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	<title>Rense Nieuwenhuis &#187; Manfred</title>
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	<description>&#34;The extra-ordinary lies within the curve of normality&#34;</description>
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		<title>Presenting Weighted Effect Coding</title>
		<link>http://www.rensenieuwenhuis.nl/presenting-weighted-effect-coding/</link>
		<comments>http://www.rensenieuwenhuis.nl/presenting-weighted-effect-coding/#comments</comments>
		<pubDate>Tue, 08 Nov 2016 07:25:55 +0000</pubDate>
		<dc:creator><![CDATA[Rense Nieuwenhuis]]></dc:creator>
				<category><![CDATA[Blogging about Science]]></category>
		<category><![CDATA[R-Project]]></category>
		<category><![CDATA[Science]]></category>
		<category><![CDATA[Talks]]></category>
		<category><![CDATA[dummy coding]]></category>
		<category><![CDATA[Manfred]]></category>
		<category><![CDATA[presentation]]></category>
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		<category><![CDATA[te grotenhuis]]></category>
		<category><![CDATA[wec]]></category>
		<category><![CDATA[weighted effect coding]]></category>

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		<description><![CDATA[Weighted effect coding is a variant of dummy coding to include categorical variables in regression analyses, in which the estimate for each category represents the deviation of that category from the sample mean. The ‘wec’ ...]]></description>
				<content:encoded><![CDATA[<p>Weighted effect coding is a variant of dummy coding to include categorical variables in regression analyses, in which the estimate for each category represents the deviation of that category from the sample mean. The ‘wec’ package for R provides tools to use weighted effect coding. </p>
<p>Manfred te Grotenhuis is currently visiting the Swedish Institute of Social Research (SOFI), where he presented our joint work on Weighted Effect Coding. The recoding of his presentation is available on <a href="https://www.youtube.com/watch?v=TTLde6HVfOg&#038;t=510s">Manfred&#8217;s YouTube channel</a>, and embedded below:</p>
<p><span class='embed-youtube' style='text-align:center; display: block;'><iframe class='youtube-player' type='text/html' width='1170' height='689' src='http://www.youtube.com/embed/TTLde6HVfOg?version=3&#038;rel=1&#038;fs=1&#038;autohide=2&#038;showsearch=0&#038;showinfo=1&#038;iv_load_policy=1&#038;wmode=transparent' frameborder='0' allowfullscreen='true'></iframe></span></p>
<p>The relevant papers are available here (open access):</p>
<ul>
<li><a href="http://link.springer.com/article/10.1007/s00038-016-0901-1">When size matters: advantages of weighted effect coding in observational studies</a></li>
<li><a href="http://link.springer.com/article/10.1007/s00038-016-0902-0">A novel method for modelling interaction between categorical variables</a></li>
</ul>
<p>More information, as well as software for SPSS and STATA are available from the <a href="http://www.ru.nl/sociology/mt/wec/downloads/">project website</a>. </p>
<p>ps. Stay updated for an exciting update to the ‘wec’ R package!</p>
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