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st: RE: Graphing Stacked Likert Scale With Neutral in Middle

From   "David Radwin" <[email protected]>
To   <[email protected]>
Subject   st: RE: Graphing Stacked Likert Scale With Neutral in Middle
Date   Fri, 20 Jul 2012 15:44:29 -0700 (PDT)

As described by the FAQ, Statalist members are admonished to provide the
author(s) and location of user-written programs. Although it may seem to
be an official Stata command, -catplot- is written by Nick Cox and is
available from SSC. (Members are also admonished to read the FAQ before

If you are willing to forgo showing the middle (neutral) category, you
might try -slideplot- (also by Nick Cox and available at SSC). If you must
show the middle category, the positives and negatives won't line up anyway
except in the rare instance when the two groups have exactly the same
proportion of neutral responses. Also, you may need to manipulate the data
first (as with -collapse- or -contract-) to get percentages or

David Radwin
Senior Research Associate
MPR Associates, Inc.
2150 Shattuck Ave., Suite 800
Berkeley, CA 94704
Phone: 510-849-4942
Fax: 510-849-0794

> -----Original Message-----
> From: [email protected] [mailto:owner-
> [email protected]] On Behalf Of Miles Witthaus
> Sent: Friday, July 20, 2012 3:11 PM
> To: [email protected]
> Subject: st: Graphing Stacked Likert Scale With Neutral in Middle
> I am attempting to display the answers to several survey questions based
> on 5-point Likert scales.  Currently, I am using catplot which nicely
> displays the different categories and what percent lies in each:
> catplot rate_contract, over(gender) asyvars stack perc(hire_charge)
> blabel(bar, position(center) format(%3.1f))
> However, this does not allow for a good comparison of the distribution
> gender.  I would like to try to make the median of the neutral category
> be in the center of the graph and then have positives stacked on the
> and negatives to the left to allow for better comparison by gender.  Is
> there anyway to do this with catplot or other graphing means?
> Thanks!

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