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	<title>Comments on: Stats and Methods Urban Legend 2: Control Variables Improve Your Study</title>
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	<link>http://neoacademic.com/2011/04/27/stats-and-methods-urban-legend-2-control-variables-improve-your-study/</link>
	<description>technology, education and training research from an industrial/organizational (I/O) psychologist in the ivory tower</description>
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		<title>By: Jeromy Anglim</title>
		<link>http://neoacademic.com/2011/04/27/stats-and-methods-urban-legend-2-control-variables-improve-your-study/#comment-8033</link>
		<dc:creator>Jeromy Anglim</dc:creator>
		<pubDate>Wed, 27 Apr 2011 14:37:20 +0000</pubDate>
		<guid isPermaLink="false">http://neoacademic.com/?p=1230#comment-8033</guid>
		<description><![CDATA[I&#039;ve just been reading this special issue of ORM. It&#039;s a good one. Thanks for summarising the article on covariates for the blogosphere.

I often encounter this problem of inappropriate use of covariates.
I&#039;d add a few other issues:
* not justifying causal mechanisms in a mediational models
* not justifying causal mechanisms in a moderating hypothesis, and 
* not justifying causal claims for the direction of a bivariate relationship in an observational study.

A common thread across all these issues, including the covariate one, seems to be an inadequate reflection of causal mechanism.]]></description>
		<content:encoded><![CDATA[<p>I&#8217;ve just been reading this special issue of ORM. It&#8217;s a good one. Thanks for summarising the article on covariates for the blogosphere.</p>
<p>I often encounter this problem of inappropriate use of covariates.<br />
I&#8217;d add a few other issues:<br />
* not justifying causal mechanisms in a mediational models<br />
* not justifying causal mechanisms in a moderating hypothesis, and<br />
* not justifying causal claims for the direction of a bivariate relationship in an observational study.</p>
<p>A common thread across all these issues, including the covariate one, seems to be an inadequate reflection of causal mechanism.</p>
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