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	<title>Comments on: Finding correlations using the Pearson correlation analysis.</title>
	<atom:link href="http://www.spsslog.com/2006/04/11/finding-correlations-with-the-chi-square-test/feed/" rel="self" type="application/rss+xml" />
	<link>http://www.spsslog.com/2006/04/11/finding-correlations-with-the-chi-square-test/</link>
	<description>From users, for users</description>
	<pubDate>Wed, 07 Jan 2009 13:18:06 +0000</pubDate>
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		<title>By: eva</title>
		<link>http://www.spsslog.com/2006/04/11/finding-correlations-with-the-chi-square-test/comment-page-1/#comment-6501</link>
		<dc:creator>eva</dc:creator>
		<pubDate>Mon, 07 Apr 2008 20:35:34 +0000</pubDate>
		<guid isPermaLink="false">http://www.spsslog.com/?p=19#comment-6501</guid>
		<description>how do you handle missing data ( e.g. a missing value) when doing a pearson correlation analysis?</description>
		<content:encoded><![CDATA[<p>how do you handle missing data ( e.g. a missing value) when doing a pearson correlation analysis?</p>
]]></content:encoded>
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	<item>
		<title>By: jethro</title>
		<link>http://www.spsslog.com/2006/04/11/finding-correlations-with-the-chi-square-test/comment-page-1/#comment-4355</link>
		<dc:creator>jethro</dc:creator>
		<pubDate>Thu, 01 Nov 2007 16:19:46 +0000</pubDate>
		<guid isPermaLink="false">http://www.spsslog.com/?p=19#comment-4355</guid>
		<description>may you help me with notes on ionterpretation of Pearson 2 tailed correlations resuklts</description>
		<content:encoded><![CDATA[<p>may you help me with notes on ionterpretation of Pearson 2 tailed correlations resuklts</p>
]]></content:encoded>
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		<title>By: andris</title>
		<link>http://www.spsslog.com/2006/04/11/finding-correlations-with-the-chi-square-test/comment-page-1/#comment-4005</link>
		<dc:creator>andris</dc:creator>
		<pubDate>Tue, 25 Sep 2007 08:20:41 +0000</pubDate>
		<guid isPermaLink="false">http://www.spsslog.com/?p=19#comment-4005</guid>
		<description>@S.A.:

I would suggest you ask your question at spssforum.com</description>
		<content:encoded><![CDATA[<p>@S.A.:</p>
<p>I would suggest you ask your question at spssforum.com</p>
]]></content:encoded>
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	<item>
		<title>By: S.A.</title>
		<link>http://www.spsslog.com/2006/04/11/finding-correlations-with-the-chi-square-test/comment-page-1/#comment-4003</link>
		<dc:creator>S.A.</dc:creator>
		<pubDate>Tue, 25 Sep 2007 07:06:37 +0000</pubDate>
		<guid isPermaLink="false">http://www.spsslog.com/?p=19#comment-4003</guid>
		<description>Just a question with regards to reporting Pearson correlations; in the above example, would the chicken-house correlation be reported thus:

r (7) = 0.78, p </description>
		<content:encoded><![CDATA[<p>Just a question with regards to reporting Pearson correlations; in the above example, would the chicken-house correlation be reported thus:</p>
<p>r (7) = 0.78, p</p>
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		<title>By: SPSSlog.com &#187; New categories and difficulty rating</title>
		<link>http://www.spsslog.com/2006/04/11/finding-correlations-with-the-chi-square-test/comment-page-1/#comment-5</link>
		<dc:creator>SPSSlog.com &#187; New categories and difficulty rating</dc:creator>
		<pubDate>Thu, 13 Apr 2006 19:48:29 +0000</pubDate>
		<guid isPermaLink="false">http://www.spsslog.com/?p=19#comment-5</guid>
		<description>[...] We have also added a rating to the Questions and answers posts. You can find the rating just below the title of a post. This rating shows what level of SPSS knowledge we think you should have if you can use to use the information in the post. So if you are a beginner, and see a posting with a 4 or 5 star rating, for example &#8220;Finding correlations using the Pearson correlation analysis.&#8220;, than you know you should stay far away from that one. [...]</description>
		<content:encoded><![CDATA[<p>[...] We have also added a rating to the Questions and answers posts. You can find the rating just below the title of a post. This rating shows what level of SPSS knowledge we think you should have if you can use to use the information in the post. So if you are a beginner, and see a posting with a 4 or 5 star rating, for example &#8220;Finding correlations using the Pearson correlation analysis.&#8220;, than you know you should stay far away from that one. [...]</p>
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