Replieability, confidence, and priors

Psychological Science

Volumn 16, Issue 12, 2005, Pages 1009-1012

  Killeen, Peter R ^a  

^a ARIZONA STATE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; CONFIDENCE INTERVAL; HUMAN; METHODOLOGY; PSYCHOLOGY; REPRODUCIBILITY; STATISTICS;

CONFIDENCE INTERVALS; HUMANS; PSYCHOLOGY; REPRODUCIBILITY OF RESULTS;

EID: 30344453047     PISSN: 09567976     EISSN: None     Source Type: Journal    
DOI: 10.1111/j.1467-9280.2005.01653.x     Document Type: Article

References (28)

1. Bernardo, J.M. (in press). Reference analysis. In D. Dey & C.R. Rao (Eds.), Handbook of statistics (Vol 25). Amsterdam: Elsevier.
2. Byrne, M.D. (1993). A better tool for the Cognitive Scientist's toolbox: Randomization statistics. In W. Kintsch (Ed.), Proceedings of the Fifteenth Annual Conference of the Cognitive Science Society (pp. 289-293). Mawah, NJ: Erlbaum (Available from http://chil.rice.edu/byrne/pubs.html)
3. Cumming, G. (2005). Understanding the average probability of replication: Comment on Killeen (2005). Psychological Science, 16, 1002-1004.
4. Cumming, G., Williams, J., & Fidler, F. (2004). Replication and researchers' understanding of confidence intervals and standard error bars. Understanding Statistics, 3, 299-311.
5. Dixon, P. (2003). The p-value fallacy and how to avoid it. Canadian Journal of Experimental Psychology, 57, 189-202.
6. Doros, G., & Geier, A.B. (2005). Probability of replication revisited: Comment on "An alternative to null-hypothesis significance tests." Psychological Science, 16, 1005-1006.
7. Efron, B., & Tibshirani, R. (1993). An introduction to the bootstrap. London: Chapman & Hall.
8. Fidler, F., Thomason, N., Cumming, G., Finch, S., & Leeman, J. (2005). Still much to learn about confidence intervals. Psychological Science, 16, 494-495.
9. Field, A.P. (2003). The problems in using fixed-effects models of meta-analysis on real-world data. Understanding Statistics, 2, 105-124.
10. Forster, M., & Sober, E. (2004). Why likelihood? In M.L. Taper & S.R. Lele (Eds.), The nature of scientific evidence: Statistical, philosophical, and empirical considerations (pp. 153-190). Chicago: University of Chicago Press.
11. Hand, D.J. (2004). Measurement theory andpractice. New York: Oxford University Press.
12. Hunter, J.E. (1997). Needed: A ban on the significance test. Psychological Science, 8, 3-7.
13. Hunter, M.A., & May, R.B. (2003). Statistical testing and null distributions: What to do when samples are not random. Canadian Journal of Experimental Psychology, 57, 176-188.
14. Killeen, P.R. (2005). An alternative to null-hypothesis significance tests. Psychological Science, 16, 345-353.
15. Lee, M.D., & Wagenmakers, E.-J. (2005). Bayesian statistical inference in psychology: Comment on Trafimow (2003). Psychological Review, 112, 662-668.
16. Lunneborg, C.E. (2000). Data analysis by resampling: Concepts and applications. Pacific Grove, CA: Brooks/Cole/Duxhury.
17. Macdonald, R.R. (2005). Why replication probabilities depend on prior probability distributions: A rejoinder to Killeen (2005). Psychological Science, 16, 1007-1008.
18. Maurer, B.A. (2004). Models of scientific inquiry and statistical practice: Implications for the structure of scientific knowledge. In M.L. Taper & S.R. Lele (Eds.), The nature of scientific evidence: Statistical, philosophical, and empirical considerations (pp. 17-50). Chicago: University of Chicago Press.
19. May, K. (2003). A note on the use of confidence intervals. Understanding Statistics, 2, 133-135.
20. Neyman, J. (1960). First course in probability and statistics. New York: Holt, Rinehart and Winston.
21. O'Hagan, A., & Forster, J. (2004). Kendall's advanced theory of statistics: Vol. 2B: Bayesian inference (2nd ed.). New York: Oxford University Press.
22. Pitman, E.J.G. (1937). Significance tests which may be applied to samples from any populations. Supplement to the Journal of the Royal Statistical Society, 4, 119-130.
23. Rinaman, W.C., Heil, C., Strauss, M.T., Mascagni, M., & Sousa, M. (1996). Probability and statistics. In D. Zwillinger (Ed.), CRC standard mathematical tables and formulae (30th ed., pp. 569-668). Boca Raton, FL: CRC Press.
24. Royall, R. (1997). Statistical evidence: A likelihood paradigm. London: Chapman & Hall.
25. Savage, L.J. (1972). The foundations of statistics (2nd ed.). New York: Dover.
26. Seidenfeld, T. (1979). Philosophical problems of statistical inference: Learning from R. A. Fisher. London: D. Reidel.
27. Stigler, S.M. (1996). Statistics and the question of standards. Journal of Research of the National Institute of Standards and Technology, 101, 779-789.
28. Youden, W.J. (1972). Enduring values. Technometrics, 14, 1-11.