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> 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 > listPspp-users@gnu.orghttps://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/~meadhttp://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
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