Dear Sir or madam, Sorry to bother you with a minor "student" problem. I was referred to you by professor Howell who suggested you may be able to help me with a statistical problem I have not been able to solve myself so far. To put it briefly, I would like to correct multiple and canonical correlations for attentuation, however, I am not aware fo the correct formulars to carry this out. I am aware of the correction procedure for sinmple bivariate correlations. But I never came accross any formulars to correct multiple and canonical correlations for attenuation. I consulted several textbooks, further literature and statisticans without finding the solution to my problem. I would very much appreciate your help if you could give me any further advice iont he question how it is possible to correct multiple and canonical correlations for attentuation. I am doing a PhD in psychology on the relations between learning under implicit instruction, learning under explicit instruction and various intelligence factors. The hypothesis to be tested is that learning under implicit instruction shows a weaker relationship with iq measures than learning under explicit instruction. A study with 600 school children as participants recently completed appears to support the hypothesis. however, measures of implicit learning consistently obtained lower reliability estimates than measures of explicit learning. It is therefore very crucial in order to control for this possible artefact to correct the multiple and canonical correlations for attentuation. Unfortunatelty , this is exactly what I am not able to do right now. If you could give me any any advice on this issue, this owudl be a great help much appreicated. Thank you so much for your assistance! Yours faithfully Guido Gebauer =========================================================================== This list is open to everyone. Occasionally, less thoughtful people send inappropriate messages. Please DO NOT COMPLAIN TO THE POSTMASTER about these messages because the postmaster has no way of controlling them, and excessive complaints will result in termination of the list. For information about this list, including information about the problem of inappropriate messages and information about how to unsubscribe, please see the web page at http://jse.stat.ncsu.edu/ ===========================================================================
