Use and Misuse of Null-Hypothesis Significance Testing: Difference between revisions
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[http://www.santafe.edu/events/workshops/images/5/54/Use_and_Misuse_of_Null-Hypothesis_Significance_Testing_CSSS_07.ppt Slides here] | [http://www.santafe.edu/events/workshops/images/5/54/Use_and_Misuse_of_Null-Hypothesis_Significance_Testing_CSSS_07.ppt Slides here] | ||
... and references here in case you don't want to download the slides: | |||
Fidler, F., M. A. Burgman, G. Cumming, R. Buttrose, and N. Thomason. 2006. Impact of criticism of null-hypothesis significance testing on statistical reporting practices in conservation biology. Conservation Biology 20:1539-1544. | |||
Fidler, F., G. Cumming, M. Burgman, and N. Thomason. 2004a. Statistical reform in medicine, psychology and ecology. Journal of Socio Economics 33:615–630. | |||
Fidler, F., N. Thomason, G. Cumming, S. Finch, and J. Leeman. 2004b. Editors can lead researchers to confidence intervals but they can’t make them think: statistical reform lessons from medicine. Psychological Science 15:119–126. | |||
Altman, D. G., D. Machin, T. N. Bryant, and M. J. Gardner. 2000. Statistics with confidence: confidence intervals and statistical guidelines. 2nd edition. British Medical Journal Books, London. | |||
Seldrup, J. 1997. Whatever happened to the t test? Drug Information Journal 31:745–750. | |||
Hill, C. R., and B. Thompson. 2004. Computing and interpreting effect sizes. Pages 175–196 in J. C. Smart, editor. Higher education: handbook of theory and research. Volume 19. Kluwer, New York. | |||
Ziliak, S., and D. McCloskey. 2004. Size matters: the standard error of regressions in the American Economic Review. Journal of Socio Economics 33:527–546. | |||
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I have scheduled this tutorial for 3.15pm on Tuesday 26 June 2007. I will keep the tutorial strictly to an hour, during which I will aim to achieve the following: | I have scheduled this tutorial for 3.15pm on Tuesday 26 June 2007. I will keep the tutorial strictly to an hour, during which I will aim to achieve the following: | ||
Revision as of 22:49, 26 June 2007
... and references here in case you don't want to download the slides: Fidler, F., M. A. Burgman, G. Cumming, R. Buttrose, and N. Thomason. 2006. Impact of criticism of null-hypothesis significance testing on statistical reporting practices in conservation biology. Conservation Biology 20:1539-1544. Fidler, F., G. Cumming, M. Burgman, and N. Thomason. 2004a. Statistical reform in medicine, psychology and ecology. Journal of Socio Economics 33:615–630. Fidler, F., N. Thomason, G. Cumming, S. Finch, and J. Leeman. 2004b. Editors can lead researchers to confidence intervals but they can’t make them think: statistical reform lessons from medicine. Psychological Science 15:119–126. Altman, D. G., D. Machin, T. N. Bryant, and M. J. Gardner. 2000. Statistics with confidence: confidence intervals and statistical guidelines. 2nd edition. British Medical Journal Books, London. Seldrup, J. 1997. Whatever happened to the t test? Drug Information Journal 31:745–750. Hill, C. R., and B. Thompson. 2004. Computing and interpreting effect sizes. Pages 175–196 in J. C. Smart, editor. Higher education: handbook of theory and research. Volume 19. Kluwer, New York. Ziliak, S., and D. McCloskey. 2004. Size matters: the standard error of regressions in the American Economic Review. Journal of Socio Economics 33:527–546.
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I have scheduled this tutorial for 3.15pm on Tuesday 26 June 2007. I will keep the tutorial strictly to an hour, during which I will aim to achieve the following:
- Convince you that misuse of null-hypothesis signficance testing is a widespread problem. I will present examples from Australian mammal conservation, Bridge (the card game), lectures at SFI, gun control, infanticide and possibly more...
- Explain exactly what null-hypothesis significance testing can and can't tell you.
- Direct you towards techniques and literature that will improve your use of statistics. Note that I will not go into the details of any particular statistical procedure.
I like this kind of stuff. Misuse of statistics is rampant in my field. -Mike
Sounds very interesting! I will attend. Mollie