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Date:         Sun, 23 Jan 2011 21:46:45 +0100
Reply-To:     Tanja Gabriele Baudson <baudson@uni-trier.de>
Sender:       "SPSSX(r) Discussion" <SPSSX-L@LISTSERV.UGA.EDU>
From:         Tanja Gabriele Baudson <baudson@uni-trier.de>
Subject:      Reliability analyses of IQ tests
Content-Type: text/plain; charset=ISO-8859-1; format=flowed; delsp=yes

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 baudson@uni-trier.de Web http://www.uni-trier.de/index.php?id=9492

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