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 correlation between variable 1 and variable 2 is 31%
p<0.001.
In SPSS binary logistic regression gives us an OR=4.9 (95% CI 2.7-9.0),
p<0.001, n=338.
OR lower upper
gender 1,120 0,565 2,221
age 0,985 0,956 1,015
variable 2 4,937 2,698 9,032
In R multilevel logistic regression using statistical package 'lmer'
gives us an OR=10.2 (95% CI 6.3-14), p=0.24, n=338, groups: group 1, 98;
group 2 84.
OR lower upper
gender 2,295 -2,840 7,430
age 0,003 -70,047 70,054
variable 2 10,176 6,295 14,056
The crosstabs gives us:
variable A
Var B 0 1
0 156 108
1 17 57
Would somebody know how it is possible that in SPSS we get p<0.001 and
in R we get p=0.24?
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