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    <title>topic Proc Calis and zeromodel in Statistical Procedures</title>
    <link>https://communities.sas.com/t5/Statistical-Procedures/Zero-Inflated-Models-in-proc-calis/m-p/627524#M30175</link>
    <description>&lt;P&gt;I am struggling to find a way to run a factor analysis on my data in SAS. I have multiple constructs and several covariates that I would like to put into a structural model with an observed outcome that is zero-inflated. The outcome is a composite of three observed behaviors with success measured as a percentage of total occurrences for each. The composite variable ranges from 0 to 300 with half the values being zero. I cannot transform the data to achieve normality in this case do to the nature of the distribution.&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;I see nothing in the documentation for proc calis discussing link functions or zeromodels. Does anyone have a suggestion for how to approach this analysis?&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Thank you.&amp;nbsp;&amp;nbsp;&lt;/P&gt;</description>
    <pubDate>Wed, 26 Feb 2020 14:58:41 GMT</pubDate>
    <dc:creator>DocChinnerson</dc:creator>
    <dc:date>2020-02-26T14:58:41Z</dc:date>
    <item>
      <title>Zero-Inflated Models in proc calis</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Zero-Inflated-Models-in-proc-calis/m-p/627519#M30173</link>
      <description>&lt;P&gt;I am struggling to find a way to run a factor analysis on my data in SAS. I have multiple constructs and several covariates that I would like to put into a structural model with an observed outcome that is zero-inflated. The outcome is a composite of three observed behaviors with success measured as a percentage of total occurrences for each. The composite variable ranges from 0 to 300 with half the values being zero. I cannot transform the data to achieve normality in this case do to the nature of the distribution.&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;I see nothing in the documentation for proc calis discussing link functions or zeromodels. Does anyone have a suggestion for how to approach this analysis?&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Thank you.&amp;nbsp;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Wed, 26 Feb 2020 14:57:44 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Zero-Inflated-Models-in-proc-calis/m-p/627519#M30173</guid>
      <dc:creator>DocChinnerson</dc:creator>
      <dc:date>2020-02-26T14:57:44Z</dc:date>
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    <item>
      <title>Proc Calis and zeromodel</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Zero-Inflated-Models-in-proc-calis/m-p/627524#M30175</link>
      <description>&lt;P&gt;I am struggling to find a way to run a factor analysis on my data in SAS. I have multiple constructs and several covariates that I would like to put into a structural model with an observed outcome that is zero-inflated. The outcome is a composite of three observed behaviors with success measured as a percentage of total occurrences for each. The composite variable ranges from 0 to 300 with half the values being zero. I cannot transform the data to achieve normality in this case do to the nature of the distribution.&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;I see nothing in the documentation for proc calis discussing link functions or zeromodels. Does anyone have a suggestion for how to approach this analysis?&amp;nbsp;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;P&gt;Thank you.&amp;nbsp;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Wed, 26 Feb 2020 14:58:41 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Zero-Inflated-Models-in-proc-calis/m-p/627524#M30175</guid>
      <dc:creator>DocChinnerson</dc:creator>
      <dc:date>2020-02-26T14:58:41Z</dc:date>
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