On Apr 8, 2014, at 7:20 AM, lghansse lise.hanss...@ugent.be wrote:
I'm trying to conduct a single level logistic analysis (as a beginning step
for a more advanced Multi-level analysis). However, when I try to run it, I
get following error:
Warning messages:
1: In model.response(mf, numeric) :
using type = numeric with a factor response will be ignored
2: In Ops.factor(y, z$residuals) : - not meaningful for factors
I haven't got a clue why I'm getting this because I used the exact same
syntax (same data preparation etc...) for a similar analysis (same
datastructure, different country).
Syntax:
Single_model1 - lm(openhrs1 ~ genhealt1 + age + sexpat1 + hhincome1 +
edupat1
+ etniciteit1, data=Slovakije)
My Missing data are coded as such, I already tried to run the analysis in a
data frame without the missing cases, but that didn't work either.
You are using the lm() function above, which is a regular least squares linear
regression for a continuous response variable.
If you want to run a logistic regression, you need to use glm() with 'family =
binomial':
Single_model1 - glm(openhrs1 ~ genhealt1 + age + sexpat1 + hhincome1 +
edupat1 + etniciteit1, family = binomial, data = Slovakije)
Regards,
Marc Schwartz
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