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Thanks Dale,
I seem to remember some disucssion of this on the listserver as well.
I cannot find high corrleations in the matrix (nothin above .6) however,
I wonder if I use the variables as predictors of some Y and include
colinearity analysis, the relationsip might show up.
Bill
At 08:48 AM 4/14/1999 -0700, Dale Glaser wrote:
>Please someone correct me if mistaken, but if a determinant approaches zero
>then matrix inversion becomes problematic; the classic example is the case
>of singularity (variables that are virtual linear combinations of others);
>however, I recall asking about this exact issue a couple of years ago, and
>if memory serves me well Dave Nichols response was essentially "don't worry"
>about this warning. However, you ask an interesting question: in the
>context of factor analysis or other correlational methods, a determinant of
>zero implies singularity, hence, variables approaching correlation of 0; is
>this the same for reliability? Does a determinant approaching zero in
>reliability analysis entail highly correlated variables?
>
>Thanks
>
>Dale Glaser, Ph.D.
>Senior Scientist, Pacific Science & Engineering
>San Diego, CA
>
>-----Original Message-----
>From: SPSSX(r) Discussion [mailto:SPSSX-L@UGA.CC.UGA.EDU] On Behalf Of
>William Dudley
>Sent: Wednesday, April 14, 1999 6:22 AM
>To: SPSSX-L@UGA.CC.UGA.EDU
>Subject: Reliability analysis
>
>Whne running reliabilty analysis what does the warning * * * Determinant of
>matrix is close to zero:
>Indicate about the items making up a scale?
>
>Thanks
>Bill
>
>
>***************************************************
>* William N. Dudley, PhD *
>* Behavioral Science and Health Education *
>* Rollins School of Public Health *
>* Emory University *
>* Atlanta 30322 *
>* Phone 404 727 2447 *
>* FAX 404 727 1369 *
>***************************************************
>
>
***************************************************
* William N. Dudley, PhD *
* Behavioral Science and Health Education *
* Rollins School of Public Health *
* Emory University *
* Atlanta 30322 *
* Phone 404 727 2447 *
* FAX 404 727 1369 *
***************************************************
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