References

Adair, G. 1984. “The Hawthorne Effect: A Reconsideration of the Methodological Artifact.” Journal of Applied Psychology 69: 334–45.

Agresti, A. 1996. An Introduction to Categorical Data Analysis. Hoboken, NJ: Wiley.

———. 2002. Categorical Data Analysis. 2nd ed. Hoboken, NJ: Wiley.

Akaike, H. 1974. “A New Look at the Statistical Model Identification.” IEEE Transactions on Automatic Control 19: 716–23.

Bickel, P. J., E. A. Hammel, and J. W. O’Connell. 1975. “Sex Bias in Graduate Admissions: Data from Berkeley.” Science 187: 398–404.

Box, J. F. 1987. “Guinness, Gosset, Fisher, and Small Samples.” Statistical Science 2: 45–52.

Braun, John, and Duncan J Murdoch. 2007. A First Course in Statistical Programming with R. Cambridge University Press Cambridge.

Brown, M. B., and A. B. Forsythe. 1974. “Robust Tests for Equality of Variances.” Journal of the American Statistical Association 69: 364–67.

Campbell, D. T., and J. C. Stanley. 1963. Experimental and Quasi-Experimental Designs for Research. Boston, MA: Houghton Mifflin.

Cohen, J. 1988. Statistical Power Analysis for the Behavioral Sciences. 2nd ed. Lawrence Erlbaum.

Cook, R. D., and S. Weisberg. 1983. “Diagnostics for Heteroscedasticity in Regression.” Biometrika 70: 1–10.

Cramér, H. 1946. Mathematical Methods of Statistics. Princeton: Princeton University Press.

Dunn, O.J. 1961. “Multiple Comparisons Among Means.” Journal of the American Statistical Association 56: 52–64.

Ellis, P. D. 2010. The Essential Guide to Effect Sizes: Statistical Power, Meta-Analysis, and the Interpretation of Research Results. Cambridge, UK: Cambridge University Press.

Ellman, Michael. 2002. “Soviet Repression Statistics: Some Comments.” Europe-Asia Studies 54 (7). Taylor & Francis: 1151–72.

Evans, J. St. B. T., J. L. Barston, and P. Pollard. 1983. “On the Conflict Between Logic and Belief in Syllogistic Reasoning.” Memory and Cognition 11: 295–306.

Evans, M., N. Hastings, and B. Peacock. 2011. Statistical Distributions (3rd Ed). Wiley.

Fisher, R. A. 1922a. “On the Interpretation of \(\chi^2\) from Contingency Tables, and the Calculation of \(p\).” Journal of the Royal Statistical Society 84: 87–94.

———. 1922b. “On the Mathematical Foundation of Theoretical Statistics.” Philosophical Transactions of the Royal Society A 222: 309–68.

———. 1925. Statistical Methods for Research Workers. Edinburgh, UK: Oliver; Boyd.

Fox, J., and S. Weisberg. 2011. An R Companion to Applied Regression. 2nd ed. Los Angeles: Sage.

Gelman, A., and H. Stern. 2006. “The Difference Between ‘Significant’ and ‘Not Significant’ Is Not Itself Statistically Significant.” The American Statistician 60: 328–31.

Gunel, Erdogan, and James Dickey. 1974. “Bayes Factors for Independence in Contingency Tables.” Biometrika, 545–57.

Hays, W. L. 1994. Statistics. 5th ed. Fort Worth, TX: Harcourt Brace.

Hedges, L. V. 1981. “Distribution Theory for Glass’s Estimator of Effect Size and Related Estimators.” Journal of Educational Statistics 6: 107–28.

Hedges, L. V., and I. Olkin. 1985. Statistical Methods for Meta-Analysis. New York: Academic Press.

Hogg, R. V., J. V. McKean, and A. T. Craig. 2005. Introduction to Mathematical Statistics. 6th ed. Upper Saddle River, NJ: Pearson.

Holm, S. 1979. “A Simple Sequentially Rejective Multiple Test Procedure.” Scandinavian Journal of Statistics 6: 65–70.

Hothersall, D. 2004. History of Psychology. McGraw-Hill.

Hsu, J. C. 1996. Multiple Comparisons: Theory and Methods. London, UK: Chapman; Hall.

Ioannidis, John P. A. 2005. “Why Most Published Research Findings Are False.” PLoS Med 2 (8). Public Library of Science: 697–701.

Jeffreys, Harold. 1961. The Theory of Probability. 3rd ed. Oxford.

Johnson, Valen E. 2013. “Revised Standards for Statistical Evidence.” Proceedings of the National Academy of Sciences, no. 48: 19313–7.

Kahneman, D., and A. Tversky. 1973. “On the Psychology of Prediction.” Psychological Review 80: 237–51.

Kass, Robert E., and Adrian E. Raftery. 1995. “Bayes Factors.” Journal of the American Statistical Association 90: 773–95.

Keynes, John Maynard. 1923. A Tract on Monetary Reform. London: Macmillan; Company.

Kruschke, J. K. 2011. Doing Bayesian Data Analysis: A Tutorial with R and BUGS. Burlington, MA: Academic Press.

Kruskal, W. H., and W. A. Wallis. 1952. “Use of Ranks in One-Criterion Variance Analysis.” Journal of the American Statistical Association 47: 583–621.

Kühberger, A, A Fritz, and T. Scherndl. 2014. “Publication Bias in Psychology: A Diagnosis Based on the Correlation Between Effect Size and Sample Size.” Public Library of Science One 9: 1–8.

Lee, Michael D, and Eric-Jan Wagenmakers. 2014. Bayesian Cognitive Modeling: A Practical Course. Cambridge University Press.

Lehmann, Erich L. 2011. Fisher, Neyman, and the Creation of Classical Statistics. Springer.

Levene, H. 1960. “Robust Tests for Equality of Variances.” In Contributions to Probability and Statistics: Essays in Honor of Harold Hotelling, edited by I. Olkin et al, 278–92. Palo Alto, CA: Stanford University Press.

Long, J.S., and L.H. Ervin. 2000. “Using Heteroscedasticity Consistent Standard Errors in Thee Linear Regression Model.” The American Statistician 54: 217–24.

Matloff, Norman, and Norman S Matloff. 2011. The Art of R Programming: A Tour of Statistical Software Design. No Starch Press.

McGrath, R. E., and G. J. Meyer. 2006. “When Effect Sizes Disagree: The Case of \(r\) and \(d\).” Psychological Methods 11: 386–401.

McNemar, Q. 1947. “Note on the Sampling Error of the Difference Between Correlated Proportions or Percentages.” Psychometrika 12: 153–57.

Meehl, P. H. 1967. “Theory Testing in Psychology and Physics: A Methodological Paradox.” Philosophy of Science 34: 103–15.

Morey, Richard D., and Jeffrey N. Rouder. 2015. BayesFactor: Computation of Bayes Factors for Common Designs. http://CRAN.R-project.org/package=BayesFactor.

Pearson, K. 1900. “On the Criterion That a Given System of Deviations from the Probable in the Case of a Correlated System of Variables Is Such That It Can Be Reasonably Supposed to Have Arisen from Random Sampling.” Philosophical Magazine 50: 157–75.

Pfungst, O. 1911. Clever Hans (the Horse of Mr. von Osten): A Contribution to Experimental Animal and Human Psychology. Translated by C. L. Rahn. New York: Henry Holt.

R Core Team. 2013. R: A Language and Environment for Statistical Computing. Vienna, Austria: R Foundation for Statistical Computing.

Rosenthal, R. 1966. Experimenter Effects in Behavioral Research. New York: Appleton.

Rouder, J. N., P. L. Speckman, D. Sun, R. D. Morey, and G. Iverson. 2009. “Bayesian T-Tests for Accepting and Rejecting the Null Hypothesis.” Psychonomic Bulletin & Review 16: 225–37.

Sahai, H., and M. I. Ageel. 2000. The Analysis of Variance: Fixed, Random and Mixed Models. Boston: Birkhauser.

Shaffer, J. P. 1995. “Multiple Hypothesis Testing.” Annual Review of Psychology 46: 561–84.

Shapiro, S. S., and M. B. Wilk. 1965. “An Analysis of Variance Test for Normality (Complete Samples).” Biometrika 52: 591–611.

Spector, P. 2008. Data Manipulation with R. New York, NY: Springer.

Stevens, S. S. 1946. “On the Theory of Scales of Measurement.” Science 103: 677–80.

Stigler, S. M. 1986. The History of Statistics. Cambridge, MA: Harvard University Press.

Student, A. 1908. “The Probable Error of a Mean.” Biometrika 6: 1–2.

Teetor, P. 2011. R Cookbook. Sebastopol, CA: O’Reilly.

Welch, B. L. 1947. “The Generalization of ‘Student’s’ Problem When Several Different Population Variances Are Involved.” Biometrika 34: 28–35.

———. 1951. “On the Comparison of Several Mean Values: An Alternative Approach.” Biometrika 38: 330–36.

White, H. 1980. “A Heteroskedasticity-Consistent Covariance Matrix Estimator and a Direct Test for Heteroskedasticity.” Econometrika 48: 817–38.

Yates, F. 1934. “Contingency Tables Involving Small Numbers and the \(\chi^2\) Test.” Supplement to the Journal of the Royal Statistical Society 1: 217–35.