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    <title>topic Build/conduct a second-order factor Confirmatory Factor Analysis in Statistical Procedures</title>
    <link>https://communities.sas.com/t5/Statistical-Procedures/Build-conduct-a-second-order-factor-Confirmatory-Factor-Analysis/m-p/839277#M41567</link>
    <description>&lt;P&gt;Dear All:&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Re:&amp;nbsp;Second-Order Confirmatory Factor Analysis&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;I did fit a&amp;nbsp;Confirmatory Factor Analysis with four factors, please see below.&lt;/P&gt;&lt;P&gt;But at least two factors are highly correlated. F1 and F4 (0.92),&amp;nbsp;F2 and F4 (0.82),&amp;nbsp;F1 and F2 (0.67).&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;&amp;nbsp;One thought is to&amp;nbsp;&lt;/SPAN&gt;&lt;SPAN&gt;define a second-order factor that will account for the variability between the highly correlated factors. BUT I do not know how to conduct/build such a model.&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;So I need your help in this part.&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;Thank you very much in advance for your help&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;AbouEl-Makarim Aboueissa, PhD&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;Professor, Mathematics and Statistics&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;University of Southern Maine&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;Here is the code I used to conduct a CFA model with four factors and the data set.&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;data mydata;&lt;BR /&gt;input x6 x7 x8 x9 x10 x11 x12 x13 x14 x15 x16 x17 x18 x19 x20 x21 x22;&lt;BR /&gt;datalines;&lt;BR /&gt;5 4 2 1 4 4 5 5 5 5 5 5 2 5 5 1 4&lt;BR /&gt;4 4 3 2 4 5 5 4 5 4 5 4 2 5 5 1 4&lt;BR /&gt;4 4 4 2 3 4 4 4 4 4 4 4 2 4 4 2 4&lt;BR /&gt;4 4 4 2 3 4 4 4 4 4 4 4 2 4 4 2 4&lt;BR /&gt;5 5 5 1 5 3 5 3 4 4 5 4 1 5 5 2 4&lt;BR /&gt;3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3&lt;BR /&gt;3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3&lt;BR /&gt;3 2 4 2 4 3 3 4 4 4 4 4 1 4 4 2 2&lt;BR /&gt;3 4 5 2 2 4 3 4 4 4 4 5 2 3 4 2 3&lt;BR /&gt;4 4 5 2 3 5 5 3 4 3 5 3 2 5 4 3 5&lt;BR /&gt;4 4 3 1 2 4 5 4 4 3 5 5 2 5 4 3 4&lt;BR /&gt;5 4 5 1 1 5 5 5 5 5 5 3 3 5 3 3 5&lt;BR /&gt;3 4 4 2 4 4 4 3 4 4 4 4 4 4 2 2 2&lt;BR /&gt;3 4 4 2 2 4 4 2 5 2 4 4 2 4 4 3 4&lt;BR /&gt;3 4 4 3 3 3 3 3 3 3 4 4 2 3 3 3 3&lt;BR /&gt;4 5 5 1 3 4 5 4 5 4 4 4 2 4 4 3 4&lt;BR /&gt;5 5 5 2 3 5 5 3 4 5 5 2 1 5 5 1 4&lt;BR /&gt;4 4 4 2 2 4 4 3 4 4 4 4 2 5 4 2 5&lt;BR /&gt;4 5 4 1 1 3 4 3 5 4 3 4 2 4 4 2 4&lt;BR /&gt;5 4 3 1 2 3 4 4 4 3 4 3 2 4 4 2 4&lt;BR /&gt;4 4 4 2 1 4 4 4 4 4 4 3 1 5 4 1 5&lt;BR /&gt;5 5 3 1 3 5 5 3 5 4 4 4 1 5 5 1 5&lt;BR /&gt;4 5 5 2 3 4 5 5 5 5 5 5 1 5 5 3 5&lt;BR /&gt;4 5 4 2 3 5 5 5 5 5 5 5 1 5 5 2 5&lt;BR /&gt;5 5 4 1 3 4 5 5 5 5 5 5 1 5 5 1 4&lt;BR /&gt;5 5 4 2 4 5 5 5 5 4 5 5 1 5 5 2 5&lt;BR /&gt;5 5 5 1 3 4 5 5 5 4 5 5 1 5 5 1 5&lt;BR /&gt;4 4 3 2 4 4 4 4 4 3 4 4 2 4 4 1 5&lt;BR /&gt;4 5 5 1 2 4 5 3 5 5 4 4 1 5 4 3 4&lt;BR /&gt;3 4 5 1 4 5 3 3 5 4 4 5 2 5 4 1 4&lt;BR /&gt;3 4 4 2 1 4 4 4 4 3 4 4 2 4 4 2 3&lt;BR /&gt;4 4 3 1 3 4 5 3 5 4 4 3 4 5 5 3 5&lt;BR /&gt;4 4 4 2 2 4 3 3 4 4 3 3 4 3 4 3 3&lt;BR /&gt;5 5 5 1 1 5 5 5 5 5 5 5 1 5 5 1 5&lt;BR /&gt;4 4 4 1 3 4 4 4 4 4 4 4 1 4 4 1 4&lt;BR /&gt;5 5 3 1 2 4 5 5 5 5 5 5 2 5 5 1 5&lt;BR /&gt;4 4 4 2 4 5 4 4 5 4 4 5 2 5 5 2 5&lt;BR /&gt;3 5 3 1 1 1 5 5 3 3 4 3 3 4 3 1 3&lt;BR /&gt;5 5 4 1 3 4 5 4 5 4 5 4 1 5 5 1 4&lt;BR /&gt;5 5 5 2 2 4 5 3 4 4 5 4 2 4 4 3 3&lt;BR /&gt;4 4 1 1 4 3 4 3 4 3 4 5 1 3 3 2 2&lt;BR /&gt;5 4 3 1 5 4 5 3 3 3 4 4 1 4 5 1 4&lt;BR /&gt;5 5 2 1 2 4 5 5 2 4 5 4 2 4 4 2 2&lt;BR /&gt;4 4 5 2 4 5 4 5 5 4 5 4 4 5 4 3 5&lt;BR /&gt;4 4 4 1 1 5 5 5 4 4 5 4 2 5 5 1 3&lt;BR /&gt;5 5 2 1 4 2 5 2 4 4 4 5 1 4 4 1 4&lt;BR /&gt;5 5 4 2 2 2 5 2 5 5 5 5 2 5 4 4 4&lt;BR /&gt;5 4 3 1 4 4 5 3 4 4 5 5 1 5 5 1 4&lt;BR /&gt;4 5 5 4 2 4 4 4 4 4 4 4 2 4 4 2 4&lt;BR /&gt;3 5 4 2 3 4 5 5 5 5 5 5 1 5 5 2 1&lt;BR /&gt;3 4 4 2 2 3 4 4 5 4 5 4 2 5 5 3 4&lt;BR /&gt;5 5 4 1 3 4 5 3 4 2 4 4 1 5 4 1 4&lt;BR /&gt;4 4 4 1 5 4 4 4 4 4 3 3 2 4 4 2 4&lt;BR /&gt;3 5 3 4 3 3 4 3 4 3 5 4 3 5 5 3 4&lt;BR /&gt;2 4 4 2 4 4 4 4 4 4 4 4 2 4 4 2 4&lt;BR /&gt;1 3 1 1 2 4 4 2 4 5 3 5 2 3 4 1 5&lt;BR /&gt;1 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3&lt;BR /&gt;4 5 5 2 2 4 5 4 5 5 4 5 2 4 5 1 4&lt;BR /&gt;4 5 4 1 3 4 5 4 4 4 4 5 1 5 4 1 3&lt;BR /&gt;5 4 4 2 4 3 4 4 4 3 4 4 2 4 4 1 4&lt;BR /&gt;4 4 4 1 4 4 4 4 4 3 4 4 3 4 4 1 3&lt;BR /&gt;4 2 2 1 4 4 4 4 4 4 4 4 4 4 4 4 4&lt;BR /&gt;4 4 4 2 2 4 4 2 4 2 4 4 2 4 4 2 4&lt;BR /&gt;3 5 2 2 4 4 4 3 4 2 4 4 2 4 4 2 2&lt;BR /&gt;4 4 5 2 3 5 5 4 4 4 4 3 4 4 4 3 3&lt;BR /&gt;5 4 4 2 3 4 5 4 4 4 4 4 2 5 4 2 4&lt;BR /&gt;4 4 4 2 2 3 4 4 4 4 4 4 2 4 4 2 4&lt;BR /&gt;3 4 4 2 2 4 3 3 4 4 4 4 2 4 4 2 4&lt;BR /&gt;2 4 2 2 2 2 2 2 3 3 3 3 2 4 4 3 4&lt;BR /&gt;4 4 3 2 4 4 4 4 4 3 4 4 2 4 4 2 4&lt;BR /&gt;4 4 4 1 4 5 5 5 5 3 5 5 2 5 4 1 5&lt;BR /&gt;2 4 2 1 2 4 5 3 4 3 5 5 2 4 4 1 5&lt;BR /&gt;5 4 4 1 3 4 4 4 4 2 4 5 1 5 5 1 2&lt;BR /&gt;5 4 3 2 3 4 4 4 4 4 4 4 2 4 3 2 4&lt;BR /&gt;4 4 4 2 2 3 3 3 4 2 3 4 3 3 3 2 2&lt;BR /&gt;4 4 4 2 2 4 4 3 4 4 4 4 2 4 4 3 4&lt;BR /&gt;5 4 1 1 1 5 5 5 5 5 5 5 5 5 5 1 5&lt;BR /&gt;4 4 4 2 2 5 5 5 4 4 5 4 2 5 4 4 4&lt;BR /&gt;4 4 3 2 3 4 4 3 4 4 4 3 3 3 3 3 4&lt;BR /&gt;5 4 5 2 2 5 5 5 5 2 5 5 2 5 5 2 5&lt;BR /&gt;5 4 5 1 5 3 5 5 5 2 5 5 1 5 5 1 5&lt;BR /&gt;5 4 5 1 3 4 5 5 5 4 5 5 1 5 4 2 4&lt;BR /&gt;4 4 4 1 4 2 4 4 4 4 4 4 1 4 3 1 4&lt;BR /&gt;3 4 4 1 3 4 4 3 4 3 4 4 2 4 3 2 3&lt;BR /&gt;4 4 4 2 2 3 4 4 4 4 4 4 2 3 4 2 4&lt;BR /&gt;5 4 5 1 2 4 5 5 4 4 5 4 1 5 5 1 4&lt;BR /&gt;3 4 4 2 2 4 4 3 4 4 3 4 2 4 4 2 1&lt;BR /&gt;5 4 5 2 2 5 5 5 5 5 5 5 2 5 5 2 5&lt;BR /&gt;5 4 4 2 4 4 5 5 5 5 5 5 2 5 5 3 4&lt;BR /&gt;2 4 3 2 4 4 3 3 4 3 3 4 4 4 4 3 4&lt;BR /&gt;5 4 5 5 2 5 5 5 5 3 5 5 3 5 5 3 4&lt;BR /&gt;5 4 4 2 2 3 4 4 4 3 4 4 2 4 4 2 4&lt;BR /&gt;5 4 5 4 1 5 5 5 5 4 5 5 4 5 5 2 5&lt;BR /&gt;4 4 4 2 2 4 5 4 5 5 4 5 2 5 5 2 5&lt;BR /&gt;5 4 4 3 3 3 5 3 3 3 3 3 3 3 3 2 5&lt;BR /&gt;3 4 3 3 4 3 4 3 4 3 4 4 3 4 4 3 4&lt;BR /&gt;4 4 4 2 3 4 4 4 4 4 4 4 2 4 4 2 4&lt;BR /&gt;5 4 5 1 1 5 5 5 4 5 5 5 2 5 4 5 5&lt;BR /&gt;5 4 5 4 3 5 5 4 5 5 5 5 2 5 4 3 5&lt;BR /&gt;5 4 4 2 4 4 5 4 4 3 4 4 5 5 5 3 5&lt;BR /&gt;5 4 2 1 3 2 4 4 2 2 5 2 2 5 2 2 2&lt;BR /&gt;4 4 4 2 2 4 4 4 4 4 5 5 1 4 4 1 4&lt;BR /&gt;4 4 4 3 4 4 4 3 4 4 4 4 4 3 3 4 4&lt;BR /&gt;5 4 4 3 2 4 4 4 4 2 4 4 2 4 4 2 4&lt;BR /&gt;5 4 5 2 2 4 4 2 4 4 4 4 2 4 4 3 4&lt;BR /&gt;5 4 5 1 1 2 5 4 2 2 5 5 1 5 4 1 4&lt;BR /&gt;5 4 3 1 4 4 5 4 4 3 4 5 1 5 4 2 5&lt;BR /&gt;5 4 5 1 1 3 5 5 4 5 5 4 3 5 3 3 4&lt;BR /&gt;3 4 4 1 3 5 5 5 5 5 5 5 1 5 5 2 2&lt;BR /&gt;5 4 5 1 1 4 4 4 5 4 4 4 2 5 4 2 4&lt;BR /&gt;5 4 5 1 1 4 4 4 5 4 4 4 2 5 4 2 4&lt;BR /&gt;4 4 4 1 2 4 4 2 4 4 4 4 4 4 4 3 4&lt;BR /&gt;5 4 3 1 4 4 5 5 4 4 4 5 1 4 4 1 5&lt;BR /&gt;4 4 1 1 1 1 4 2 3 2 4 4 3 3 3 2 4&lt;BR /&gt;5 5 2 1 2 4 5 4 5 1 5 5 1 5 5 1 5&lt;BR /&gt;5 5 4 1 4 4 5 5 4 4 5 4 1 5 4 1 4&lt;BR /&gt;4 5 3 1 1 2 5 5 5 5 5 4 1 5 5 1 5&lt;BR /&gt;4 4 3 4 4 4 4 3 4 3 4 3 2 4 4 2 4&lt;BR /&gt;4 5 5 2 5 4 4 4 5 4 5 5 2 5 4 2 5&lt;BR /&gt;1 1 3 2 2 4 3 3 4 4 4 4 3 2 4 3 4&lt;BR /&gt;4 4 4 1 2 4 4 4 4 4 4 4 4 4 2 4 4&lt;BR /&gt;4 4 4 2 2 4 4 2 4 4 4 4 2 4 4 2 2&lt;BR /&gt;3 4 4 2 4 4 5 4 4 4 4 4 2 4 4 2 4&lt;BR /&gt;5 5 4 2 2 4 4 3 5 3 5 4 2 5 4 2 4&lt;BR /&gt;3 3 3 3 3 3 3 2 4 3 2 3 3 3 3 3 3&lt;BR /&gt;4 5 4 1 2 2 5 4 5 5 5 5 2 5 4 2 5&lt;BR /&gt;5 5 5 1 2 4 5 4 5 5 5 5 1 5 5 1 4&lt;BR /&gt;1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1&lt;BR /&gt;4 3 2 2 2 4 2 3 4 4 4 4 2 4 3 4 4&lt;BR /&gt;3 4 3 3 2 4 4 4 4 4 4 4 2 4 4 2 3&lt;BR /&gt;1 1 1 2 2 4 4 4 4 4 4 4 4 4 4 4 4&lt;BR /&gt;3 4 3 2 4 4 4 3 3 4 3 3 2 4 4 3 3&lt;BR /&gt;3 3 3 4 4 4 3 4 4 3 4 4 3 3 3 3 4&lt;BR /&gt;4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4&lt;BR /&gt;3 4 4 2 3 4 4 4 4 4 4 4 2 4 4 2 4&lt;BR /&gt;5 5 5 2 3 4 4 4 4 4 4 4 1 4 4 1 3&lt;BR /&gt;;&lt;BR /&gt;run;&lt;/P&gt;&lt;P&gt;proc print data = mydata;&lt;BR /&gt;run;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&lt;BR /&gt;/* Confirmatory Factor Model */&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;proc calis data=mydata;&lt;BR /&gt;factor&lt;BR /&gt;Factor1 ===&amp;gt; x11 x13 x14 x15 Q17,&lt;BR /&gt;Factor2 ===&amp;gt; x6 x7 x12 x16 x19,&lt;BR /&gt;Factor3 ===&amp;gt; x9 x18 x21,&lt;BR /&gt;Factor4 ===&amp;gt; x19 x20 x22;&lt;BR /&gt;pvar&lt;BR /&gt;Factor1 Factor2 Factor3 Factor4 = 4 * 1.;&lt;BR /&gt;cov&lt;BR /&gt;Factor1 Factor2 Factor3 Factor4 /* = 4 * 0. */;&lt;BR /&gt;run;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;ods graphics on;&lt;BR /&gt;proc calis data=mydata plots=pathdiagram;&lt;BR /&gt;factor&lt;BR /&gt;Factor1 ===&amp;gt; x11 x18 x14 x15 x17 = 1. ,&lt;BR /&gt;Factor2 ===&amp;gt; x6 x7 x12 x16 x19 = 1. ,&lt;BR /&gt;Factor3 ===&amp;gt; x9 Q18 Q21 = 1. ,&lt;BR /&gt;Factor4 ===&amp;gt; x19 x20 x22 = 1. ;&lt;BR /&gt;run;&lt;BR /&gt;ods graphics off;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
    <pubDate>Tue, 18 Oct 2022 19:40:30 GMT</pubDate>
    <dc:creator>abou55</dc:creator>
    <dc:date>2022-10-18T19:40:30Z</dc:date>
    <item>
      <title>Build/conduct a second-order factor Confirmatory Factor Analysis</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Build-conduct-a-second-order-factor-Confirmatory-Factor-Analysis/m-p/839277#M41567</link>
      <description>&lt;P&gt;Dear All:&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Re:&amp;nbsp;Second-Order Confirmatory Factor Analysis&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;I did fit a&amp;nbsp;Confirmatory Factor Analysis with four factors, please see below.&lt;/P&gt;&lt;P&gt;But at least two factors are highly correlated. F1 and F4 (0.92),&amp;nbsp;F2 and F4 (0.82),&amp;nbsp;F1 and F2 (0.67).&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;&amp;nbsp;One thought is to&amp;nbsp;&lt;/SPAN&gt;&lt;SPAN&gt;define a second-order factor that will account for the variability between the highly correlated factors. BUT I do not know how to conduct/build such a model.&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;So I need your help in this part.&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;Thank you very much in advance for your help&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;AbouEl-Makarim Aboueissa, PhD&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;Professor, Mathematics and Statistics&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;University of Southern Maine&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&lt;SPAN&gt;Here is the code I used to conduct a CFA model with four factors and the data set.&lt;/SPAN&gt;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;data mydata;&lt;BR /&gt;input x6 x7 x8 x9 x10 x11 x12 x13 x14 x15 x16 x17 x18 x19 x20 x21 x22;&lt;BR /&gt;datalines;&lt;BR /&gt;5 4 2 1 4 4 5 5 5 5 5 5 2 5 5 1 4&lt;BR /&gt;4 4 3 2 4 5 5 4 5 4 5 4 2 5 5 1 4&lt;BR /&gt;4 4 4 2 3 4 4 4 4 4 4 4 2 4 4 2 4&lt;BR /&gt;4 4 4 2 3 4 4 4 4 4 4 4 2 4 4 2 4&lt;BR /&gt;5 5 5 1 5 3 5 3 4 4 5 4 1 5 5 2 4&lt;BR /&gt;3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3&lt;BR /&gt;3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3&lt;BR /&gt;3 2 4 2 4 3 3 4 4 4 4 4 1 4 4 2 2&lt;BR /&gt;3 4 5 2 2 4 3 4 4 4 4 5 2 3 4 2 3&lt;BR /&gt;4 4 5 2 3 5 5 3 4 3 5 3 2 5 4 3 5&lt;BR /&gt;4 4 3 1 2 4 5 4 4 3 5 5 2 5 4 3 4&lt;BR /&gt;5 4 5 1 1 5 5 5 5 5 5 3 3 5 3 3 5&lt;BR /&gt;3 4 4 2 4 4 4 3 4 4 4 4 4 4 2 2 2&lt;BR /&gt;3 4 4 2 2 4 4 2 5 2 4 4 2 4 4 3 4&lt;BR /&gt;3 4 4 3 3 3 3 3 3 3 4 4 2 3 3 3 3&lt;BR /&gt;4 5 5 1 3 4 5 4 5 4 4 4 2 4 4 3 4&lt;BR /&gt;5 5 5 2 3 5 5 3 4 5 5 2 1 5 5 1 4&lt;BR /&gt;4 4 4 2 2 4 4 3 4 4 4 4 2 5 4 2 5&lt;BR /&gt;4 5 4 1 1 3 4 3 5 4 3 4 2 4 4 2 4&lt;BR /&gt;5 4 3 1 2 3 4 4 4 3 4 3 2 4 4 2 4&lt;BR /&gt;4 4 4 2 1 4 4 4 4 4 4 3 1 5 4 1 5&lt;BR /&gt;5 5 3 1 3 5 5 3 5 4 4 4 1 5 5 1 5&lt;BR /&gt;4 5 5 2 3 4 5 5 5 5 5 5 1 5 5 3 5&lt;BR /&gt;4 5 4 2 3 5 5 5 5 5 5 5 1 5 5 2 5&lt;BR /&gt;5 5 4 1 3 4 5 5 5 5 5 5 1 5 5 1 4&lt;BR /&gt;5 5 4 2 4 5 5 5 5 4 5 5 1 5 5 2 5&lt;BR /&gt;5 5 5 1 3 4 5 5 5 4 5 5 1 5 5 1 5&lt;BR /&gt;4 4 3 2 4 4 4 4 4 3 4 4 2 4 4 1 5&lt;BR /&gt;4 5 5 1 2 4 5 3 5 5 4 4 1 5 4 3 4&lt;BR /&gt;3 4 5 1 4 5 3 3 5 4 4 5 2 5 4 1 4&lt;BR /&gt;3 4 4 2 1 4 4 4 4 3 4 4 2 4 4 2 3&lt;BR /&gt;4 4 3 1 3 4 5 3 5 4 4 3 4 5 5 3 5&lt;BR /&gt;4 4 4 2 2 4 3 3 4 4 3 3 4 3 4 3 3&lt;BR /&gt;5 5 5 1 1 5 5 5 5 5 5 5 1 5 5 1 5&lt;BR /&gt;4 4 4 1 3 4 4 4 4 4 4 4 1 4 4 1 4&lt;BR /&gt;5 5 3 1 2 4 5 5 5 5 5 5 2 5 5 1 5&lt;BR /&gt;4 4 4 2 4 5 4 4 5 4 4 5 2 5 5 2 5&lt;BR /&gt;3 5 3 1 1 1 5 5 3 3 4 3 3 4 3 1 3&lt;BR /&gt;5 5 4 1 3 4 5 4 5 4 5 4 1 5 5 1 4&lt;BR /&gt;5 5 5 2 2 4 5 3 4 4 5 4 2 4 4 3 3&lt;BR /&gt;4 4 1 1 4 3 4 3 4 3 4 5 1 3 3 2 2&lt;BR /&gt;5 4 3 1 5 4 5 3 3 3 4 4 1 4 5 1 4&lt;BR /&gt;5 5 2 1 2 4 5 5 2 4 5 4 2 4 4 2 2&lt;BR /&gt;4 4 5 2 4 5 4 5 5 4 5 4 4 5 4 3 5&lt;BR /&gt;4 4 4 1 1 5 5 5 4 4 5 4 2 5 5 1 3&lt;BR /&gt;5 5 2 1 4 2 5 2 4 4 4 5 1 4 4 1 4&lt;BR /&gt;5 5 4 2 2 2 5 2 5 5 5 5 2 5 4 4 4&lt;BR /&gt;5 4 3 1 4 4 5 3 4 4 5 5 1 5 5 1 4&lt;BR /&gt;4 5 5 4 2 4 4 4 4 4 4 4 2 4 4 2 4&lt;BR /&gt;3 5 4 2 3 4 5 5 5 5 5 5 1 5 5 2 1&lt;BR /&gt;3 4 4 2 2 3 4 4 5 4 5 4 2 5 5 3 4&lt;BR /&gt;5 5 4 1 3 4 5 3 4 2 4 4 1 5 4 1 4&lt;BR /&gt;4 4 4 1 5 4 4 4 4 4 3 3 2 4 4 2 4&lt;BR /&gt;3 5 3 4 3 3 4 3 4 3 5 4 3 5 5 3 4&lt;BR /&gt;2 4 4 2 4 4 4 4 4 4 4 4 2 4 4 2 4&lt;BR /&gt;1 3 1 1 2 4 4 2 4 5 3 5 2 3 4 1 5&lt;BR /&gt;1 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3 3&lt;BR /&gt;4 5 5 2 2 4 5 4 5 5 4 5 2 4 5 1 4&lt;BR /&gt;4 5 4 1 3 4 5 4 4 4 4 5 1 5 4 1 3&lt;BR /&gt;5 4 4 2 4 3 4 4 4 3 4 4 2 4 4 1 4&lt;BR /&gt;4 4 4 1 4 4 4 4 4 3 4 4 3 4 4 1 3&lt;BR /&gt;4 2 2 1 4 4 4 4 4 4 4 4 4 4 4 4 4&lt;BR /&gt;4 4 4 2 2 4 4 2 4 2 4 4 2 4 4 2 4&lt;BR /&gt;3 5 2 2 4 4 4 3 4 2 4 4 2 4 4 2 2&lt;BR /&gt;4 4 5 2 3 5 5 4 4 4 4 3 4 4 4 3 3&lt;BR /&gt;5 4 4 2 3 4 5 4 4 4 4 4 2 5 4 2 4&lt;BR /&gt;4 4 4 2 2 3 4 4 4 4 4 4 2 4 4 2 4&lt;BR /&gt;3 4 4 2 2 4 3 3 4 4 4 4 2 4 4 2 4&lt;BR /&gt;2 4 2 2 2 2 2 2 3 3 3 3 2 4 4 3 4&lt;BR /&gt;4 4 3 2 4 4 4 4 4 3 4 4 2 4 4 2 4&lt;BR /&gt;4 4 4 1 4 5 5 5 5 3 5 5 2 5 4 1 5&lt;BR /&gt;2 4 2 1 2 4 5 3 4 3 5 5 2 4 4 1 5&lt;BR /&gt;5 4 4 1 3 4 4 4 4 2 4 5 1 5 5 1 2&lt;BR /&gt;5 4 3 2 3 4 4 4 4 4 4 4 2 4 3 2 4&lt;BR /&gt;4 4 4 2 2 3 3 3 4 2 3 4 3 3 3 2 2&lt;BR /&gt;4 4 4 2 2 4 4 3 4 4 4 4 2 4 4 3 4&lt;BR /&gt;5 4 1 1 1 5 5 5 5 5 5 5 5 5 5 1 5&lt;BR /&gt;4 4 4 2 2 5 5 5 4 4 5 4 2 5 4 4 4&lt;BR /&gt;4 4 3 2 3 4 4 3 4 4 4 3 3 3 3 3 4&lt;BR /&gt;5 4 5 2 2 5 5 5 5 2 5 5 2 5 5 2 5&lt;BR /&gt;5 4 5 1 5 3 5 5 5 2 5 5 1 5 5 1 5&lt;BR /&gt;5 4 5 1 3 4 5 5 5 4 5 5 1 5 4 2 4&lt;BR /&gt;4 4 4 1 4 2 4 4 4 4 4 4 1 4 3 1 4&lt;BR /&gt;3 4 4 1 3 4 4 3 4 3 4 4 2 4 3 2 3&lt;BR /&gt;4 4 4 2 2 3 4 4 4 4 4 4 2 3 4 2 4&lt;BR /&gt;5 4 5 1 2 4 5 5 4 4 5 4 1 5 5 1 4&lt;BR /&gt;3 4 4 2 2 4 4 3 4 4 3 4 2 4 4 2 1&lt;BR /&gt;5 4 5 2 2 5 5 5 5 5 5 5 2 5 5 2 5&lt;BR /&gt;5 4 4 2 4 4 5 5 5 5 5 5 2 5 5 3 4&lt;BR /&gt;2 4 3 2 4 4 3 3 4 3 3 4 4 4 4 3 4&lt;BR /&gt;5 4 5 5 2 5 5 5 5 3 5 5 3 5 5 3 4&lt;BR /&gt;5 4 4 2 2 3 4 4 4 3 4 4 2 4 4 2 4&lt;BR /&gt;5 4 5 4 1 5 5 5 5 4 5 5 4 5 5 2 5&lt;BR /&gt;4 4 4 2 2 4 5 4 5 5 4 5 2 5 5 2 5&lt;BR /&gt;5 4 4 3 3 3 5 3 3 3 3 3 3 3 3 2 5&lt;BR /&gt;3 4 3 3 4 3 4 3 4 3 4 4 3 4 4 3 4&lt;BR /&gt;4 4 4 2 3 4 4 4 4 4 4 4 2 4 4 2 4&lt;BR /&gt;5 4 5 1 1 5 5 5 4 5 5 5 2 5 4 5 5&lt;BR /&gt;5 4 5 4 3 5 5 4 5 5 5 5 2 5 4 3 5&lt;BR /&gt;5 4 4 2 4 4 5 4 4 3 4 4 5 5 5 3 5&lt;BR /&gt;5 4 2 1 3 2 4 4 2 2 5 2 2 5 2 2 2&lt;BR /&gt;4 4 4 2 2 4 4 4 4 4 5 5 1 4 4 1 4&lt;BR /&gt;4 4 4 3 4 4 4 3 4 4 4 4 4 3 3 4 4&lt;BR /&gt;5 4 4 3 2 4 4 4 4 2 4 4 2 4 4 2 4&lt;BR /&gt;5 4 5 2 2 4 4 2 4 4 4 4 2 4 4 3 4&lt;BR /&gt;5 4 5 1 1 2 5 4 2 2 5 5 1 5 4 1 4&lt;BR /&gt;5 4 3 1 4 4 5 4 4 3 4 5 1 5 4 2 5&lt;BR /&gt;5 4 5 1 1 3 5 5 4 5 5 4 3 5 3 3 4&lt;BR /&gt;3 4 4 1 3 5 5 5 5 5 5 5 1 5 5 2 2&lt;BR /&gt;5 4 5 1 1 4 4 4 5 4 4 4 2 5 4 2 4&lt;BR /&gt;5 4 5 1 1 4 4 4 5 4 4 4 2 5 4 2 4&lt;BR /&gt;4 4 4 1 2 4 4 2 4 4 4 4 4 4 4 3 4&lt;BR /&gt;5 4 3 1 4 4 5 5 4 4 4 5 1 4 4 1 5&lt;BR /&gt;4 4 1 1 1 1 4 2 3 2 4 4 3 3 3 2 4&lt;BR /&gt;5 5 2 1 2 4 5 4 5 1 5 5 1 5 5 1 5&lt;BR /&gt;5 5 4 1 4 4 5 5 4 4 5 4 1 5 4 1 4&lt;BR /&gt;4 5 3 1 1 2 5 5 5 5 5 4 1 5 5 1 5&lt;BR /&gt;4 4 3 4 4 4 4 3 4 3 4 3 2 4 4 2 4&lt;BR /&gt;4 5 5 2 5 4 4 4 5 4 5 5 2 5 4 2 5&lt;BR /&gt;1 1 3 2 2 4 3 3 4 4 4 4 3 2 4 3 4&lt;BR /&gt;4 4 4 1 2 4 4 4 4 4 4 4 4 4 2 4 4&lt;BR /&gt;4 4 4 2 2 4 4 2 4 4 4 4 2 4 4 2 2&lt;BR /&gt;3 4 4 2 4 4 5 4 4 4 4 4 2 4 4 2 4&lt;BR /&gt;5 5 4 2 2 4 4 3 5 3 5 4 2 5 4 2 4&lt;BR /&gt;3 3 3 3 3 3 3 2 4 3 2 3 3 3 3 3 3&lt;BR /&gt;4 5 4 1 2 2 5 4 5 5 5 5 2 5 4 2 5&lt;BR /&gt;5 5 5 1 2 4 5 4 5 5 5 5 1 5 5 1 4&lt;BR /&gt;1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1&lt;BR /&gt;4 3 2 2 2 4 2 3 4 4 4 4 2 4 3 4 4&lt;BR /&gt;3 4 3 3 2 4 4 4 4 4 4 4 2 4 4 2 3&lt;BR /&gt;1 1 1 2 2 4 4 4 4 4 4 4 4 4 4 4 4&lt;BR /&gt;3 4 3 2 4 4 4 3 3 4 3 3 2 4 4 3 3&lt;BR /&gt;3 3 3 4 4 4 3 4 4 3 4 4 3 3 3 3 4&lt;BR /&gt;4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4 4&lt;BR /&gt;3 4 4 2 3 4 4 4 4 4 4 4 2 4 4 2 4&lt;BR /&gt;5 5 5 2 3 4 4 4 4 4 4 4 1 4 4 1 3&lt;BR /&gt;;&lt;BR /&gt;run;&lt;/P&gt;&lt;P&gt;proc print data = mydata;&lt;BR /&gt;run;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&lt;BR /&gt;/* Confirmatory Factor Model */&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;proc calis data=mydata;&lt;BR /&gt;factor&lt;BR /&gt;Factor1 ===&amp;gt; x11 x13 x14 x15 Q17,&lt;BR /&gt;Factor2 ===&amp;gt; x6 x7 x12 x16 x19,&lt;BR /&gt;Factor3 ===&amp;gt; x9 x18 x21,&lt;BR /&gt;Factor4 ===&amp;gt; x19 x20 x22;&lt;BR /&gt;pvar&lt;BR /&gt;Factor1 Factor2 Factor3 Factor4 = 4 * 1.;&lt;BR /&gt;cov&lt;BR /&gt;Factor1 Factor2 Factor3 Factor4 /* = 4 * 0. */;&lt;BR /&gt;run;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;ods graphics on;&lt;BR /&gt;proc calis data=mydata plots=pathdiagram;&lt;BR /&gt;factor&lt;BR /&gt;Factor1 ===&amp;gt; x11 x18 x14 x15 x17 = 1. ,&lt;BR /&gt;Factor2 ===&amp;gt; x6 x7 x12 x16 x19 = 1. ,&lt;BR /&gt;Factor3 ===&amp;gt; x9 Q18 Q21 = 1. ,&lt;BR /&gt;Factor4 ===&amp;gt; x19 x20 x22 = 1. ;&lt;BR /&gt;run;&lt;BR /&gt;ods graphics off;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Tue, 18 Oct 2022 19:40:30 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Build-conduct-a-second-order-factor-Confirmatory-Factor-Analysis/m-p/839277#M41567</guid>
      <dc:creator>abou55</dc:creator>
      <dc:date>2022-10-18T19:40:30Z</dc:date>
    </item>
    <item>
      <title>Re: Build/conduct a second-order factor Confirmatory Factor Analysis</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Build-conduct-a-second-order-factor-Confirmatory-Factor-Analysis/m-p/839280#M41568</link>
      <description>&lt;P&gt;A second order confirmatory factor analysis example:&lt;/P&gt;
&lt;P&gt;&lt;A href="https://documentation.sas.com/doc/en/pgmsascdc/9.4_3.4/statug/statug_calis_examples77.htm" target="_blank"&gt;https://documentation.sas.com/doc/en/pgmsascdc/9.4_3.4/statug/statug_calis_examples77.htm&lt;/A&gt;&lt;/P&gt;</description>
      <pubDate>Tue, 18 Oct 2022 19:44:03 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Build-conduct-a-second-order-factor-Confirmatory-Factor-Analysis/m-p/839280#M41568</guid>
      <dc:creator>PaigeMiller</dc:creator>
      <dc:date>2022-10-18T19:44:03Z</dc:date>
    </item>
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