Anderson, V., &McLean, R. A. (1974).*Design of experiments: A realistic approach*. New York: Marcel Dekkar.

Bakan, D. (1966). The test of significance in psychological research.

*Psychological Bulletin*,

**66**, 423–437.

CrossRefPubMed Bayes, T. (1763). An essay towards solving a problem in the doctrine of chances.

*Philosophical Transactions of the Royal Society*,

**53**, 370–418.

CrossRef Berger, J. O., &Berry, D. A. (1988). Statistical analysis and the illusion of objectivity.*American Scientist*,**76**, 159–165.

Boik, R. J. (1981). A priori tests in repeated measures designs: Effects of nonsphericity.

*Psychometrika*,

**46**, 241–255.

CrossRef Box, G. E. P. (1954). Some theorems on quadratic forms applied in the study of analysis of variance problems: II. Effect of inequality of variance and of correlation between errors in the two-way classification.

*Annals of Mathematical Statistics*,

**25**, 484–498.

CrossRef Box, G. E. P. (1986). An apology for ecumenism in statistics. In G. E. P. Box, T. Leonard, & C.-F. Wu (Eds.),*Scientific inference, data analysis, and robustness* (pp. 51–84). New York: Academic Press.

Box, G. E. P., &Tiao, G. C. (1973).*Bayesian inference in statistical analysis*. Reading, MA: Addison-Wesley.

Camilli, G. (1990). The test of homogeneity for 2 × 2 contingency tables: A review of and some personal opinions on the controversy.

*Psychological Bulletin*,

**108**, 135–145.

CrossRef Cohen, J. (1990). Things I have learned (so far).

*American Psychologist*,

**45**, 1304–1312.

CrossRef Fisher, R. A. (1925).*Statistical methods for research workers*. Edinburgh: Oliver & Boyd.

Fisher, R. A. (1935). The logic of inductive inference.

*Journal of the Royal Statistical Society*,

**98**, 39–54.

CrossRef Fisher, R. A. (1947).*The design of experiments*. New York: Hafner Press.

Fisher, R. A. (1955). Statistical methods and scientific induction.*Journal of the Royal Statistical Society, Series B*,**17**, 69–78.

Gigerenzer, G., Swijtink, Z., Porter, T., Daston, L., Beatty, J., &Krüger, L. (1989).*The empire of chance*. Cambridge: Cambridge University Press.

Greenhouse, S. W., &

Geisser, S. (1959). On methods in the analysis of profile data.

*Psychometrika*,

**24**, 95–112.

CrossRef Hays, W. (1973).*Statistics for the social sciences* (2nd ed.). New York: Holt.

Hertzog, C., &

Rovine, M. (1985). Repeated-measures analysis of variance in developmental research: Selected issues.

*Child Development*,

**56**, 787–809.

CrossRefPubMed Huynh, H., &

Feldt, L. S. (1970). Conditions under which mean square ratios in repeated measures designs have exact

*F* distributions.

*Journal of the American Statistical Association*,

**65**, 1582–1589.

CrossRef Huynh, H., &

Feldt, L. S. (1976). Estimation of the Box correction for degrees of freedom from sample data in the randomized block and split plot designs.

*Journal of Educational Statistics*,

**1**, 69–82.

CrossRef Lehmann, E. L. (1993). The Fisher, Neyman-Pearson theories of testing hypotheses: One theory or two?

*Journal of the American Statistical Association*,

**88**, 1242–1249.

CrossRef Lewis, C. (1993). Bayesian methods for the analysis of variance. In G. Kerens & C. Lewis (Eds.),*A handbook for data analysis in the behavioral sciences: Statistical issues* (pp. 233–258). Hillsdale, NJ: Erlbaum.

Loftus, G. R. (1991). On the tyranny of hypothesis testing in the social sciences.*Contemporary Psychology*,**36**, 102–105.

Loftus, G. R. (1993a). Editorial Comment.*Memory & Cognition*,**21**, 1–3.

Loftus, G. R. (1993b, November).*On the overreliance of significance testing in the social sciences*. Paper presented at the annual meeting of the Psychonomic Society, Washington, DC.

Loftus, G. R. (1993c). Visual data representation and hypothesis testing in the microcomputer age.*Behavior Research Methods, Instrumentation, & Computers*,**25**, 250–256.

Loftus, G. R., &Loftus, E. F. (1988).*Essence of statistics* (2nd ed.). New York: Random House.

Neyman, J. (1957). “Inductive behavior” as a basic concept of philosophy of science.

*Review of the International Statistical Institute*,

**25**, 7–22.

CrossRef Neyman, J., &Pearson, E. S. (1928). On the use and interpretation of certain test criteria for purposes of statistical inference.*Biometrika*,**20A**, 175–240, 263–294.

Neyman, J., &

Pearson, E. S. (1933). On the problem of the most efficient tests of statistical hypotheses.

*Philosophical Transactions of the Royal Society of London, Series A*,

**231**, 289–337.

CrossRef O’Brien, R. G., &

Kaiser, M. K. (1985). MANOVA method for analyzing repeated measures designs: An extensive primer.

*Psychological Bulletin*,

**97**, 316–333.

CrossRefPubMed Sternberg, S. (1966). High-speed scanning in human memory.

*Science*,

**153**, 652–654.

CrossRefPubMed Tufte, E. R. (1983).*The visual display of quantitative information*. Cheshire, CT: Graphics Press.

Tufte, E. R. (1990).*Envisioning information*. Cheshire, CT: Graphics Press.

Tukey, J. W. (1974). The future of data analysis.

*Annals of Mathematical Statistics*,

**33**, 1–67.

CrossRef Tukey, J. W. (1977).*Exploratory data analysis*. Reading, MA: Addison-Wesley.

Wainer, H., &Thissen, D. (1993). Graphical data analysis. In G. Kerens & C. Lewis (Eds.),*A handbook for data analysis in the behavioral sciences: Statistical issues* (pp. 391–458). Hillsdale, NJ: Erlbaum.

Winer, B. J. (1971).*Statistical principles in experimental design* (2nd ed.). New York: McGraw-Hill.

Winkler, R. L. (1993). Bayesian statistics: An overview. In G. Kerens & C. Lewis (Eds.),*A handbook for data analysis in the behavioral sciences: Statistical issues* (pp. 201–232). Hillsdale, NJ: Erlbaum.