Hi all, I thought I'd pick the collective brains on RG! I have a 2x4 between-subjects design that I want to analyze with a multiple correlation/regression approach (with effects coding). I am looking for a reference to discuss the pros and cons of the MCR approach to ANOVA designs. Any input is welcome! Thanks!
mcr call it linear model. now, difference is just anova is designed for Y vs X meanwhile linear regression(mcr) creates a model where data is two dimensional or more. for example 2 vars vs 3 vars. anova is just for one comparis one vs one. 2 way anova is more when the output is one dimensional. just depends on scalar vs vectorial Y. good day
Hello M. J. Zagumny. It sounds to me as though you want some part(s) of the output from a REGRESSION command that you do not get with an ANOVA command. Is that right? If so, which parts of the REGRESSION output do you want? And what software are you using? If readers know what software you are using, they may be able to give clearer advice about how to get the output you want. Thanks for clarifying.
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