I have conducted a PSM using SPSS and generated new matched data with propensity scores. My original data set was based on a HH questionnaire with 367 respondents. I wanted to generate a control group out of this data. I had a "treatment" administered on 217 and the rest 150 did not have this treatment. I ran a rather successful PSM and got some good results or so I think.
1. Logit estimate returned a Pseudo- R2 of .147 and Log Likelihood of 484.016; Chi Square of 14.454 and Prob>Chi2
Hello,
Why you ran to such change of PS definition domain !!!? ; because we know that:
The propensity score is the probability (from 0 to 1) of a subjct being in a particular group based on a given set of covariates.
Direct model comparisons with change in param estimates.
Hope this helps
Matt
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