Re: [R] Comparing a 4-point and 5-point Likert scale

From: Joshua Wiley <jwiley.psych_at_gmail.com>
Date: Thu, 03 Jun 2010 09:23:12 -0700

Dear Simon,

These two questions already are comparable (using a strict sense of that word). What is your goal in trying to put them both on the same scale? Even if both were measured 1-5, it would be unreasonable to say that a 3 on one question meant the same as a 3 on the other question because they are fundamentally different question and the distributions both in your data and in the population I am presuming you wish to generalize to are potentially very different. Additionally, the responses and wording of the question are quite different (how much should be done vs. level of agreement).

If your goal is to make some sort of composite variable that you are predicting, what about z-scoring both? If you do dichotomize, why not use a theory driven approach? Does someone who thinks 'about the same' in whatever country the data was collected in fit your idea or definition of egalitarian? I imagine this could very quite a bit by country even, depending how much (if anything) was actually being done to lessen the gap between rich and poor.

It seems like your question is really more methodological than even statistical (although that may just be me).

Best regards,

Josh

On Thu, Jun 3, 2010 at 6:11 AM, Simon Kiss <sjkiss_at_gmail.com> wrote:
> Help with survey data:
> Hello R colleagues,
> I hope this is an appropriate place to direct this question.  It relates
> specifically to the comparability of a 5-point likert to a 4-point likert
> scale.
>
> One question in my dataset asks "How much should be done to reduce the gap
> between rich and poor"
> Much more, somewhat more, about the same, somewhat less and much less.
>
> The second questions ask:
> "People who can afford to, should be able to pay for their own health care"
> strongly agree, agree, disagree, strongly agree.
>
> Now, assuming that I rescale them so that 1 equals the most egalitarian
> position and the highest number (4 or 5) equals the least egalitarian
> position, how can I make these two results comparable.
>
> Two ways come to mind: one is to collapse both into a dichotomous variable
> and do a logistic regression on both. The danger here is that I have to
> decide what to do with the middle position in the first question, assign it
> to the egalitarian or non-egalitarian category.
> A second way would be to multiply the scores in the first question by 4 (to
> get results that are either 4, 8, 12, 16 or 20) and then multiply the second
> question by five to get responses that are either 5, 10, 15 or 20. My idea
> is then to add the two, average them and use that value as an index of
> economic egalitarianism?
> Yes / no? Suggestions?
> I am an R user and I hope that a purely statistical question is not
> especially misplaced.
> Yours truly,
> Simon Kiss
> *********************************
> Simon J. Kiss, PhD
> SSHRC and DAAD Post-Doctoral Fellow
> John F. Kennedy Institute of North America Studies
> Free University of Berlin
> Lansstraße 7-9
> 14195 Berlin, Germany
> Cell: +49 (0)1525-300-2812,
> Web: http://www.jfki.fu-berlin.de/index.html
>
> ______________________________________________
> R-help_at_r-project.org mailing list
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
>

-- 
Joshua Wiley
Senior in Psychology
University of California, Riverside
http://www.joshuawiley.com/

______________________________________________
R-help_at_r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
Received on Thu 03 Jun 2010 - 16:29:32 GMT

Archive maintained by Robert King, hosted by the discipline of statistics at the University of Newcastle, Australia.
Archive generated by hypermail 2.2.0, at Thu 03 Jun 2010 - 16:30:27 GMT.

Mailing list information is available at https://stat.ethz.ch/mailman/listinfo/r-help. Please read the posting guide before posting to the list.

list of date sections of archive