Hello,
I am looking for some help to interpret partial correlations (PC) between
vars A and B within repeated-measurement-design.
1. How are PC with .40, .50, .60, .70, .85 between A and B to be
interpreted? Are there the same 'rules of thumb' as for 'normal'
correlations?
2. How are PC to be interpreted when A and B could be identical (both A and
B measure the same attitude towards certain groups)? Special rules needed?
3. How are PC to be interpreted when PC is higher/lower than original
correlation? I've got here thousands of pages of statistical textbooks, but
no single word about all this is lost.
Hopefully any help welcome,
Christian
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