I don't know. If the option doesn't appear in the GUI you could see if
the option is available in syntax and, if so, create the syntax using
the GUI and then paste it. It would probably be the same syntax in PSPP
as SPSS but the issue would be whether it's implemented and I don't know.
However, I have never used a multivariate routine to create "score"
variables in either PSPP or SPSS. I create new variables using compute
statements, which is a little more work but (assuming you save the
syntax) makes the process self-documenting and replicable. In general, I
would strongly advocate for the exclusive use of syntax for analyses (by
all means, use the GUI to create the syntax, but paste, run, and save
the syntax). But maybe these may be less serious considerations for your
context.
I'm not particularly familiar with logistic regression, but it looks
like you would create predicted values with something like: compute ps =
1/(1+exp(-(<alpha>+<beta>*x))). where ps is the new propensity score, x
is the matching variable and <alpha> and <beta> are the numerical values
in the logistic output.
I hope this helps.
-Alan
On 10/2/2013 10:04 AM, Suniya Farooqui wrote:
Thanks Alan! I can run a logistic regression but where can I find the
option to create a new variable and save the predicted probabilities
in PSPP (similar to the option in SPSS)?
On Tue, Oct 1, 2013 at 4:57 PM, Alan Mead <ame...@alanmead.org
<mailto:ame...@alanmead.org>> wrote:
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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