You don't mention the other variables to which this is to be related. If you 
planned to do a correlation between this variable and another interval 
variable, a Spearman rank order could be used.  If the other variable is a 
nominal grouping variable, another non parametric procedure could be used, 
depending on the number of groups. 

Rick

Rick Froman
[email protected]

> On Nov 11, 2013, at 12:02 PM, "Michael Britt" <[email protected]> 
> wrote:
> 
> 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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