Re: Historical query regarding SPSS functionality

Posted by Jon Peck on Jan 01, 2021; 3:02pm
URL: http://spssx-discussion.165.s1.nabble.com/Historical-query-regarding-SPSS-functionality-tp5740087p5740095.html

I have used CATREG on occasion to model Likert scales.  The transformation plots it can produce can be helpful in evaluating the measurement level.  If the transformation plot is pretty linear, it's a good sign that ordinary regression and the like will not be misleading.

On Fri, Jan 1, 2021 at 7:53 AM Art Kendall <[hidden email]> wrote:

There are circumstances where results CAN be different.   

From a theoretical and policy perspective, I am a strong believer in
applying the SO WHAT test.

I was interested in hearing about experiences when results  WERE  or WERE
NOT different in a meaningful way in comparing conventional test results and
exact test results. I.e., for many purposes P LT .055, .050. and .045 are
substantively equivalent.

Similarly, on this list (and in other contexts) people have often worried
whether intervals between values are exactly equal. (To me the question is
whether or not the intervals are severely discrepant.)  What I have
suggested is using CATREG to actually test whether there was a substantive
difference in the results under varied level of measurement assumptions.
*To date* I have not heard of a situation when reporting the conventional
interval level assumption results made a substantive difference.  To prevent
problems with reviewers, it helps to add a note that the level of
measurement assumption was looked at.





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Art Kendall
Social Research Consultants
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