I could use some assistance in using AmeliaView. I have data from a clinical trial where
57 participants were randomized to one of two treatments. I am currently looking at data
from measurements taken at three time points – pretreatment, midtreatment, and
posttreatment and would like to impute missing values from those who dropped out or failed
to complete assessments (i.e., non-random, non-ignorable missing data). The input data
format is SPSS. I have been getting a range of error messages, but I think they stem from
not organizing the data file correctly. Below is a partial illustration of the current
organization in SPSS (Dep=score on a depression measure, Neg=score on a measure of
negative thinking), which does not work:
Participant Treatment Dep-pre Dep-mid Dep-post Neg-pre Neg-mid Neg-post
1 1 28 20 15 80 65
50
2 2 25 23 20 85
80 80
3 1 30 25 80
70
4 2 20
70
.
.
.
Any thoughts on creating a data frame the corresponds to the elements in Amelia View’s
_Variables Dialog_ and _Time Series Cross Sectional Dialog_ options would be much
appreciated.
Sincerely,
Scott
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