[tips] Likert scale graph/chart results presentation

2012-04-12 Thread drnanjo


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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Re: [tips] Likert scale graph/chart results presentation

2012-04-12 Thread don allen
Hi Nancy-

I would use a separated bar graph. Items on a Likert scale are rarely (if ever) 
on a true equal interval continuum. The bar graph will make it clear that these 
were discrete responses. 

-Don.

- Original Message -
From: drnanjo drna...@aol.com
Date: Thursday, April 12, 2012 11:46 am
Subject: [tips] Likert scale graph/chart results presentation
To: Teaching in the Psychological Sciences (TIPS) tips@fsulist.frostburg.edu

 
 
 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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Don Allen
Retired professor
Langara College



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Re: [tips] Likert scale graph/chart results presentation

2012-04-12 Thread Christopher Green
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.
 
 -
 ---
 
 You are currently subscribed to tips as: chri...@yorku.ca.
 
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 (It may be necessary to cut and paste the above URL if the line is broken)
 
 or send a blank email to 
 leave-17270-430248.781165b5ef80a3cd2b14721caf62b...@fsulist.frostburg.edu
 
  
  


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Re: [tips] Likert scale graph/chart results presentation

2012-04-12 Thread Matthew Sigal
My advisor, Michael Friendly, literally wrote the book on *Visualizing
Categorical
Data* (of which Likert style responses are a subset, web
linkhttp://www.datavis.ca/books/vcd/).
 It was originally written for SAS, but some researchers have taken many of
the concepts and implemented them in R (package
linkhttp://cran.r-project.org/web/packages/vcd/index.html
).

For relationships between questions (or other categorical variables, like
gender), mosaic plots (simple
examplehttp://www.statmethods.net/advgraphs/mosaic.html)
are a good option, especially with the options for shading based upon the
size of the standardized residuals per cell.

I am also a fan of using correlation scatterplot matrices for
ordered-categorical data, where simple bar plots appear on the diagonal,
scatterplots with LOESS lines on the lower off-diagonals (with bubble size
indicating count), and correlation coefficients on the upper-diagonals (
example http://i.stack.imgur.com/hCzCn.png,
codehttp://www.r-statistics.com/2010/04/correlation-scatter-plot-matrix-for-ordered-categorical-data/
).

But you are correct in that, traditionally, likert results are visualized
using simple bar charts.

Hope that helps,

Matt

--
Matthew J. Sigal, BA (Hons), MA
Quantitative Methods, PhD2
Department of Psychology
262 Behavioural Science Building
York University, 4700 Keele St.
Toronto, ON, Canada M3J 1P3
(416) 736-2100 x66163
msi...@yorku.ca / www.matthewsigal.com



On Thu, Apr 12, 2012 at 14:46, drnanjo drna...@aol.com 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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Re: [tips] Likert scale graph/chart results presentation

2012-04-12 Thread John Kulig
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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RE: [tips] Likert scale graph/chart results presentation

2012-04-12 Thread Peterson, Douglas (USD)
From my limited reading about Likert and Likert scales, I'm not sure he would 
approve of reporting frequencies on individual items at all.  It is my 
understanding that a Likert scale is always a collection of Likert items 
designed to measure some construct.  Although it is common to report 
frequencies of responses and sometimes combinations of scores (such as the 
percentage of 4's and 5's) that is not how Likert intended them to be used.  I 
have read (or heard) that Likert items/scales are technically only those which 
use a 5 point scale of agreement, all others are technically Likert-like 
scales.  Those with labels other than agree/disagree are technically 
variations of semantic differential scales.  Can anyone confirm or deny this?

Finally, does the concern over interval become less of a problem when averaged 
or summed over a series of items, if the scale and its individual items have 
been developed properly?  

Doug

Doug Peterson, PhD
Associate Professor of Psychology
The University of South Dakota
Vermillion SD 57069
605.677.5223

From: John Kulig [ku...@mail.plymouth.edu]
Sent: Thursday, April 12, 2012 8:45 PM
To: Teaching in the Psychological Sciences (TIPS)
Subject: Re: [tips] Likert scale graph/chart results presentation

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
==


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.camailto: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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