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 --- You are currently subscribed to tips as: [email protected]. To unsubscribe click here: http://fsulist.frostburg.edu/u?id=13090.68da6e6e5325aa33287ff385b70df5d5&n=T&l=tips&o=30023 or send a blank email to leave-30023-13090.68da6e6e5325aa33287ff385b70df...@fsulist.frostburg.edu
