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From: | Alan Mead |
Subject: | Re: Propensity score matching in PSPP |
Date: | Wed, 02 Oct 2013 10:27:56 -0500 |
User-agent: | Mozilla/5.0 (Windows NT 6.1; WOW64; rv:17.0) Gecko/20130801 Thunderbird/17.0.8 |
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:
-- Alan D. Mead, Ph.D. President, Talent Algorithms Inc. +815.588.3846 (Office) +267.334.4143 (Mobile) http://www.alanmead.org 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 |
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