Editing Likert scale (section)

=== Visual presentation of Likert-type data ===
An important part of data analysis and presentation is the visualization (or plotting) of data.  The subject of plotting Likert (and other) rating data is discussed at length in two papers by Robbins and Heiberger.<ref>{{cite book |last1=Robbins |first1=N. B. |last2=Heiberger |first2=R. M. |chapter=Plotting Likert and Other Rating Scales |title=JSM Proceedings, Section on Survey Research Methods |date=2011 |pages=1058–1066 |publisher=American Statistical Association |chapter-url=http://www.asasrms.org/Proceedings/y2011/Files/300784_64164.pdf}}</ref> In the first they recommend the use of what they call diverging stacked bar charts and compare them to other plotting styles. The second paper<ref>{{cite book |last1=Heiberger |first1=R. M. |last2=Robbins |first2=N. B. |chapter=Design of Diverging Stacked Bar Charts for Likert Scales and Other Applications |title=Journal of Statistical Software |date=2014 |volume=57 |issue=5 |pages=1–32 |publisher=American Statistical Association |doi=10.18637/jss.v057.i05 |doi-access=free |s2cid=61139330 |chapter-url=http://www.jstatsoft.org/v57/i05}}</ref> describes the use of the Likert function in the HH package for R, and gives many examples of its use. Another paper <ref>{{cite journal |last1=Koo |first1=M. |last2=Yang |first2=S. W. |title = Likert-Type Scale| journal = Encyclopedia| volume = 5| issue = 1| page = 18| year = 2025| doi = 10.3390/encyclopedia5010018|doi-access=free }}</ref> also provided [[Python (programming language)|Python]] code to create a clustered diverging stacked bar chart of 5-point Likert scale responses.