Dear all,
when running a reliability analysis, I get the well-known "The
determinant of the covariance matrix is zero or close to zero"
message. I understand what this message means (thanks to the SPSSX
archives) but am wondering about two points, on which your input would
be greatly appreciated:
* The result is that some values cannot be computed (such as squared
multiple correlations). However, for the other indices which are not
based on the inverse matrix and are therefore computed and given in
the output (Cronbach's Alpha, Corrected Item-Total Correlations etc.),
this should not be a problem, thus I might use them as they are. Or am
I mistaken? My sample size is N > 500.
* In addition, I have a conceptual question. My test is an IQ test,
and therefore the items (tapping the g factor in some way or another)
SHOULD actually correlate highly, shouldn't they?
In my example, I have eight subtests assessing different aspects of
figural, verbal, and numerical reasoning. For me, it is quite obvious
that items from one and the same subtest, thus tapping the same
ability (e.g., solving matrices), correlate highly when I compute the
internal consistency across the entire scale of 36 items ...
Thanks very much in advance
Tanja
--
Tanja Gabriele Baudson
Universität Trier
FB I Psychologie
Hochbegabtenforschung und -förderung
54286 Trier
Fon 0651/201-4558
Fax 0651/201-4578
Email
[hidden email]
Web
http://www.uni-trier.de/index.php?id=9492=====================
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