Lois Downey posted on Monday, January 12, 2009 - 3:24 pm
My dataset includes responses collected over time from a group of respondents. I want to compute a correlation coefficient between two quasi-continuous measures, with standard errors corrected for clustering within respondents. However, when I ask for standardized parameter estimates, the standardized estimates match the unstandardized estimates, and both look like covariances, rather than correlations. I'm using the following syntax:
If you do TYPE=BASIC COMPLEX; without a MODEL command, you will get both covariances and correlations.
Lois Downey posted on Monday, January 12, 2009 - 5:54 pm
Is there a way to get p-values for the correlations, using the method you've indicated? My goal was to get standard errors corrected for clustering of responses within respondents, so I could evaluate the significance of the correlations.