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	<title>Comments on: R-Sessions 16: Multilevel Model Specification (lme4)</title>
	<atom:link href="http://www.rensenieuwenhuis.nl/r-sessions-16-multilevel-model-specification-lme4/feed/" rel="self" type="application/rss+xml" />
	<link>http://www.rensenieuwenhuis.nl/r-sessions-16-multilevel-model-specification-lme4/</link>
	<description>&#34;The extra-ordinary lies within the curve of normality&#34;</description>
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		<title>By: Rense Nieuwenhuis</title>
		<link>http://www.rensenieuwenhuis.nl/r-sessions-16-multilevel-model-specification-lme4/comment-page-1/#comment-12877</link>
		<dc:creator><![CDATA[Rense Nieuwenhuis]]></dc:creator>
		<pubDate>Sun, 15 Nov 2015 07:41:21 +0000</pubDate>
		<guid isPermaLink="false">http://www.rensenieuwenhuis.nl/?p=543#comment-12877</guid>
		<description><![CDATA[Thanks!

A .PDF version of most of the blogs about R is available: http://www.rensenieuwenhuis.nl/documents/Applied%20R.pdf]]></description>
		<content:encoded><![CDATA[<p>Thanks!</p>
<p>A .PDF version of most of the blogs about R is available: <a href="http://www.rensenieuwenhuis.nl/documents/Applied%20R.pdf" rel="nofollow">http://www.rensenieuwenhuis.nl/documents/Applied%20R.pdf</a></p>
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		<title>By: John Fresen</title>
		<link>http://www.rensenieuwenhuis.nl/r-sessions-16-multilevel-model-specification-lme4/comment-page-1/#comment-12874</link>
		<dc:creator><![CDATA[John Fresen]]></dc:creator>
		<pubDate>Sat, 14 Nov 2015 08:58:33 +0000</pubDate>
		<guid isPermaLink="false">http://www.rensenieuwenhuis.nl/?p=543#comment-12874</guid>
		<description><![CDATA[Excellent discussion of multi level model fitting in R.  
Would you be kind enough to supply a PDF copy so that I could give a hand out to students.    
Many thanks

John Fresen]]></description>
		<content:encoded><![CDATA[<p>Excellent discussion of multi level model fitting in R.<br />
Would you be kind enough to supply a PDF copy so that I could give a hand out to students.<br />
Many thanks</p>
<p>John Fresen</p>
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	<item>
		<title>By: Rense Nieuwenhuis</title>
		<link>http://www.rensenieuwenhuis.nl/r-sessions-16-multilevel-model-specification-lme4/comment-page-1/#comment-12021</link>
		<dc:creator><![CDATA[Rense Nieuwenhuis]]></dc:creator>
		<pubDate>Thu, 03 Sep 2015 14:20:19 +0000</pubDate>
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		<description><![CDATA[Absolutely!]]></description>
		<content:encoded><![CDATA[<p>Absolutely!</p>
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		<title>By: SALLY</title>
		<link>http://www.rensenieuwenhuis.nl/r-sessions-16-multilevel-model-specification-lme4/comment-page-1/#comment-11455</link>
		<dc:creator><![CDATA[SALLY]]></dc:creator>
		<pubDate>Mon, 27 Jul 2015 14:14:28 +0000</pubDate>
		<guid isPermaLink="false">http://www.rensenieuwenhuis.nl/?p=543#comment-11455</guid>
		<description><![CDATA[That&#039;s a great post! I have one question...could we include a Level 2 variable as DV e.g. school review scores in your example?
lmer(schoolreviewscore ~ standLRT * schavg + (1 + standLRT &#124; school), data=Exam)]]></description>
		<content:encoded><![CDATA[<p>That&#8217;s a great post! I have one question&#8230;could we include a Level 2 variable as DV e.g. school review scores in your example?<br />
lmer(schoolreviewscore ~ standLRT * schavg + (1 + standLRT | school), data=Exam)</p>
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		<title>By: marcusmorrisey</title>
		<link>http://www.rensenieuwenhuis.nl/r-sessions-16-multilevel-model-specification-lme4/comment-page-1/#comment-10908</link>
		<dc:creator><![CDATA[marcusmorrisey]]></dc:creator>
		<pubDate>Tue, 16 Jun 2015 19:11:10 +0000</pubDate>
		<guid isPermaLink="false">http://www.rensenieuwenhuis.nl/?p=543#comment-10908</guid>
		<description><![CDATA[Great post, very clear thanks!]]></description>
		<content:encoded><![CDATA[<p>Great post, very clear thanks!</p>
]]></content:encoded>
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	<item>
		<title>By: Rense Nieuwenhuis</title>
		<link>http://www.rensenieuwenhuis.nl/r-sessions-16-multilevel-model-specification-lme4/comment-page-1/#comment-10299</link>
		<dc:creator><![CDATA[Rense Nieuwenhuis]]></dc:creator>
		<pubDate>Tue, 21 Apr 2015 22:14:29 +0000</pubDate>
		<guid isPermaLink="false">http://www.rensenieuwenhuis.nl/?p=543#comment-10299</guid>
		<description><![CDATA[Hi Laura,

thank you for your comment, and for your interest on my (old) blogpost. I refrained from interpreting the results, as interpretations are really dependent on the purpose of the regression model. All parameter estimates are important, but which ones you emphasise in your interpretation depends on your research questions / hypotheses / modelling goals.

Should you have more specific questions, you are always welcome to contact me.]]></description>
		<content:encoded><![CDATA[<p>Hi Laura,</p>
<p>thank you for your comment, and for your interest on my (old) blogpost. I refrained from interpreting the results, as interpretations are really dependent on the purpose of the regression model. All parameter estimates are important, but which ones you emphasise in your interpretation depends on your research questions / hypotheses / modelling goals.</p>
<p>Should you have more specific questions, you are always welcome to contact me.</p>
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	<item>
		<title>By: Laura</title>
		<link>http://www.rensenieuwenhuis.nl/r-sessions-16-multilevel-model-specification-lme4/comment-page-1/#comment-10273</link>
		<dc:creator><![CDATA[Laura]]></dc:creator>
		<pubDate>Mon, 20 Apr 2015 17:55:38 +0000</pubDate>
		<guid isPermaLink="false">http://www.rensenieuwenhuis.nl/?p=543#comment-10273</guid>
		<description><![CDATA[I found this helpful to illustrate the different syntaxes but could you please provide some information on the interpretation of the output? And also how it differs across scenarios? What exactly are we meant to be looking at to determine our coefficients of interest?]]></description>
		<content:encoded><![CDATA[<p>I found this helpful to illustrate the different syntaxes but could you please provide some information on the interpretation of the output? And also how it differs across scenarios? What exactly are we meant to be looking at to determine our coefficients of interest?</p>
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		<title>By: Joe Powers</title>
		<link>http://www.rensenieuwenhuis.nl/r-sessions-16-multilevel-model-specification-lme4/comment-page-1/#comment-5459</link>
		<dc:creator><![CDATA[Joe Powers]]></dc:creator>
		<pubDate>Wed, 30 Jul 2014 21:12:54 +0000</pubDate>
		<guid isPermaLink="false">http://www.rensenieuwenhuis.nl/?p=543#comment-5459</guid>
		<description><![CDATA[Second that. This is the clearest answer I&#039;ve found in 2 years of trying to wrap my head around this. Thanks.]]></description>
		<content:encoded><![CDATA[<p>Second that. This is the clearest answer I&#8217;ve found in 2 years of trying to wrap my head around this. Thanks.</p>
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		<title>By: d l rogers</title>
		<link>http://www.rensenieuwenhuis.nl/r-sessions-16-multilevel-model-specification-lme4/comment-page-1/#comment-4914</link>
		<dc:creator><![CDATA[d l rogers]]></dc:creator>
		<pubDate>Sat, 22 Mar 2014 21:15:31 +0000</pubDate>
		<guid isPermaLink="false">http://www.rensenieuwenhuis.nl/?p=543#comment-4914</guid>
		<description><![CDATA[Two years later... me too! I need to work with several 2- or 3-level models, and can&#039;t seem to find any instructions for how to specify those in lme4 or nlme. :(]]></description>
		<content:encoded><![CDATA[<p>Two years later&#8230; me too! I need to work with several 2- or 3-level models, and can&#8217;t seem to find any instructions for how to specify those in lme4 or nlme. <img src="http://www.rensenieuwenhuis.nl/wp-includes/images/smilies/frownie.png" alt=":(" class="wp-smiley" style="height: 1em; max-height: 1em;" /></p>
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		<title>By: robie</title>
		<link>http://www.rensenieuwenhuis.nl/r-sessions-16-multilevel-model-specification-lme4/comment-page-1/#comment-4393</link>
		<dc:creator><![CDATA[robie]]></dc:creator>
		<pubDate>Wed, 08 Aug 2012 11:42:45 +0000</pubDate>
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		<description><![CDATA[great - very clear and good to include the crossed design. be good to see SPSS syntax equivalents and often people start with spss and move onto R]]></description>
		<content:encoded><![CDATA[<p>great &#8211; very clear and good to include the crossed design. be good to see SPSS syntax equivalents and often people start with spss and move onto R</p>
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