Re: Propensity score matching in PSPP

[Suniya Farooqui]

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 <address@hidden> 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

_______________________________________________
Pspp-users mailing list
address@hidden
https://lists.gnu.org/mailman/listinfo/pspp-users

-- 

Alan D. Mead, Ph.D.
Assistant Professor
Industrial and Organizational Psychology Program
Department of Psychology
Lewis College of Human Sciences
Illinois Institute of Technology
3101 South Dearborn, 2nd floor
Chicago IL 60616

+312.567.5933 (Campus)
+815.588.3846 (Home Office)
+267.334.4143 (Mobile)
+312.567.3493 (Fax)

http://www.iit.edu/~mead
http://www.alanmead.org

Announcing the Ideas in Testing Research Seminar, October 11, 2013.
Free registration. Complete details: 
http://mypages.iit.edu/~mead/ideas2013/

Announcing the Journal of Computerized Adaptive Testing (JCAT), a
peer-reviewed electronic journal designed to advance the science and
practice of computerized adaptive testing: http://www.iacat.org/jcat

--

Suniya Farooqui | Research Associate

Social IMPACT Research Center

a program of Heartland Alliance

33 W. Grand Avenue, Suite 500 | Chicago, IL 60654

P: 312.870.4952 F: 312.870.4950 M: 562.644.3472