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	<title>Comments on: Market Research and &#8220;Ethical Treatment of Human Subjects&#8221;</title>
	<atom:link href="http://www.dimensionalresearch.com/blog/2010/01/26/market-research-and-ethical-treatment-of-human-subjects/feed/" rel="self" type="application/rss+xml" />
	<link>http://www.dimensionalresearch.com/blog/2010/01/26/market-research-and-ethical-treatment-of-human-subjects/</link>
	<description>Market Research Insights for Technology Companies</description>
	<lastBuildDate>Thu, 29 Jul 2010 18:26:28 +0000</lastBuildDate>
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		<title>By: Diane Hagglund</title>
		<link>http://www.dimensionalresearch.com/blog/2010/01/26/market-research-and-ethical-treatment-of-human-subjects/comment-page-1/#comment-304</link>
		<dc:creator>Diane Hagglund</dc:creator>
		<pubDate>Wed, 24 Feb 2010 03:50:10 +0000</pubDate>
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		<description>Great point Elinor.  Dimensional Research primarily does market research with technology professionals - an area where gender is not a relevant confounding variable.  I&#039;ll add an exception to #3 in cases where gender info does genuinely add value.</description>
		<content:encoded><![CDATA[<p>Great point Elinor.  Dimensional Research primarily does market research with technology professionals &#8211; an area where gender is not a relevant confounding variable.  I&#8217;ll add an exception to #3 in cases where gender info does genuinely add value.</p>
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		<title>By: Elinor Halford</title>
		<link>http://www.dimensionalresearch.com/blog/2010/01/26/market-research-and-ethical-treatment-of-human-subjects/comment-page-1/#comment-303</link>
		<dc:creator>Elinor Halford</dc:creator>
		<pubDate>Tue, 23 Feb 2010 16:09:11 +0000</pubDate>
		<guid isPermaLink="false">http://www.dimensionalresearch.com/blog/?p=383#comment-303</guid>
		<description>With regards to point 3, I&#039;m guessing a lot of the time gender may not matter but is needed for quota purposes to ensure a representative sample, which surely should be a key concern for anyone doing research? A basic concept of quantitative research is something called a &#039;confounding variable&#039; (http://en.wikipedia.org/wiki/Confounding) - if you don&#039;t know what proportion of respondents were e.g. female, you won&#039;t have any idea whether you can trust your data to be representative of the customer base or whether it&#039;s biased.

Otherwise, I completely agree with you Diane.</description>
		<content:encoded><![CDATA[<p>With regards to point 3, I&#8217;m guessing a lot of the time gender may not matter but is needed for quota purposes to ensure a representative sample, which surely should be a key concern for anyone doing research? A basic concept of quantitative research is something called a &#8216;confounding variable&#8217; (<a href="http://en.wikipedia.org/wiki/Confounding" rel="nofollow">http://en.wikipedia.org/wiki/Confounding</a>) &#8211; if you don&#8217;t know what proportion of respondents were e.g. female, you won&#8217;t have any idea whether you can trust your data to be representative of the customer base or whether it&#8217;s biased.</p>
<p>Otherwise, I completely agree with you Diane.</p>
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		<title>By: Sandy</title>
		<link>http://www.dimensionalresearch.com/blog/2010/01/26/market-research-and-ethical-treatment-of-human-subjects/comment-page-1/#comment-291</link>
		<dc:creator>Sandy</dc:creator>
		<pubDate>Thu, 28 Jan 2010 01:31:06 +0000</pubDate>
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		<description>Leave it to the professionals!</description>
		<content:encoded><![CDATA[<p>Leave it to the professionals!</p>
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