21. References¶

Ada84

G. Adair. The hawthorne effect: a reconsideration of the methodological artifact. Journal of Applied Psychology, 69:334–345, 1984.

Agr96

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

Agr02

A. Agresti. Categorical Data Analysis. Wiley, Hoboken, NJ, 2nd edition, 2002.

Ans73

F. J. Anscombe. Graphs in statistical analysis. American Statistician, 27:17–21, 1973.

BHOConnell75

P. J. Bickel, E. A. Hammel, and J. W. O'Connell. Sex bias in graduate admissions: data from Berkeley. Science, 187:398–404, 1975.

BF74

M. B. Brown and A. B. Forsythe. Robust tests for equality of variances. Journal of the American Statistical Association, 69:364–367, 1974.

CS63

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

CSG63

Donald Thomas Campbell, Julian C Stanley, and Nathaniel Lees Gage. Experimental and quasi-experimental designs for research. Houghton, Mifflin and Company, 1963.

Coc54

W. G. Cochran. The $\chi ^2$ test of goodness of fit. The Annals of Mathematical Statistics, 23:315–345, 1954.

Coh88

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

Cramer46

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

Dun61

O.J. Dunn. Multiple comparisons among means. Journal of the American Statistical Association, 56:52–64, 1961.

Ell10

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.

Ell02

Michael Ellman. Soviet repression statistics: some comments. Europe-Asia Studies, 54(7):1151–1172, 2002.

EBP83

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.

EHP11

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

Fis22a

R. A. Fisher. On the interpretation of $\chi ^2$ from contingency tables, and the calculation of $p$. Journal of the Royal Statistical Society, 84:87–94, 1922.

Fis22b

R. A. Fisher. On the mathematical foundation of theoretical statistics. Philosophical Transactions of the Royal Society A, 222:309–368, 1922.

GS06

A. Gelman and H. Stern. The difference between “significant” and “not significant” is not itself statistically significant. The American Statistician, 60:328–331, 2006.

Hay94

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

HMC05

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

Hol79

S. Holm. A simple sequentially rejective multiple test procedure. Scandinavian Journal of Statistics, 6:65–70, 1979.

Hot04

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

Hsu96

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

Ioa05

John P. A. Ioannidis. Why most published research findings are false. PLoS Med, 2(8):697–701, 2005.

KuhbergerFS14

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.

KT73

D. Kahneman and A. Tversky. On the psychology of prediction. Psychological Review, 80:237–251, 1973.

KW52

W. H. Kruskal and W. A. Wallis. Use of ranks in one-criterion variance analysis. Journal of the American Statistical Association, 47:583–621, 1952.

Lar78

K. Larntz. Small-sample comparisons of exact levels for chi-squared goodness-of-fit statistics. Journal of the American Statistical Association, 73:253–263, 1978.

Leh11

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

Lev60

H Levene. Robust tests for equality of variances. In I. Olkin et al, editor, Contributions to Probability and Statistics: Essays in Honor of Harold Hotelling, pages 278–292. Stanford University Press, Palo Alto, CA, 1960.

McN47

Q. McNemar. Note on the sampling error of the difference between correlated proportions or percentages. Psychometrika, 12:153–157, 1947.

Mee67

P. H. Meehl. Theory testing in psychology and physics: a methodological paradox. Philosophy of Science, 34:103–115, 1967.

Pea00

K. Pearson. 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, 50:157–175, 1900.

Pfu11

O. Pfungst. Clever Hans (The horse of Mr. von Osten): A contribution to experimental animal and human psychology. Henry Holt, 1911.

SA00

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

Sha95

J. P. Shaffer. Multiple hypothesis testing. Annual Review of Psychology, 46:561–584, 1995.

SR94

R. R. Sokal and F. J. Rohlf. Biometry: the principles and practice of statistics in biological research. Freeman, New York, 3rd edition, 1994.

Ste46

S. S. Stevens. On the theory of scales of measurement. Science, 103:677–680, 1946.

Wel47

B. L. Welch. The generalization of “Student's” problem when several different population variances are involved. Biometrika, 34:28–35, 1947.

Wel51

B. L. Welch. On the comparison of several mean values: an alternative approach. Biometrika, 38:330–336, 1951.

Yat34

F. Yates. Contingency tables involving small numbers and the $\chi ^2$ test. Supplement to the Journal of the Royal Statistical Society, 1:217–235, 1934.