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Sorry...I should have been more clear. :-) *snip* > If this is what you mean, how do you determine the placement > of friends in columns? > > Cheers, > Bruce My data file looks like this: ID/case mygender friend's gender my score friend's score 1 f f 10 11 2 f f 12 13 3 m m 9 10 4 m m 5 8 ... Essentially, I have pairs of same-sex friendship dyads, and I am looking at the association between individual scores and their best friend's scores. I can't use Pearson correlations, because individuals could initially be in either column (as an individual or a friend), hence the intra class correlations. I have already removed doubles from the data, and split my data file by gender, so I end up with intra-class correlations for female dyads (say, .27) and male dyads (say, .15). I want to test if there is a significant difference between these "correlations". Should Fisher's transformation work for ICC as it would for Pearson's r? Any help would be appreciated! Ange
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