I have a data set of 35 observations with the predictor variable (x1) using the Likert scale and y = 0 or 1.
I run -logit- and -logistic- (Stata v 10) and get a result that says:
note: outcome = x1> 3 predicts data perfectly except for
x1 == 3 subsample:
x1 dropped and 28 obs not used
-logit- is dropping 28 of the 35 observations and is using only 7 observations
for the logit model but I don't understand the theoretical reason for doing so.
clear
input y x1
1 4
1 4
1 3
1 4
1 4
1 4
1 4
1 3
1 3
1 3
1 3
0 3
0 1
0 2
0 2
0 2
0 2
0 2
0 2
0 2
0 2
0 2
0 2
0 3
0 2
0 1
0 1
0 2
0 1
0 2
0 1
0 2
0 1
0 1
0 1
end
scatter y x1, jitter(5)
tab y x1
logit y x1
logistic y x1
_________________________________________________________________
Windows 7: It works the way you want. Learn more.
http://www.microsoft.com/Windows/windows-7/default.aspx?ocid=PID24727::T:WLMTAGL:ON:WL:en-US:WWL_WIN_evergreen:112009v2
*
* For searches and help try:
* http://www.stata.com/help.cgi?search
* http://www.stata.com/support/statalist/faq
* http://www.ats.ucla.edu/stat/stata/
