as the unit for computing rates of error. Psychological Bulletin, 1962, 59, 301-305.
5.
Sakoda, J. M., Cohen, B. H., and Beall, G.Tests of significance for a series of statistical tests. Psychological Bulletin, 1954, 51, 172-175.
6.
Udolf, R. and Raymond, B.Multivariate analysis of variance and confidence levels . American Psychologist, 1973, 28, 1139-1140.