G. Adair. The hawthorne effect: a reconsideration of the methodological artifact. Journal of Applied Psychology, 69:334–345, 1984.
P. J. Bickel, E. A. Hammel, and J. W. O'Connell. Sex bias in graduate admissions: data from Berkeley. Science, 187:398–404, 1975.
D. T. Campbell and J. C. Stanley. Experimental and Quasi-Experimental Designs for Research. Houghton Mifflin, Boston, MA, 1963.
J. Cohen. Statistical Power Analysis for the Behavioral Sciences. Lawrence Erlbaum, 2nd edition, 1988.
P. D. Ellis. The Essential Guide to Effect Sizes: Statistical Power, Meta-Analysis, and the Interpretation of Research Results. Cambridge University Press, Cambridge, UK, 2010.
J. St. B. T. Evans, J. L. Barston, and P. Pollard. On the conflict between logic and belief in syllogistic reasoning. Memory and Cognition, 11:295–306, 1983.
R. A. Fisher. On the mathematical foundation of theoretical statistics. Philosophical Transactions of the Royal Society A, 222:309–368, 1922.
A. Gelman and H. Stern. The difference between “significant” and “not significant” is not itself statistically significant. The American Statistician, 60:328–331, 2006.
D. Hothersall. History of Psychology. McGraw-Hill, 2004.
A Kühberger, A Fritz, and T. Scherndl. Publication bias in psychology: a diagnosis based on the correlation between effect size and sample size. Public Library of Science One, 9:1–8, 2014.
D. Kahneman and A. Tversky. On the psychology of prediction. Psychological Review, 80:237–251, 1973.
Erich L. Lehmann. Fisher, Neyman, and the Creation of Classical Statistics. Springer, 2011.
P. H. Meehl. Theory testing in psychology and physics: a methodological paradox. Philosophy of Science, 34:103–115, 1967.
O. Pfungst. Clever Hans (The horse of Mr. von Osten): A contribution to experimental animal and human psychology. Henry Holt, 1911.
S. S. Stevens. On the theory of scales of measurement. Science, 103:677–680, 1946.