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MINDLESS SIGNIFICANCE TESTING
Decision science news has a post on hypothesis testing that I find relevant.
Some well-made points grow old while no one pays attention to them. One of the most embarrassing for social science is its categorical perception of p-values.
Tender of kindred Web site Andrew Gelman and Hal Stern have an article whose name says it all: The Difference Between “Significant” and “Not Significant” is not Itself Statistically Significant.
Link to The Difference Between Significant and Not Significant is Not Statistically Significant
About the author: Jose Quesada wanted to be a matador, an acrobatic pilot, or a painter, but found those activities not demanding enough, so he chose an academic career. He secretly hopes to orchestrate a system that produces papers without any human intervention (particularly, his).
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AMA citation:
Quesada J. The Difference Between Significant and Not Significant is Not Statistically Significant. Academic Productivity. 2006. Available at: http://www.academicproductivity.com/2006/the-difference-between-significant-and-not-significant-is-not-statistically-significant/. Accessed August 21, 2008.
APA citation:
Quesada, Jose. (2006). The Difference Between Significant and Not Significant is Not Statistically Significant. Retrieved August 21, 2008, from Academic Productivity Web site: http://www.academicproductivity.com/2006/the-difference-between-significant-and-not-significant-is-not-statistically-significant/
Chicago citation:
Quesada, Jose. 2006. The Difference Between Significant and Not Significant is Not Statistically Significant. Academic Productivity. http://www.academicproductivity.com/2006/the-difference-between-significant-and-not-significant-is-not-statistically-significant/ (accessed August 21, 2008).
Harvard citation:
Quesada, J 2006, The Difference Between Significant and Not Significant is Not Statistically Significant, Academic Productivity. Retrieved August 21, 2008, from <http://www.academicproductivity.com/2006/the-difference-between-significant-and-not-significant-is-not-statistically-significant/>
MLA citation:
Quesada, Jose. "The Difference Between Significant and Not Significant is Not Statistically Significant." 11 Dec. 2006. Academic Productivity. Accessed 21 Aug. 2008. <http://www.academicproductivity.com/2006/the-difference-between-significant-and-not-significant-is-not-statistically-significant/>
This entry was posted
on Monday, December 11th, 2006 at 9:16 am and is filed under Blog, Statistical analyses, Teaching.
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May 28th, 2007 at 3:37 pm
[...] A fuller description of the possible alternatives can be found here. One of the advantages of the t-test is that it can be applied to a relatively small number of cases. It was specifically designed to evaluate statistical differences for samples of 30 or less. However, although the assumption of normality is not too important with large samples, it is important with small sample sizes, for example less than 10. You also need to be aware that statistically significant does not mean the same as practically significant. [...]
July 19th, 2007 at 7:52 am
[...] A fuller description of the possible alternatives can be found here. One of the advantages of the t-test is that it can be applied to a relatively small number of cases. It was specifically designed to evaluate statistical differences for samples of 30 or less. However, although the assumption of normality is not too important with large samples, it is important with small sample sizes, for example less than 10. You also need to be aware that statistically significant does not mean the same as practically significant. [...]
December 18th, 2007 at 5:54 pm
[...] 11, 2006 by WDW A post at Academic Productivity describes a new (to me) problem with statistical significance: the [...]
April 3rd, 2008 at 5:19 pm
[...] Be aware that the difference between significant and not significant is not statistically significant [...]