Draga, R. wrote:
.....
Would somebody know how it is possible that in SPSS we get p<0.001 and
in R we get p=0.24?
And, in 'R' the 95% CI of the Odds Ratio is 6.2-14.1. Why is the
p-value=0.24?
You asked this before and you are still not providing sufficient
information.
Harold already pointed out that excluding an important variance
component in SPSS could easily explain a difference in p values.
However, the discrepancy between CI and p value suggests that you could
be misreading the output from lmer(), and/or misspecifying the model.
Now, you are simply not telling us
- what you did
- what the data are like (esp. which variables vary within and between
levels)
- what the output was
- which version of lmer() was used
Also you are confusing us with "variable 1", "variable 2", "variable A",
and "Var B"
--
O__ ---- Peter Dalgaard Øster Farimagsgade 5, Entr.B
c/ /'_ --- Dept. of Biostatistics PO Box 2099, 1014 Cph. K
(*) \(*) -- University of Copenhagen Denmark Ph: (+45) 35327918
~~~~~~~~~~ - ([EMAIL PROTECTED]) FAX: (+45) 35327907
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