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Re: st: statistical question: best summary measure for a 5-point Likert scale
From |
Ron�n Conroy <[email protected]> |
To |
[email protected] |
Subject |
Re: st: statistical question: best summary measure for a 5-point Likert scale |
Date |
Mon, 19 Jun 2006 10:03:07 +0100 |
On 14 Meith 2006, at 17:57, Christopher W. Ryan wrote:
I may be wrong, but I have some reservations about calculating
means of
scores on a 5-point Likert scale. To me it seems like an ordinal
scale.
I keep making the claim that the proper measure of central
tendency in
this case would be the median. None of my colleagues agree; I get the
feeling they don't see any problem with putting arbitrary consecutive
integer values on the different levels of performance. My point is
that, while it is neat and tidy and perhaps intuitive, we have no
evidence that the labeled levels on the performance scale are equally
"spaced."
A single item 5-point scale is problematic. If you have these
relative frequencies
A - 0%
B - 20%
C - 60%
D - 5%
E - 15%
there is no doubt as to the unequal spacing of the items, but the
median (C) is also the 25th and 75th centiles. Indeed, the most
important piece of information here is that almost two thirds of the
data fall into one of the five categories, while a further category
has no observations at all. This is not invented; I am analysing data
from clinical assessments that looks pretty much like this, and the
distribution of marks has led to the scrapping of the assessment.
Amongst other things, it revealed that a problem with the marks and
standards meant that there was almost no way a student could get a D
grade.
With a single item, I believe that there is no way of knowing what
the best data summary is until you have looked at the data.
A scale made up of such 5-point items, however, is a different
matter. Here, the assumption is that the inequalities in scale
intervals will cancel out and that the underlyings scale will
approximate to an interval measure. In this case, I favour averaging
the total score rather than presenting it as a sum.
We frequently see scales where the lowest response is scored as 1 and
the highest as 5. This means that the sum can vary between k and 5k,
where k is the number of items. Interpreting the sum entails knowing
how many items there are and remembering that no-one can score lower
than this. Silly.
The alternative is to take the average, which maps the final score
back onto the original measurement scale. No argument, say I.
=========
Ron�n Conroy
Royal College of Surgeons in Ireland
[email protected]
+353 (0) 1 402 2431
+353 (0) 87 799 97 95
www.flickr.com/photos/ronanconroy
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