Dear colleagues,
I know SPSS can not compute linear mixed models. I used 'R' before for
computing multivariate analyses. But, I never encountered such a major
difference in outcome between SPSS and 'R':
In SPSS the Pearson correlation between variable 1 and variable 2 is 31%
p0.001.
In
Dear collegues,
I have used R statistical program, package 'lmer', several times
already.
I never encountered major differences in the outcome between SPSS and R.
...untill my last analyses.
Would some know were the huge differences come from.
Thanks in advance, Ronald
In SPSS the Pearson
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