Abelson, R. (1985). A variance explanation paradox: When a little is a lot. Psychological Bulletin, 97, 129-133.

Bradley, D. R., Bradley, T. D., McGrath, S. G., & Cutcomb, S. D. (1979) Type I error rate of the chi square test of independence in r x c tables that have small expected frequencies. Psychological Bulletin, 86, 1290-1297.

Box, G. E. P. (1954) Some theorems on quadratic form applied to the study of analysis of variance problems: II Effects of inequality of variance and the correlation between errors in the two-way classification. Annals of Mathematical Statistics, 25, 484-498.

Cohen, J.(1962) The statistical power of abnormal-social psychological research: A review. Journal of Abnormal and Social Psychology, 65, 145-153.

Greenhouse, S. W., & Geiser, S. On methods in the analysis of profile data. Psychometrika, 1959, 95–112.

Huynh, H., & Feldt, L. S. (1976). Estimation of the Box correction for degrees of freedom from sample data in randomized blocks and split-plot designs. Journal of Educational Statistics, 1, 69–82.

Lane, D. M, & Dunlap, W. P. (1978) Estimating effect size: Bias resulting from the significance criterion in editorial decisions. British Journal of Mathematical and Statistical Psychology, 31, 107-112.

Martel, R., Lane, D. M., & Willis, C. (1996) Male-female differences: A computer simulation. American Psychologist, 51, 157-158.

Rosenthal, R. (1990). How are we doing in soft psychology? American Psychologist, 45, 775-777.

Rosenthal, R., Rosnow, R., & Rubin, D. B. (2000) Contrasts and effect sizes in behavioral reseach: A correlational approach. Cambridge University Press.

Steiger, J. H. (2004) Beyond the F test: Effect size confidence intervals and tests of close fit in the analysis of variance and contrast analysis. Psychological Methods, 9, 164-182.

Tullis, T. (1981) An evaluation of alphanumeric, graphic, and color information displays. Human Factors, 23, 541-550.

Tversky, A. & Kahneman, D. (1982) Variants of uncertainty, Cognition , 11, 143-157.

Wilkinson, L., & Task Force on Statistical Inference, American Psychological Association. (1999). Statistical methods in psychology journals: Guidelines and explanations. American Psychologist, 54, 594–604.