Wikipedia describes these steps in propensity score matching:
1.Run logistic regression:
Dependent variable: Y = 1, if participate; Y = 0, otherwise.
Choose appropriate conditioning (instrumental) variables.
Obtain propensity score: predicted probability (p) or log[p/(1 - p)].
2.Match each participant to one or more nonparticipants on propensity score:
Nearest neighbor matching
Caliper matching
Mahalanobis metric matching in conjunction with PSM
Stratification matching
Difference-in-differences matching (kernel and local linear weights)
3.Multivariate analysis based on new sample
Use analyses appropriate for non-independent matched samples
So, yes PSPP could potentially be used to implement these steps, but you
would have to understand these steps and be able to complete each one.
OTOH, no, PSPP doesn't have a routine that will automatically perform
all these steps.
-Alan
On 10/1/2013 4:37 PM, Suniya Farooqui wrote:
Hi,
Can propensity score matching be done in PSPP? If so, can someone
please share those instructions?
I using PSPP 8.0 on Windows 7.
Thank you,
suniya
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