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Dear Mr. Gelade,
thanks for replying! I checked on this as well and this are the results:
http://spssx-discussion.1045642.n5.nabble.com/file/n3704443/correlation.jpg
Item s002 is keyed 'false'.
I added the keyed direction of the items, their correlation with item s002
'without value labels', 'with value labels' (0=True; 1=False), and after
recoding (recode s036...s097: (0=1) (1=0) --> ergo: recode all 'true' keyed
items).
I'm confused about item s282. I'm absolutely sure, that this item is keyed
'true' and its frequency table shows that recoding makes sense. Why is it
performing so differently?
Do I need to rely my recoding upon the 'without value labels' correlation?
Let's say, if an inter item correlation is negative from the very beginning
('without value labels'), recoding becomes inadequate?
The item-total statistics refers to 2 items increasing alpha if deleted:
s0204 (alpha=.454) and s282 (alpha= .455). Alpha including all 16 items was
equal to .451, so the increase is rather minimal.
Honestly, the more I'm trying to find a solution the more I get confused..
Thanks in advance!
--
View this message in context: http://spssx-discussion.1045642.n5.nabble.com/Inter-item-Covariance-Low-Reliability-tp3408731p3704443.html
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