Hi,
if I understand correctly, you just need to specify the cutpoints argument in the cem()
function like on page 10 (bottom) of the pdf document you mention.
Usually the best thing to do is to write a simple reproducible example (R code + sample of
data) so that we can help you to solve your problem.
Best regards
Stefano
On 26 Sep 2018, at 04:11, Emina Omerovic
<emina.omerovic(a)mcri.edu.au> wrote:
From: cem-bounces(a)lists.gking.harvard.edu
<mailto:cem-bounces@lists.gking.harvard.edu>
[mailto:cem-bounces@lists.gking.harvard.edu
<mailto:cem-bounces@lists.gking.harvard.edu>] On Behalf Of Emina Omerovic
Sent: Wednesday, 26 September 2018 11:38 AM
To: cem(a)lists.gking.harvard.edu <mailto:cem@lists.gking.harvard.edu>
Subject: [cem] Matching for a continuous variable
Hello,
Using the example provided
http://scholar.harvard.edu/files/gking/files/cem.pdf
<http://scholar.harvard.edu/files/gking/files/cem.pdf> I am not sure how to
approach matching for continuous scores eg. An IQ score. Using my data sample and the
automated method, it appears all matches are within about 8 score points. If we wanted to
define the coarsening to about within 15 points (eg within 1 SD) how could I do this?
Thank you
Looking forward to the reply
Emina Omerovic BSc, MClAud
Research Assistant
Intergenerational Health
Murdoch Children's Research Institute
The Royal Children's Hospital, 50 Flemington Road
Parkville, Victoria 3052 Australia
E emina.omerovic(a)mcri.edu.au <mailto:emina.omerovic@mcri.edu.au>
W mcri.edu.au <https://www.mcri.edu.au/>
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