I'have fitted a mixed model in SPSS with fixed and random effects, and I would like to know what do the Fixed effects contrasts (type III) mean... In my model they are significant (e.g F=23.9; p=.012), but in the parameters estimates table the fixed variables are not significant... How should I interpret it? Thank you so much!!
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$\begingroup$ They are testing different hypotheses, so the $p$-values do not have to agree. This issue has been discussed on this site on several occasions in various contexts (e.g. stats.stackexchange.com/questions/16665/…). $\endgroup$– MacroCommented Jun 1, 2012 at 18:33
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$\begingroup$ @Macro Don't you think your remark sounds a little harsh given that you are addressing a newcomer? $\endgroup$– Michael R. ChernickCommented Jun 2, 2012 at 2:52
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$\begingroup$ @MichaelChernick, I wasn't trying to be harsh. I was just trying to be helpful by pointing out that Mike may find searching previous questions helpful. $\endgroup$– MacroCommented Jun 2, 2012 at 14:57
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$\begingroup$ Thank you, Macro and MichaelChernick, for your comments. I didn't find it that harsh; I'm sure I should have checked better the previous posts related to my question. It's just I'm new in statistics and not sure I'm understanding well some concepts... Do you think it is correct if I interpret that the independent variable is not significant as predictor, but there is a significant difference in the de dependent variable values related to the independent variable? Is it possible? $\endgroup$– Mike_999Commented Jun 2, 2012 at 15:42
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$\begingroup$ Sometimes I am sensitive to comments. Most people here are not sensitive and no one is intentionally harsh. $\endgroup$– Michael R. ChernickCommented Jun 2, 2012 at 16:28
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1 Answer
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If you ask to print the Contrast coefficients matrix in the Statistics dialog, you can see the linear combinations of parameters tested by the various tests of fixed effects.
