<?xml version="1.0" encoding="UTF-8"?>
<rss xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:taxo="http://purl.org/rss/1.0/modules/taxonomy/" version="2.0">
  <channel>
    <title>topic Longitudinal data analysis using proc calis in Statistical Procedures</title>
    <link>https://communities.sas.com/t5/Statistical-Procedures/Longitudinal-data-analysis-using-proc-calis/m-p/808943#M39810</link>
    <description>&lt;P&gt;I need to perform a longitudinal path analysis among 7 variables that were collected at ten different time points (70 variables +covariates in a wide format). The path diagram is as follows: &lt;/P&gt;
&lt;P&gt;&lt;span class="lia-inline-image-display-wrapper lia-image-align-inline" image-alt="Screen Shot 2022-04-20 at 5.32.17 PM.png" style="width: 200px;"&gt;&lt;img src="https://communities.sas.com/t5/image/serverpage/image-id/70655i6F221D06913B332F/image-size/small?v=v2&amp;amp;px=200" role="button" title="Screen Shot 2022-04-20 at 5.32.17 PM.png" alt="Screen Shot 2022-04-20 at 5.32.17 PM.png" /&gt;&lt;/span&gt;&lt;/P&gt;
&lt;P&gt;I like to do something similar like the following image extracted from the video 'The SEM Approach to Longitudinal Data Analysis Using the CALIS Procedure': &lt;/P&gt;
&lt;P&gt;&lt;span class="lia-inline-image-display-wrapper lia-image-align-inline" image-alt="Screen Shot 2022-04-20 at 5.23.38 PM.png" style="width: 324px;"&gt;&lt;img src="https://communities.sas.com/t5/image/serverpage/image-id/70656i9ABC6A8DDBAE9244/image-dimensions/324x169?v=v2" width="324" height="169" role="button" title="Screen Shot 2022-04-20 at 5.23.38 PM.png" alt="Screen Shot 2022-04-20 at 5.23.38 PM.png" /&gt;&lt;/span&gt;&lt;/P&gt;
&lt;P&gt;In above picture, anxiety is the outcome variable. My question is: If I were to fit a linear latent curve model using proc calis, where would I provide all my predictor variables?&lt;/P&gt;
&lt;P&gt;Thanks!&lt;/P&gt;</description>
    <pubDate>Wed, 20 Apr 2022 22:40:02 GMT</pubDate>
    <dc:creator>Sudeep_Neupane</dc:creator>
    <dc:date>2022-04-20T22:40:02Z</dc:date>
    <item>
      <title>Longitudinal data analysis using proc calis</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Longitudinal-data-analysis-using-proc-calis/m-p/808943#M39810</link>
      <description>&lt;P&gt;I need to perform a longitudinal path analysis among 7 variables that were collected at ten different time points (70 variables +covariates in a wide format). The path diagram is as follows: &lt;/P&gt;
&lt;P&gt;&lt;span class="lia-inline-image-display-wrapper lia-image-align-inline" image-alt="Screen Shot 2022-04-20 at 5.32.17 PM.png" style="width: 200px;"&gt;&lt;img src="https://communities.sas.com/t5/image/serverpage/image-id/70655i6F221D06913B332F/image-size/small?v=v2&amp;amp;px=200" role="button" title="Screen Shot 2022-04-20 at 5.32.17 PM.png" alt="Screen Shot 2022-04-20 at 5.32.17 PM.png" /&gt;&lt;/span&gt;&lt;/P&gt;
&lt;P&gt;I like to do something similar like the following image extracted from the video 'The SEM Approach to Longitudinal Data Analysis Using the CALIS Procedure': &lt;/P&gt;
&lt;P&gt;&lt;span class="lia-inline-image-display-wrapper lia-image-align-inline" image-alt="Screen Shot 2022-04-20 at 5.23.38 PM.png" style="width: 324px;"&gt;&lt;img src="https://communities.sas.com/t5/image/serverpage/image-id/70656i9ABC6A8DDBAE9244/image-dimensions/324x169?v=v2" width="324" height="169" role="button" title="Screen Shot 2022-04-20 at 5.23.38 PM.png" alt="Screen Shot 2022-04-20 at 5.23.38 PM.png" /&gt;&lt;/span&gt;&lt;/P&gt;
&lt;P&gt;In above picture, anxiety is the outcome variable. My question is: If I were to fit a linear latent curve model using proc calis, where would I provide all my predictor variables?&lt;/P&gt;
&lt;P&gt;Thanks!&lt;/P&gt;</description>
      <pubDate>Wed, 20 Apr 2022 22:40:02 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Longitudinal-data-analysis-using-proc-calis/m-p/808943#M39810</guid>
      <dc:creator>Sudeep_Neupane</dc:creator>
      <dc:date>2022-04-20T22:40:02Z</dc:date>
    </item>
    <item>
      <title>Re: Longitudinal data analysis using proc calis</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Longitudinal-data-analysis-using-proc-calis/m-p/808975#M39811</link>
      <description>&lt;P&gt;Hello,&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;I have moved this post to 'Statistical Procedures' board.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Koen&lt;/P&gt;</description>
      <pubDate>Thu, 21 Apr 2022 08:35:12 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Longitudinal-data-analysis-using-proc-calis/m-p/808975#M39811</guid>
      <dc:creator>sbxkoenk</dc:creator>
      <dc:date>2022-04-21T08:35:12Z</dc:date>
    </item>
    <item>
      <title>Re: Longitudinal data analysis using proc calis</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Longitudinal-data-analysis-using-proc-calis/m-p/808976#M39812</link>
      <description>&lt;P&gt;Hello&amp;nbsp;&lt;a href="https://communities.sas.com/t5/user/viewprofilepage/user-id/408621"&gt;@Sudeep_Neupane&lt;/a&gt;&amp;nbsp;,&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Have you seen :&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;SAS Global Forum proceedings 2015 -- Paper SAS1745-2015&lt;BR /&gt;The SEM Approach to Longitudinal Data Analysis Using the CALIS Procedure&lt;BR /&gt;Xinming An and Yiu-Fai Yung, SAS Institute Inc.&lt;BR /&gt;Qing Yang, Duke University&lt;BR /&gt;&lt;A href="https://support.sas.com/resources/papers/proceedings15/SAS1745-2015.pdf" target="_blank" rel="noopener"&gt;https://support.sas.com/resources/papers/proceedings15/SAS1745-2015.pdf&lt;/A&gt;&lt;/P&gt;
&lt;P&gt;?&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;The paper covers basic latent curve models!&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Thanks,&lt;/P&gt;
&lt;P&gt;Koen&lt;/P&gt;</description>
      <pubDate>Thu, 21 Apr 2022 08:38:17 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Longitudinal-data-analysis-using-proc-calis/m-p/808976#M39812</guid>
      <dc:creator>sbxkoenk</dc:creator>
      <dc:date>2022-04-21T08:38:17Z</dc:date>
    </item>
    <item>
      <title>Re: Longitudinal data analysis using proc calis</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Longitudinal-data-analysis-using-proc-calis/m-p/809386#M39826</link>
      <description>Hello, Mr. Koen, &lt;BR /&gt;Thank you very much for pointing that out to me. The screenshot of the above code is extracted from the specific paper that you have mentioned here. I tried to reach one of the authors via LinkedIn too, however, I haven't heard back. Apparently, there are not many resources on path analysis + longitudinal data that I know of. I am basically stuck in two concepts: 1) How do I define paths if I include all the individual variable at one specific time point in the lineqs statement? OR, 2) How do I define "time" if I transform wide data into long format into the path statement.</description>
      <pubDate>Fri, 22 Apr 2022 20:28:59 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Longitudinal-data-analysis-using-proc-calis/m-p/809386#M39826</guid>
      <dc:creator>Sudeep_Neupane</dc:creator>
      <dc:date>2022-04-22T20:28:59Z</dc:date>
    </item>
    <item>
      <title>Re: Longitudinal data analysis using proc calis</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Longitudinal-data-analysis-using-proc-calis/m-p/809388#M39827</link>
      <description>Thank you, Mr. Koen!</description>
      <pubDate>Fri, 22 Apr 2022 20:29:30 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Longitudinal-data-analysis-using-proc-calis/m-p/809388#M39827</guid>
      <dc:creator>Sudeep_Neupane</dc:creator>
      <dc:date>2022-04-22T20:29:30Z</dc:date>
    </item>
    <item>
      <title>Re: Longitudinal data analysis using proc calis</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Longitudinal-data-analysis-using-proc-calis/m-p/809449#M39829</link>
      <description>&lt;P&gt;Hello&amp;nbsp;&lt;a href="https://communities.sas.com/t5/user/viewprofilepage/user-id/408621"&gt;@Sudeep_Neupane&lt;/a&gt;&amp;nbsp;,&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;I have sent a SAS-internal mail to&amp;nbsp;Yiu-Fai Yung.&lt;/P&gt;
&lt;P&gt;I think&amp;nbsp;Xinming An no longer works at SAS (?).&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Let's see if he responds.&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;Have a nice weekend,&lt;/P&gt;
&lt;P&gt;Koen&lt;/P&gt;</description>
      <pubDate>Sat, 23 Apr 2022 15:39:42 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Longitudinal-data-analysis-using-proc-calis/m-p/809449#M39829</guid>
      <dc:creator>sbxkoenk</dc:creator>
      <dc:date>2022-04-23T15:39:42Z</dc:date>
    </item>
    <item>
      <title>Re: Longitudinal data analysis using proc calis</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Longitudinal-data-analysis-using-proc-calis/m-p/809783#M39837</link>
      <description>Thank you very much, Mr. Koen! Jill Tao, a senior SAS statistician has reached out to me today. I really appreciate your help.</description>
      <pubDate>Mon, 25 Apr 2022 21:50:02 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Longitudinal-data-analysis-using-proc-calis/m-p/809783#M39837</guid>
      <dc:creator>Sudeep_Neupane</dc:creator>
      <dc:date>2022-04-25T21:50:02Z</dc:date>
    </item>
  </channel>
</rss>

