[Air-L] Content Analysis Information

Thu Feb 28 09:40:00 PST 2008

I would suggest Atlantis TI (with the possibility to code text and  
images/movies). As theoretical framework I use Stauss/Glaser's  
"Grounded Theory Approach"

Mag. Dominik M. Rosenauer

Klinischer und Gesundheitspsychologe
Psychotherapeut (SF) in Ausbildung unter Supervision

Capistrangasse 4/15
1060 Wien

M	+43.664.5315478
E	rosenauer at mac.com
H	www.psycheonline.at

Am 28.02.2008 um 15:38 schrieb Laura B Nielsen:

> 2/25/08
> TO:  Political Science Methodolgy-POLMETH
>         Association of Internet Researchers-Air-L
> Please find attached the consolidated submissions from my inquiry:
>
> “I am looking for reference material for use in my work at EPA. We  
> are planning to launch a discussion board with a limited number of  
> comment fields. But we also want to analyze discussion content in  
> order to better understand the needs and interests of our customers-- 
> in particular those who come to EPA seeking environmental information.
> 1) Have any of you been teaching about content analysis methods  
> lately? If so, what's your favorite reference?
> 2) Has anyone been working on content analysis of discussion boards  
> as a research method?”
>
> Thanks to everyone for all the helpful responses!
>
> Content Analysis Reference
> 3) Sent by: Harald Klein <intext at GMX.DE>  , Alexander Semenov <semenoffalex at googlemail.com
> if you are looking for an overview on content analysis research  
> methodes, Klaus Krippendorff's book is excellent:
> Krippendorff, Klaus (2004): Content Analysis. An Introduction ot Its  
> Methodology. Thousand Oaks. Sage. 411 pages
> 2) Sent by: "Callahan, Ewa S. Prof." <Ewa.Callahan at quinnipiac.edu>
> Following Alexander's note, I am a big fan of Krippendorff, especially
> his method of intercoder reliability testing. For his, and other  
> methods
> you can check:
> http://www.temple.edu/sct/mmc/reliability/
>
> followed up by:
> http://www.asc.upenn.edu/usr/krippendorff/dogs.html
>
> Content Analysis Research
> 0) Sent by: Muhammad Abdul-Mageed <mumageed at yahoo.com>
> Herring, S. C. (2007). Web(log) content analysis: Expanding the  
> paradigm. Submitted to J. Hunsinger, M. Allen, & L. Klastrup (Eds.),  
> The International Handbook of Internet Research. Springer Verlag.
>
> 1) Sent by: James Honaker <tercer at UCLA.EDU>
> There is a project that is quite close to what you want at the ISI  
> at USC.
> Their page, with a number of project papers and abstracts, is:
>
> http://www.isi.edu/division3/discourse/
>
> Their nlp goals are analysis of classroom discussion boards to
> create some degree of automated answering of student questions,  
> direction
> to previous threads, and links between students with similar  
> interests or
> research problems.  The project is specifically about discussion  
> boards
> commonly used for class teaching, but other than the classroom focus  
> it is
> very close to the subject you are seeking.
> (Full disclosure, my wife worked on this project.)
> 2) Sent by : Henry Kim <h27kim at EMAIL.ARIZONA.EDU>
> There is a group called "Dark Web" here at Univ of AZ where computer
> scientists are doing content analysis on web sites connected to  
> terrorism
> and more.  Some of the techniques they are using may be of use for  
> your
> purposes.
>
> Content Analysis Teaching
> 1) Sent by: Kevin Guidry <krguidry at gmail.com> , Muhammad Abdul- 
> Mageed <mumageed at yahoo.com>  , Alexander Semenov <semenoffalex at googlemail.com 
> >
> You may like to have a look at the course description, and syllabus,  
> of Prof. Susan Herring in Indiana University, for her course titled  
> "Content Analysis for the World Wide Web". Herring has been teaching  
> it for a long time and she has been trying to develop methodologies  
> for analyzing the WWW.
>
> Web site at http://www.slis.indiana.edu/faculty/herring/.
> Specifically: http://ella.slis.indiana.edu/~herring/web.syll.06.html
>
> The following article is her last written paper on the issue, as far  
> as I know:
>
> Herring, S. C. (2007). Web(log) content analysis: Expanding the  
> paradigm. Submitted to J. Hunsinger, M. Allen, & L. Klastrup (Eds.),  
> The International Handbook of Internet Research. Springer Verlag.
>
> Content Analysis Software
> 0) Sent by: Harald Klein <intext at GMX.DE>
> An overview on text analysis software gives http://www.textanalysis.info
>
> 1) Sent by: Paul Kellstedt <kellstedt at politics.tamu.edu>
> I'm the co-editor of The Political Methodologist. Tyler Johnson  
> wrote a
> review for us of the software package WordStat, which he liked. You  
> could
> find the back issue of TPM as a .pdf at the polmeth web site.
> http://polmeth.wustl.edu/thepolmeth.php
> 2) Sent by:  Michael Evans <evans.michael at gmail.com
> Over the past few years I have experimented with various methods of
> computer-assisted textual data analysis, including traditional and new
> approaches to content analysis. In the process, I have developed an
> expertise in two particularly useful software packages produced by
> Provalis Research: QDA Miner and WordStat.
> Provalis' approach is to closely integrate several methods of textual
> data analysis that have traditionally (and misleadingly) been thought
> of as solely "qualitative" or "quantitative." The result is a
> mixed-methods approach that does not merely provide the convenience of
> having several quantitative and qualitative functions in one package,
> but also allows for creative synthesizing of the functions in order to
> accomplish entirely new analytical tasks.  You can learn more about  
> QDA Miner here
> (http://www.provalisresearch.com/QDAMiner/QDAMinerDesc.html) and
> WordStat here (http://www.provalisresearch.com/wordstat/ 
> Wordstat.html).
>
>
> Related Topic – Analysis of Public Comments on Regulations
> 1) Sent by: schrodt <schrodt at ku.edu>
> Contact Stuart Shulman at the University of Pittsburgh -- he has some
> quite sophisticated software that does this sort of thing with public
> input on proposed regulations, and I assume it would work for your  
> project
> as well. In fact I think he has already done contract work for EPA  
> -- or
> at least I know he has analyzed environmental regulations
> 2) Sent by: John D Wilkerson <jwilker at u.washington.edu>
> There are a lot of people working on public commenting in agencies  
> in the field of information sciences. you should contact Stu Shulman  
> (shulman at pitt.edu) who works with Jamie Callan. But as far as I know  
> this is a pretty rich area of research in the e-government field.
> 3) Sent by: Russell Winn <ruwinn at nmsu.edu>
> Last summer I worked with public comments about designating  
> Wilderness Areas in southern New Mexico. The approach we took was to  
> treat each comment (e-mail, letter, etc.) as a separate document and  
> then used NVIVO to code and organize the responses(NVIVO is a nice  
> program for analyzing qualitative data but there are other programs  
> as well).
> Most of the ‘hand coding’ was done by a group of graduate students  
> who were enrolled in an Environmental Policy class I was teaching at  
> the time. As a class we reviewed some of the documents, met with  
> staff from the agency that had collected the comments, and drew up a  
> list of potential codes (NVIVO calls them nodes) along with a brief  
> description of when that node would be appropriate. I had every  
> document separately coded by 2 students. If there was a disagreement  
> about the coding the students met and agreed on a coding. Even with  
> this reliability check there was some confusion about the coding. I  
> ended up recoding many of the documents myself. If I were doing this  
> again I would probably do all the coding myself, or go through a  
> more lengthy training with the students that involved group coding  
> of a number of the documents.
> In the end we had too many nodes and the comments were a bit  
> difficult to analyze although we did find some interesting patterns.  
> Your project sounds more limited looking for needs and interests.
> 4) Sent by: Stephen Purpura <stevepurpura at gmail.com>
> I'm a PhD student at Cornell (and graduate of the Kennedy School of
> Government) and I pretty much just work on automating content  
> analysis of
> government data.  I have two papers set for publication at dgo.2008  
> (digital
> government research) on automating finding issues in regulatory rule
> comments (I can send the drafts) and another in press with JITP  (see
> http://www.stephenpurpura.com/20080116_HillardPurpuraWilkerson-revised.pdf) 
> .
> My other publications are listed at http://www.purpuras.net/publications.html 
> .
>
> Laura B. Nielsen, Ph.D.
> Adjunct Professor of Public Policy
> Georgetown Public Policy Institute
> 3520 Prospect Street, Suite 308F
> Washington, DC  20007
> WEB http://www.georgetown.edu/faculty/lbn4/
>
> Program Analyst
> Environmental Analysis Division, MC 2842T
> Office of Information Analysis and Access
> Office of Environmental Information
> U.S. Environmental Protection Agency
> (202) 566-0621
>
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