Posted by
bdates on
Sep 15, 2014; 4:35pm
URL: http://spssx-discussion.165.s1.nabble.com/Ordered-logsitic-regression-tp5727258p5727259.html
Nina,
There are actually a number of papers. I'm sending a link to one of the papers which looks like a thesis, but does an ordered logit analysis of five areas, each using a 5-point Likert scale. Her finding is that for the most part Likert scales are ordinal, not interval. She does say that the interval/ordinal dispute seems to be scale specific, which would mean that some kind of initial analysis should occur before applying a statistic with a particular scale type, akin to data modeling. Some articles draw the line between ordinal and interval at the 5-point line, with anything less than five response categories needing treatment at the ordinal level. Another issue is whether a total/sum score is being used, or individual items are being used. IRT enthusiasts believe that all ordered data are ordinal until scaled. I'm typically in the minority, but for the most part treat Likert-type data as ordinal. A thousand years ago I had a course with Rensis Likert, and what most people call Likert scaling is not at all; it's simply attaching 5 or more numbers to response categories over a series of statements. I definitely draw the line there because no scaling technique was really ever used. Good luck with this. You'll get some views from the other side.
http://www.olin.wustl.edu/docs/CRES/MarkdaSilva.pdf
Brian
-----Original Message-----
From: SPSSX(r) Discussion [mailto:
[hidden email]] On Behalf Of Nina Lasek
Sent: Monday, September 15, 2014 11:36 AM
To:
[hidden email]
Subject: Ordered logsitic regression
Dear all,
I am a bit afraid that my question is not necessarily completely SPSS-related, but would greatly appreciate any comments/ideas/references regarding the following problem:
In a regression model, my dependent variable is an attitudinal-item measured on a 4-point scale. Thus far, for my analyses I treated this variable as continouos. Now a reviewer challenges this view and recommends to conduct an ordered logistic regression analyses, e.g. via the PLUM Procedure in SPSS. OK, this seems doable but in my view complicates the analyses and interpretation a bit.
So I wonder what form of bias actually might result from modelling a categorical variable (with e.g. just 4 response options) as metric? Are there any papers available dealing with this topic?
Many thanks !
Nina
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