I think either is ok ..though my preference is histogram style. Even though (as 
Don says) the Likert scales are not necessarily "equal intervals" if we think 
about the relationship between our data and the true (unknowable) underlying 
function, I would consider the scales continuous as opposed to discrete 
(besides, can't a scale be continuous and _not_ equal interval?) . When we 
analyze the data we convert them to numbers and interpret the points _between_ 
two values ... this can't be done with blatantly discrete values such as 
political affiliations. You cant be half way between Democrat and Socialist if 
collected categorical style, but you _can_ be half way between agree and 
strongly agree, both as an individual response and a group average. I suspect 
(no firm data though) that most people, on most scales, treat them as 
continuous scales. I have seen enough people put their check mark half way two 
anchors on the scale. Also, when we write the scales we prod participants into 
responding as if it continuous with our verbal anchors such as _degree_ of 
agreement. Many of these scales have numbers and a continuous line prodding the 
participants to respond continuously as best they can. 

Finally, from the "two wrongs don't make a right" department, statistically we 
often treat the data as equal interval, not ordinal. And finally finally, if we 
don't want to worry about the relationship between our crude measurements and 
the "true" underlying variable (the "IQ is what IQ tests measure" attitude) 
much of the agonizing about this issue goes away .. I think (but its late, 
thinking is hazardous past 9 pm!). So there are lots of forces pushing those 
little numbers into the continuous category ... good question Nancy. 


========================== 
John W. Kulig, Ph.D. 
Professor of Psychology 
Coordinator, University Honors 
Plymouth State University 
Plymouth NH 03264 
========================== 

----- Original Message -----

From: "Christopher Green" <chri...@yorku.ca> 
To: "Teaching in the Psychological Sciences (TIPS)" 
<tips@fsulist.frostburg.edu> 
Sent: Thursday, April 12, 2012 5:23:02 PM 
Subject: Re: [tips] Likert scale graph/chart results presentation 







If you want to be scrupulous, the "convention" (such as it is) is to use bar 
graphs (with spaces between the bars) whenever the values use along the 
horizontal axis are discrete, and a histogram (with bars touching each other) 
when the values along the horizontal axis are continuous. 


But the convention is violated so regularly, that it is only a convention in 
the minds of scrupulous statisticians. 


Chris 




--- 
Christopher D. Green 
Department of Psychology 
York University 
Toronto, ON M3J 1P3 
Canada 

chri...@yorku.ca 
http://www.yorku.ca/christo/ ========================== 




On 2012-04-12, at 2:46 PM, drnanjo wrote: 










Hey gang: 

I am teaching an upper division research methods class for the first time in my 
life. 

As such, I want to be scrupulous about the guidance I give 

If one wishes to present likert scale results in pictorial form, would one do a 
histogram (continuous, with bars touching) or a bar graph (each point on the 
Likert scale represented by a bar? 

I am asking because the rules seem to be lose sometimes - for example, income 
is technically quantitative and ratio type data but 
some researchers divide income into "classes" and make a bar graph instead of a 
histogram or line graph. 

Thanks in advance for sharing the collective wisdom. 

Nancy Melucci 
(in this case) 
California State University in the Hills of Dominguez. 


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