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	Comments on: Intraclass Correlation Coefficient in R	</title>
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	<link>https://www.datanovia.com/en/lessons/intraclass-correlation-coefficient-in-r/</link>
	<description>Data Mining and Statistics for Decision Support</description>
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		<title>
		By: Guðni		</title>
		<link>https://www.datanovia.com/en/lessons/intraclass-correlation-coefficient-in-r/#comment-29122</link>

		<dc:creator><![CDATA[Guðni]]></dc:creator>
		<pubDate>Tue, 02 Apr 2024 10:05:36 +0000</pubDate>
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					<description><![CDATA[In reply to &lt;a href=&quot;https://www.datanovia.com/en/lessons/intraclass-correlation-coefficient-in-r/#comment-28975&quot;&gt;Claudia&lt;/a&gt;.

The two-way mixed and two-way random methods will yield identical ICC values, so this choice will likely be inconsequential. The only difference is in interpretation: The two-way mixed model treats rater as a fixed effect, the two-way random model treats it as a random effect. The estimated ICCs will however be the same, see e.g., Table 4 in McGraw &#038; Wong (1996).]]></description>
			<content:encoded><![CDATA[<p>In reply to <a href="https://www.datanovia.com/en/lessons/intraclass-correlation-coefficient-in-r/#comment-28975">Claudia</a>.</p>
<p>The two-way mixed and two-way random methods will yield identical ICC values, so this choice will likely be inconsequential. The only difference is in interpretation: The two-way mixed model treats rater as a fixed effect, the two-way random model treats it as a random effect. The estimated ICCs will however be the same, see e.g., Table 4 in McGraw &amp; Wong (1996).</p>
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		<item>
		<title>
		By: Ginny		</title>
		<link>https://www.datanovia.com/en/lessons/intraclass-correlation-coefficient-in-r/#comment-29090</link>

		<dc:creator><![CDATA[Ginny]]></dc:creator>
		<pubDate>Fri, 08 Mar 2024 03:07:32 +0000</pubDate>
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					<description><![CDATA[I would love to know the answer to this if you&#039;ve figured it out!]]></description>
			<content:encoded><![CDATA[<p>I would love to know the answer to this if you&#8217;ve figured it out!</p>
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		<item>
		<title>
		By: Ginny		</title>
		<link>https://www.datanovia.com/en/lessons/intraclass-correlation-coefficient-in-r/#comment-29089</link>

		<dc:creator><![CDATA[Ginny]]></dc:creator>
		<pubDate>Fri, 08 Mar 2024 03:07:08 +0000</pubDate>
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					<description><![CDATA[In reply to &lt;a href=&quot;https://www.datanovia.com/en/lessons/intraclass-correlation-coefficient-in-r/#comment-28975&quot;&gt;Claudia&lt;/a&gt;.

I would love to know the answer to this if you&#039;ve figured it out!]]></description>
			<content:encoded><![CDATA[<p>In reply to <a href="https://www.datanovia.com/en/lessons/intraclass-correlation-coefficient-in-r/#comment-28975">Claudia</a>.</p>
<p>I would love to know the answer to this if you&#8217;ve figured it out!</p>
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		<item>
		<title>
		By: Claudia		</title>
		<link>https://www.datanovia.com/en/lessons/intraclass-correlation-coefficient-in-r/#comment-28975</link>

		<dc:creator><![CDATA[Claudia]]></dc:creator>
		<pubDate>Fri, 17 Nov 2023 17:53:50 +0000</pubDate>
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					<description><![CDATA[There seem to be only two options for the argument &quot;model&quot; (one-way and two-way). What should I do in case of a two-way mixed effects model?]]></description>
			<content:encoded><![CDATA[<p>There seem to be only two options for the argument &#8220;model&#8221; (one-way and two-way). What should I do in case of a two-way mixed effects model?</p>
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		<item>
		<title>
		By: Moritz Truninger		</title>
		<link>https://www.datanovia.com/en/lessons/intraclass-correlation-coefficient-in-r/#comment-28938</link>

		<dc:creator><![CDATA[Moritz Truninger]]></dc:creator>
		<pubDate>Wed, 04 Oct 2023 13:46:56 +0000</pubDate>
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					<description><![CDATA[Many thanks for the excellent explanation! 
One question regarding the icc-function of the irr-Package. While you can specify that your score is an average score, you cannot specify how many measurements flow into the average score. Would that not be needed for an appropriate adjustement of the ICC?]]></description>
			<content:encoded><![CDATA[<p>Many thanks for the excellent explanation!<br />
One question regarding the icc-function of the irr-Package. While you can specify that your score is an average score, you cannot specify how many measurements flow into the average score. Would that not be needed for an appropriate adjustement of the ICC?</p>
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		<title>
		By: Artyom		</title>
		<link>https://www.datanovia.com/en/lessons/intraclass-correlation-coefficient-in-r/#comment-20712</link>

		<dc:creator><![CDATA[Artyom]]></dc:creator>
		<pubDate>Mon, 06 Jul 2020 12:49:09 +0000</pubDate>
		<guid isPermaLink="false">https://www.datanovia.com/en/?post_type=dt_lessons&#038;p=10308#comment-20712</guid>

					<description><![CDATA[Thanks a lot for the great post! I would like to ask whether one could use the ICC with questionnaire scales instead of doctors, as in the example above? For instance, if 20 participants filled out a questionnaire with 3 factors that all 3 measure the same construct (e.g., the three factors could be number of shot drank per week, distance between each time a person drinks and # of friends who drink alcohol to measure alcoholism). So, could one use these three factors instead of &quot;doctors&quot; above (i.e., columns in the ICC)? Thank you!]]></description>
			<content:encoded><![CDATA[<p>Thanks a lot for the great post! I would like to ask whether one could use the ICC with questionnaire scales instead of doctors, as in the example above? For instance, if 20 participants filled out a questionnaire with 3 factors that all 3 measure the same construct (e.g., the three factors could be number of shot drank per week, distance between each time a person drinks and # of friends who drink alcohol to measure alcoholism). So, could one use these three factors instead of &#8220;doctors&#8221; above (i.e., columns in the ICC)? Thank you!</p>
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