I fear I'm coming late to the party, but do find this useful:

http://www.google.com/url?sa=t&rct=j&q=&esrc=s&source=web&cd=1&sqi=2&ved=0CCkQFjAA&url=http%3A%2F%2Foak.ucc.nau.edu%2Frh232%2Fcourses%2FEPS625%2FHandouts%2FData%2520Transformation%2520Handout.pdf&ei=GpSGUvTxG8aI3AXGg4C4Cg&usg=AFQjCNEj_VHiueIGnPTfv4eLFEYd6Zlj3g&bvm=bv.56643336,d.b2I

I can't attest to the validity of these transformations, though: it's a wee bit 
beyond my ken.

m

--
Marc Carter, PhD
Associate Professor of Psychology
Chair, Department of Behavioral and Health Sciences
College of Arts & Sciences
Baker University
--


> -----Original Message-----
> From: Michael Britt [mailto:[email protected]]
> Sent: Monday, November 11, 2013 12:01 PM
> To: Teaching in the Psychological Sciences (TIPS)
> Subject: [tips] What to do with skewed data
>
> I did a survey which asked respondents how satisfied they are in their
> current (romantic) relationship on a 1=10 point scale (where 10="very
> satisfied).  While there was some variation, not surprisingly, the
> results are strongly negatively skewed.  That makes sense - most people
> are probably satisfied with their relationships or they would leave the
> other person (or there's some form of cognitive dissonance going on,
> but that's not my question.
>
> No matter how big the sample size (mine was 160 respondents) I assume
> you'll always get a skewed distribution on a question like this so
> wouldn't I be breaking the normalization assumption if I were to do
> correlations using these results?   I assume I could either do:  a) do
> some kind of transformation - but I've never done one before so I'm not
> familiar with it, or b) recode the data into 3 categories (perhaps 1-5
> is low satisfaction, 6-7 is moderate and 8-10 is high) and do a chi-
> squre instead of a correlation.
>
> Any thoughts?  Appreciate it.
>
> Michael
>
> Michael A. Britt, Ph.D.
> [email protected]
> http://www.ThePsychFiles.com
> Twitter: @mbritt
>
>
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