Re: Random sample matched on variables

Posted by Ryan on Nov 15, 2012; 5:22am
URL: http://spssx-discussion.165.s1.nabble.com/Random-sample-matched-on-variables-tp5716152p5716208.html

I haven't been following this thread but this particular post jogged my memory; I came across an interesting SUGI paper a while back that you might find useful:

http://www.math.u-szeged.hu/stoch/szeminarium_absztrakt/Propensity_scores.pdf

I have seen other, more sophisticated approaches as well.

Again, not sure if this is related to what you're discussing. If not, feel free to disregard.

Ryan

On Nov 13, 2012, at 4:20 AM, Koen N <[hidden email]> wrote:

Both Paul and Martha,

thank you for your considerations. I hadn't delved too far into propensity
scores yet but from what I could tell earlier it was only to be used when
there's a 'treatment' involved. But if I understand correctly, the
'treatment' can be anything that seperates two groups (which in this case
would be paedophilia). As such it could be defined as "the probability of
being a pedophile based on measured covariates". Am I correct in this
understanding?

If I understand correctly I am to run a logistic regression in which I use
my group variable (which I first transform into having two groups instead of
three, which would be theoretically fine) as the dependent variable and my
selected covariates as predictors. I save my predicted values. After this
the actual matching begins and most sense would be to use the nearest
neighbour matching. It seems as if nearest neighbour matching is going to be
quite some work (manually finding the propensity score that is nearest to my
pedophilic group amongst the control group for every pedophilic
participant). Although I think I can cut down on a lot of time on that by
using some simple commands.

Is my understanding correct or am I mistaking on any of the steps I should
take?

Thanks again everyone!



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