On Sat, 24 Jan 2015 14:22:39 -0800 (PST), MsHolm
<
mari....@gmail.com> wrote:
>Thanks again, and I´m sorry that I didn´t manage to make myself clear. Thanks for your patience! I´ll try again (hopefully better :-)
>
>Two readers rate the same variable and punch it individually into SPSS, (mac64_abn_fetal_blood_velocity and mam64_abn_fetal_blood_velocity).
>Reader 1 rates 150 subjects and reader 2 rates 150, the total N = 300.
>100 cases have only reader 1 score, 100 have only reader 2, while 100 of the subjects have been rated twice. Of the cases rated twice, 50 have the same score from both reader 1 and 2, 50 have a divergent score.
Here is what is confusing: You SEEM to have two raters
whose scores are called mac_ and mam_ respectively.
That would distinguish them, if they are in the same file and
each in the same record. That is what Bruce and I have assumed,
and our solution works. If they are in separate files, you can match
the two files on ID in order to put them in the same record.
Now, knowing that the interesting cases that need testing are
the ones with BOTH values instead of just one, a slightly different
test would work.
COMPUTE comb= MIN.1( mac_, mam_).
IF (comb NE MAX.1(mac_, mam_ ) ) comb= -99.
* set to missing when there are two non-matched values.
You have increased the confusion with the counts that you
have given, because they don't add up.
100 for reader 1 only
100 for reader 2 only
200 ratings with 100 for 1 and 100 for 2
If that is true, then each rater did 200.
>
>So, I want merge the information from both readers into one variable where the 50 with divergent score are missing.
>
>I understand that I can put in the 50 cases from either reader where they overlap and agree.
>
I'm sure that the analyses that you run should include a crosstab
or scattergram of the 100 subjects, to look at the apparent,
inherent error of all the measures (assuming the dual ratings
were not done because the cases were more difficult).
--
Rich Ulrich