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	<title>Comments on: Field-tagged data</title>
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	<description>Stata, Sociology, and Diffusion Models</description>
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		<title>By: Randall Stross</title>
		<link>http://codeandculture.wordpress.com/2009/06/10/field-tagged-data/#comment-181</link>
		<dc:creator>Randall Stross</dc:creator>
		<pubDate>Fri, 12 Jun 2009 01:08:58 +0000</pubDate>
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		<description>I always enjoyed reading Franzosi&#039;s work. He covers the topic quite well.

Gabriel, yes human readability is a big concern for a lot of these formats. It&#039;s part of the main reasons for the existence of XML as well.</description>
		<content:encoded><![CDATA[<p>I always enjoyed reading Franzosi&#8217;s work. He covers the topic quite well.</p>
<p>Gabriel, yes human readability is a big concern for a lot of these formats. It&#8217;s part of the main reasons for the existence of XML as well.</p>
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		<title>By: gabrielrossman</title>
		<link>http://codeandculture.wordpress.com/2009/06/10/field-tagged-data/#comment-179</link>
		<dc:creator>gabrielrossman</dc:creator>
		<pubDate>Thu, 11 Jun 2009 01:56:42 +0000</pubDate>
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		<description>field-tagged data is still in the same case/variable paradigm as rectangular data and so it&#039;s pretty different from meta-text tagging of the sort used in qualitative analysis. i&#039;ve never seriously looked into QDA but my understanding is that what &lt;a href=&quot;http://www.atlasti.com/&quot; rel=&quot;nofollow&quot;&gt;atlas.ti&lt;/a&gt; and similar programs do is keep the literary text, archival documents, fieldnotes, or whatever, as a narrative but allow you to tag the meta-text. this then builds up what is effectively a turbo-charged index or concordance. all i can say is that i suggest you talk to people who do that kind of research and ask them whether the concordance and related features are worth the investment. 
btw, the last post i had on anything touching on narrative analysis was this piece on &lt;a href=&quot;http://codeandculture.wordpress.com/2009/04/26/graphing-novels/&quot; rel=&quot;nofollow&quot;&gt;textarc&lt;/a&gt;</description>
		<content:encoded><![CDATA[<p>field-tagged data is still in the same case/variable paradigm as rectangular data and so it&#8217;s pretty different from meta-text tagging of the sort used in qualitative analysis. i&#8217;ve never seriously looked into QDA but my understanding is that what <a href="http://www.atlasti.com/" rel="nofollow">atlas.ti</a> and similar programs do is keep the literary text, archival documents, fieldnotes, or whatever, as a narrative but allow you to tag the meta-text. this then builds up what is effectively a turbo-charged index or concordance. all i can say is that i suggest you talk to people who do that kind of research and ask them whether the concordance and related features are worth the investment.<br />
btw, the last post i had on anything touching on narrative analysis was this piece on <a href="http://codeandculture.wordpress.com/2009/04/26/graphing-novels/" rel="nofollow">textarc</a></p>
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		<title>By: Bobby Chen</title>
		<link>http://codeandculture.wordpress.com/2009/06/10/field-tagged-data/#comment-178</link>
		<dc:creator>Bobby Chen</dc:creator>
		<pubDate>Thu, 11 Jun 2009 00:03:36 +0000</pubDate>
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		<description>I&#039;ve been reading Franzosi&#039;s papers and books in trying to figure out the best way to code for my dissertation data (which are discourse data). He keeps going on about the advantage to using a database structure to organizing discourse data. I am not sold (yet) on the analytical or even practical leverage of coding up language data using a database structure.</description>
		<content:encoded><![CDATA[<p>I&#8217;ve been reading Franzosi&#8217;s papers and books in trying to figure out the best way to code for my dissertation data (which are discourse data). He keeps going on about the advantage to using a database structure to organizing discourse data. I am not sold (yet) on the analytical or even practical leverage of coding up language data using a database structure.</p>
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