After an illuminating discussion about statistical significance over on TeachLing
(http://www.jiscmail.ac.uk/TEACHLING), I bookmarked this site for determining
appropriate tests for different data sets (principally for use by students):
http://www.socscistatistics.com/tests/what_stats_test_wizard.aspx.
From the same discussion I also bookmarked the following for when I have time to
read it (hah...):
http://www.nature.com/nmeth/journal/v12/n3/full/nmeth.3288.html
And if my hint above isn't clear enough, you are all very welcome along to TeachLing
for discussions as interesting and possibly even more interesting than this!
Dave
--
Dr. Dave Sayers
Senior Lecturer, Dept Humanities, Sheffield Hallam University | www.shu.ac.uk
Honorary Research Fellow, Cardiff University & WISERD | www.wiserd.ac.uk
[log in to unmask] | http://shu.academia.edu/DaveSayers
On 11/03/2016 00:04, VAR-L automatic digest system wrote:
>
> Date: Thu, 10 Mar 2016 10:49:50 +0000
> From: Kirk Hazen<[log in to unmask]>
> Subject: p-values
>
> Dear VAR-L Folk,
>
>
> Does anyone have thoughts on the American Statistical Association's recent statement on p-values? Perhaps along the lines of how p-values are used in variationist work? A summary article is here (at fivethirtyeight.com:<http://fivethirtyeight.com/features/statisticians-found-one-thing-they-can-agree-on-its-time-to-stop-misusing-p-values/> http://fivethirtyeight.com/features/statisticians-found-one-thing-they-can-agree-on-its-time-to-stop-misusing-p-values/): General consensus is that too many researchers have misused p-values. Essentially, researchers have been over-extending what all p-values can do.
>
>
> Here is a quote from the summary article:
>
>
> "A common misconception among nonstatisticians is that p-values can tell you the probability that a result occurred by chance. This interpretation is dead wrong, but you see it again<http://www.americannursetoday.com/the-p-value-what-it-really-means/> and again<https://practice.sph.umich.edu/micphp/epicentral/p_value.php> and again<http://natajournals.org/doi/full/10.4085/1062-6050-51.1.04> and again<http://www.cdc.gov/des/consumers/research/understanding_scientific.html>. The p-value only tells you something about the probability of seeing your results given a particular hypothetical explanation - it cannot tell you the probability that the results are true or whether they're due to random chance. The ASA statement's Principle No. 2: "P-values do not measure the probability that the studied hypothesis is true, or the probability that the data were produced by random chance alone." "
>
>
> Thanks,
>
> Kirk "nonstatistician" Hazen
>
> @@@@@@@@@@@@@@@
> Kirk Hazen, Ph.D.
> Professor of Linguistics
> West Virginia Dialect Project<http://dialects.english.wvu.edu>
> Department of English, WVU
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