Posted by
bdates on
Dec 31, 2014; 6:32pm
URL: http://spssx-discussion.165.s1.nabble.com/Question-About-Tests-of-Normality-and-Choice-of-Statistical-Analysis-tp5728302p5728311.html
Thanks Art and Bruce. This has been my position all along, especially given the robust nature of the t-test with regards to non-normality. My question was a result of a discussion/disagreement with a colleague with whom I teach stats (me in the Fall, him in the Winter). Bruce...thanks for the presentation. It's great! The listserve ought to download and save it. To all, a Happy New Year.
B
________________________________________
From: SPSSX(r) Discussion [
[hidden email]] on behalf of Bruce Weaver [
[hidden email]]
Sent: Wednesday, December 31, 2014 11:39 AM
To:
[hidden email]
Subject: Re: Question About Tests of Normality and Choice of Statistical Analysis
Hi Brian. My thoughts on testing for normality as a precursor to a
parametric test are summarized in a conference presentation I gave a few
years ago. A PDF of the slides can be found here:
https://www.nosm.ca/uploadedFiles/Research/Northern_Health_Research_Conference/Weaver,%20Bruce_Silly%20or%20Pointless%20Things.pdfCheers & Happy New Year.
Bruce
bdates wrote
> With regard to tests of normality such as Kolmogorov-Smirnov,
> Shapiro-Wilk, Anderson-Darling, etc., is anyone out there using the
> results to determine whether to perform a parametric (e.g., t-test) or
> non-parametric (e.g., Mann-Whitney U) on a dataset? If the data are
> interval, but are found not normal according to one of these tests, is
> that enough to discard a parametric statistic? Thanks.
>
> Brian
>
> Brian Dates, M.A.
> Director of Evaluation and Research | Evaluation & Research | Southwest
> Counseling Solutions
> Southwest Solutions
> 1700 Waterman, Detroit, MI 48209
> 313-841-8900 (x7442) office | 313-849-2702 fax
> bdates@
> <mailto:
> bdates@
> > | www.swsol.org<
http://www.swsol.org/>>
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