[Air-L] Content Analysis Information

Thu Feb 28 09:37:23 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 15:54 schrieb NANCY MCDONALD-KNWRTHY:

> Hi, Laura... I am in the midst of "content analysis" right this  
> moment while preparing for my general exams in Cultural Studies/ 
> virtual ethnography.  I also have a folklore "bent" to my work as  
> well (one of my committee members is Amy Shuman, folklorist and  
> anthropologist in the English Dept) so you can tell that these  
> references might be of the linguistic/narrative perspective.
> 1.  Michael Toolan's book:  Narrative: a Critical Linguistic  
> Introduction
> 2.  Elinor Ochs and Lisa Capps' book" Living Narrative: Creating  
> Lives in Everyday Storytelling
> 3.  Wm. Labov whom Toolan devotes a major chapter (ch 5) in his  
> book: Labov's references date back to the 60s... his work is  
> "classic" and proves a model in a couple of seminal essays.
>
> These are a start..
>
> Nancy McDonald-Kenworthy, GA
> CSTW Writing Center Tutor
> www.cstw.org
>
> ----- Original Message -----
> From: Laura B Nielsen <lbn4 at georgetown.edu>
> Date: Thursday, February 28, 2008 9:38 am
> Subject: [Air-L] Content Analysis Information
>
>> 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
>> methodsyou 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
>> terrorismand 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
>> couldfind 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
>> (digitalgovernment 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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