Web Pages and Qualitative Data Analysis
Dear all, we are starting Qualitative Data Analysis (QDA)of messages taken from Internet forums that we have saved as Web Pages (in HTML format) using the Firefox extension ScrapBook. We are now looking for QDA software that will allow us to analyse these Web Pages while keep the layout intact. Our department has some licenses for NVIVO. http://www.qsrinternational.com/products_nvivo.aspx While in the process of importing our data into NVIVo (HTML files that we have previously exported in PDF) we discovered that this program does not keep the original layout of the Web Page. From a PDF file NVIVO just imports the text. In other words it seems that we cannot use NVIVO for our analysis. Surfing around the Internet we discovered that ATLAS.ti (another QDA software) allows one to manage PDF files in a native mode (i.e. it keeps the page layout intact). http://www.atlasti.com/ However a single license for ATLAS costs 438 Euros (a bit expensive), and before we buy a license we would like to see if there are any other solutions available. Have you ever had similar problems? What type of software do you use for your QDA of Web Pages? Do you have other solutions to suggest? We look forward to your replies. S. -- My institutional page http://www.nuim.ie/nirsa/people/postdocs/stefano_de_paoli.shtml
Dear Stefano, Regarding analysis of HTML-documents I heared from a collegue he was very happy with this firefox addon: wired-maker. Not a fully fletched QDA, but the very most important / basic features are there: http://www.wired-marker.org/en/ Regarding Atlas.TI, are you sure it can do PDF? I once got myself a private students license (for some 100 bucks and something) and I cannot assign pdf documents to a project. Possibly its a limit of the students license or possibly it might be my limited training regarding this software. Kind regards, Axel On Mon, Aug 17, 2009 at 8:53 AM, Stefano De Paoli<Stefano.DePaoli@nuim.ie> wrote:
Dear all,
we are starting Qualitative Data Analysis (QDA)of messages taken from Internet forums that we have saved as Web Pages (in HTML format) using the Firefox extension ScrapBook.
We are now looking for QDA software that will allow us to analyse these Web Pages while keep the layout intact. Our department has some licenses for NVIVO.
http://www.qsrinternational.com/products_nvivo.aspx
While in the process of importing our data into NVIVo (HTML files that
we have previously exported in PDF) we discovered that this program does not keep the original layout of the Web Page. From a PDF file NVIVO just imports the text. In other words it seems that we cannot use NVIVO for our analysis.
Surfing around the Internet we discovered that ATLAS.ti (another QDA software) allows one to manage PDF files in a native mode (i.e. it keeps the page layout intact). http://www.atlasti.com/
However a single license for ATLAS costs 438 Euros (a bit expensive), and before we buy a license we would like to see if there are any other solutions available.
Have you ever had similar problems? What type of software do you use for your QDA of Web Pages? Do you have other solutions to suggest?
We look forward to your replies.
S.
--
My institutional page http://www.nuim.ie/nirsa/people/postdocs/stefano_de_paoli.shtml _______________________________________________ The Air-L@listserv.aoir.org mailing list is provided by the Association of Internet Researchers http://aoir.org Subscribe, change options or unsubscribe at: http://listserv.aoir.org/listinfo.cgi/air-l-aoir.org
Join the Association of Internet Researchers: http://www.aoir.org/
Dear Stefano, the 5th version of ATLAS.Ti allowed only the analysis of texts saved in RTF format - Rich Text Files. The new 6th version has a special feature which will allow you to convert PDF's to simple text files - see here http://www.atlasti.com/downloads/newfeatures6.pdf. Bottom line every document has to be converted to a plain RTF format doc before you can text analyze it. Its price is my main obstacle as well - there's a free trial version on site http://www.atlasti.com/demo.html Good luck, Sharon Best Wishes, Sharon Haleva Amir, HCLT Fellow (PhD Candidate) Faculty of Law, University of Haifa, ISRAEL. -------------------------------------------------- -----Original Message----- From: air-l-bounces@listserv.aoir.org [mailto:air-l-bounces@listserv.aoir.org] On Behalf Of Stefano De Paoli Sent: Monday, August 17, 2009 9:53 AM To: air-l@listserv.aoir.org Subject: [Air-L] Web Pages and Qualitative Data Analysis Dear all, we are starting Qualitative Data Analysis (QDA)of messages taken from Internet forums that we have saved as Web Pages (in HTML format) using the Firefox extension ScrapBook. We are now looking for QDA software that will allow us to analyse these Web Pages while keep the layout intact. Our department has some licenses for NVIVO. http://www.qsrinternational.com/products_nvivo.aspx While in the process of importing our data into NVIVo (HTML files that we have previously exported in PDF) we discovered that this program does not keep the original layout of the Web Page. From a PDF file NVIVO just imports the text. In other words it seems that we cannot use NVIVO for our analysis. Surfing around the Internet we discovered that ATLAS.ti (another QDA software) allows one to manage PDF files in a native mode (i.e. it keeps the page layout intact). http://www.atlasti.com/ However a single license for ATLAS costs 438 Euros (a bit expensive), and before we buy a license we would like to see if there are any other solutions available. Have you ever had similar problems? What type of software do you use for your QDA of Web Pages? Do you have other solutions to suggest? We look forward to your replies. S. -- My institutional page http://www.nuim.ie/nirsa/people/postdocs/stefano_de_paoli.shtml _______________________________________________ The Air-L@listserv.aoir.org mailing list is provided by the Association of Internet Researchers http://aoir.org Subscribe, change options or unsubscribe at: http://listserv.aoir.org/listinfo.cgi/air-l-aoir.org Join the Association of Internet Researchers: http://www.aoir.org/
participants (3)
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Axel Kittenberger -
Sharon Haleva Amir -
Stefano De Paoli