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	<title>Comments on: Avoiding multicollinearity through conjoint analysis</title>
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	<link>http://www.opinionpath.com/2009/06/26/avoiding-multicollinearity-through-conjoint-analysis/</link>
	<description>Market Research and Communication Strategies</description>
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		<title>By: conjoint analysis</title>
		<link>http://www.opinionpath.com/2009/06/26/avoiding-multicollinearity-through-conjoint-analysis/comment-page-1/#comment-409</link>
		<dc:creator>conjoint analysis</dc:creator>
		<pubDate>Thu, 08 Apr 2010 08:18:16 +0000</pubDate>
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		<description>The analysis of the survey’s results reveals how much the addition or subtraction of a particular attribute would affect the preference for the overall product. After calibration with historical results and inclusion of cost factors, researchers can then use these results to predict the changes in market share or profits that would occur as the result of changing the product’s attributes</description>
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