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	<title>Curving Normality &#187; social sciences</title>
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	<description>&#34;The extra-ordinary lies within the curve of normality&#34;</description>
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		<title>Presenting influence.ME at useR!</title>
		<link>http://www.rensenieuwenhuis.nl/presenting-influence-me-at-user/</link>
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		<pubDate>Fri, 10 Jul 2009 09:49:33 +0000</pubDate>
		<dc:creator>Rense Nieuwenhuis</dc:creator>
				<category><![CDATA[Influence.ME]]></category>
		<category><![CDATA[lme4]]></category>
		<category><![CDATA[mixed effects]]></category>
		<category><![CDATA[multilevel]]></category>
		<category><![CDATA[social sciences]]></category>
		<category><![CDATA[useR!]]></category>

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		<description><![CDATA[Today I presented influence.ME at the useR! conference in Rennes. Influence.ME is an R package for detecting influential data in mixed models. I developed this package together with Ben Pelzer and Manfred te Grotenhuis. More information about influence.ME can be ...]]></description>
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		<title>useR! 2008: Social Sciences</title>
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		<pubDate>Tue, 12 Aug 2008 13:28:58 +0000</pubDate>
		<dc:creator>Rense Nieuwenhuis</dc:creator>
				<category><![CDATA[R-Project]]></category>
		<category><![CDATA[questionnaire]]></category>
		<category><![CDATA[sampling]]></category>
		<category><![CDATA[small group]]></category>
		<category><![CDATA[social sciences]]></category>
		<category><![CDATA[useR! 2008]]></category>

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		<description><![CDATA[The next session I attended, was a Focus session on Social Sciences. Two presenters were present, and unfortunately for my beloved discipline, the session was held in one of the smaller rooms. 

The first presentation addressed a problem initially thought to be simple: what is the sample size we need to answer our research question(s), and how do we keep costs low? ]]></description>
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