Hi Stefano,
So if I have a variable of continuous scores and want to match the sample based on scores within 1 sd (e.g. 15) rather than applying the cutpoints which creates categories of scores such that
cem gender kbitssw5 (70 85 100 115 130), treatment (group)
becomes the equivalent of
recode kbitssw5 (0/70 = 1 "Well below average") (70/85 = 2 "Below average") (85/115 = 2 "Average") (115/130 = 3 "Above average") (130/200 = 3 "Well above average"), gen(kbittssw5_5cat)
cem gender kbittssw5_5cat, treatment(group)
Can I match based on freely changing cutpoints to maintain that 1 sd ? Eg. A participant with a score of 80 could be matched to someone with a score anywhere between 65 and 95, and not just between 70 and 85
Kind regards
Emina
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.
Using the example provided 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, MClAudResearch AssistantIntergenerational Health Murdoch Children's Research InstituteThe Royal Children's Hospital, 50 Flemington RoadParkville, Victoria 3052 AustraliaE emina.omerovic@mcri.edu.auW mcri.edu.au
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