Dear all,
I am Ph.D student at Chulalongkorn University in Thailand, I use package 'MICE'
and 'Amelia II' to impute missing data assump MAR and MNAR. I don't have
problem to impute under MAR, but I don't know how to impute MNAR. My MNAR data
generate under IRT model(3-PL);
n<-500 ## number of examinee
I<-20 ## number of items
num.imp<-5 ##number of imputations
p.missing<-c(0.09, 0.01) #prob of missing
theta<-sort(rnorm(n,0,1)) #ability
a<-rnorm(I,0.5,0.1) #discrimination
b<-rnorm(I,0,1) #difficulty
c<-runif(I,0,0.25) #guess
Only item 1-4 have missing data. If the response to each items was a 1
(correct), the probability of missing for each items was 1%. If the
response was a 0 (incorrect), the probability of missing was 9%. Thus, the
probability of missing each items was linked to the response of each items
itself (an unknown characteristic in real missing data situations).
Could you please tell me function or how to impute data under my situation.
I'am looking forward you sugtion.
Sincerely yours,
Kamontip Srihaset
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