Hi

The levels of measurement requirement for parametric stats is one with which I 
(and others) disagree, which is why I just discriminate between categorical and 
numerical variables in my decision tree, and why I tend not to teach much about 
nonparametric statistics (although I make references to them).  Here is one 
brief summary of the debate, coming down on my side in the end of course!

http://www.sagepub.com/upm-data/19708_6.pdf

I haven't followed it as much, but is it not also the case that many 
inferential tests match very closely with the results from randomization tests 
... further legitimizing the validity of the inferential statistics?

Take care
Jim


James M. Clark
Professor of Psychology
204-786-9757
204-774-4134 Fax
j.cl...@uwinnipeg.ca

>>> Rick Froman <rfro...@jbu.edu> 09-Dec-11 3:36 PM >>>
I have attached my decision tree if you are interested in pursuing this. Others 
format it somewhat differently. Probably the biggest question would be "where 
do you stop?" Would you include multivariate statistics and things like 
Structural Equation Modeling? My decision tree is limited to the basics of 
Intro Stats (and it doesn't include single-sample stats for comparing a sample 
mean to a population mean like the single sample z or t tests although they 
could easily be added). Mine include (in parentheses) non-parametric options 
for when the assumptions of a parametric test are not met (such as normality, 
equal variances or the data is not at the interval or ratio level of 
measurement). For the purpose of my decision tree, continuous variables are 
interval or ratio and categorical are nominal. If ordinal data is used, the 
nonparametric alternatives in parentheses would be appropriate.

Rick

Dr. Rick Froman, Chair
Division of Humanities and Social Sciences
John Brown University
Siloam Springs, AR  72761
rfro...@jbu.edu 
________________________________________
From: Michael Britt [mich...@thepsychfiles.com] 
Sent: Friday, December 09, 2011 3:15 PM
To: Teaching in the Psychological Sciences (TIPS)
Subject: Re: [tips] Finding the appropriate inferential test

I remember using these decision trees.  You know what?  "There ought to be an 
app for that!"  I'd be willing to make the app and put it on the app store for 
free if we can identify what info would make for the best tree.   I think that 
could be a handy app for students.

Michael


Michael A. Britt, Ph.D.
mich...@thepsychfiles.com 
http://www.ThePsychFiles.com 
Twitter: mbritt





On Dec 8, 2011, at 10:16 PM, Jim Clark wrote:

> Hi
>
> You don't mention what tests you want students to practice, but I have some 
> small sets of review problems for intro stats (binomial / sign test, various 
> t-tests, ANOVA, regression, chi2) at:
>
> http://ion.uwinnipeg.ca/~clark/teach/2101/ 
>
> The reviews are zReview_#.pdf, where # is 1, 2, or 3.  The 2nd page shows the 
> answers, but you could post just the question parts if you preferred.  There 
> is a decision tree there as well at:
>
> http://ion.uwinnipeg.ca/~clark/teach/2101/decisiontree3.pdf 
>
> If people have more sites, I too would be interested in hearing about them.
>
> Take care
> Jim
>
>
> James M. Clark
> Professor of Psychology
> 204-786-9757
> 204-774-4134 Fax
> j.cl...@uwinnipeg.ca 
>
>>>> Rick Froman <rfro...@jbu.edu> 08-Dec-11 8:59:24 PM >>>
> Does anyone know of any sites on the web that would provide students with 
> scenarios on which they could practice their skills in selecting an 
> appropriate inferential test?
>
> Rick
>
> Dr. Rick Froman, Chair
> Division of Humanities and Social Sciences
> John Brown University
> Siloam Springs, AR  72761
> rfro...@jbu.edu<mailto:rfro...@jbu.edu>
>
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