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    <title>topic Covariance Among latent Variables in Statistical Procedures</title>
    <link>https://communities.sas.com/t5/Statistical-Procedures/Covariance-Among-latent-Variables/m-p/171732#M8920</link>
    <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P style="margin: 0 0 1em; font-size: 15px; color: #333333; font-family: 'Helvetica Neue', Helvetica, Arial, sans-serif; background-color: rgba(252, 251, 248, 0.901961);"&gt;In many of the sem examples, we have noticed that covariances are specified between latent variables.&lt;/P&gt;&lt;P style="margin: 0 0 1em; font-size: 15px; color: #333333; font-family: 'Helvetica Neue', Helvetica, Arial, sans-serif; background-color: rgba(252, 251, 248, 0.901961);"&gt;My Questions are:&lt;/P&gt;&lt;P style="margin: 0 0 1em; font-size: 15px; color: #333333; font-family: 'Helvetica Neue', Helvetica, Arial, sans-serif; background-color: rgba(252, 251, 248, 0.901961);"&gt;1) What's the advantage(s) of specifying covariance in sem model? 2) If there's high covariance within 2 variables, does it affect the direct effect? 3) If there's high covariance within 2 variables, does it affect the indirect effect?&lt;BR /&gt;4) Lastly, is there any literature specifically explaining the use of covariance in sem models.&lt;/P&gt;&lt;P style="margin: 0 0 1em; font-size: 15px; color: #333333; font-family: 'Helvetica Neue', Helvetica, Arial, sans-serif; background-color: rgba(252, 251, 248, 0.901961);"&gt;Thanks!&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
    <pubDate>Wed, 07 Jan 2015 10:41:05 GMT</pubDate>
    <dc:creator>newbie_ari</dc:creator>
    <dc:date>2015-01-07T10:41:05Z</dc:date>
    <item>
      <title>Covariance Among latent Variables</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Covariance-Among-latent-Variables/m-p/171732#M8920</link>
      <description>&lt;HTML&gt;&lt;HEAD&gt;&lt;/HEAD&gt;&lt;BODY&gt;&lt;P style="margin: 0 0 1em; font-size: 15px; color: #333333; font-family: 'Helvetica Neue', Helvetica, Arial, sans-serif; background-color: rgba(252, 251, 248, 0.901961);"&gt;In many of the sem examples, we have noticed that covariances are specified between latent variables.&lt;/P&gt;&lt;P style="margin: 0 0 1em; font-size: 15px; color: #333333; font-family: 'Helvetica Neue', Helvetica, Arial, sans-serif; background-color: rgba(252, 251, 248, 0.901961);"&gt;My Questions are:&lt;/P&gt;&lt;P style="margin: 0 0 1em; font-size: 15px; color: #333333; font-family: 'Helvetica Neue', Helvetica, Arial, sans-serif; background-color: rgba(252, 251, 248, 0.901961);"&gt;1) What's the advantage(s) of specifying covariance in sem model? 2) If there's high covariance within 2 variables, does it affect the direct effect? 3) If there's high covariance within 2 variables, does it affect the indirect effect?&lt;BR /&gt;4) Lastly, is there any literature specifically explaining the use of covariance in sem models.&lt;/P&gt;&lt;P style="margin: 0 0 1em; font-size: 15px; color: #333333; font-family: 'Helvetica Neue', Helvetica, Arial, sans-serif; background-color: rgba(252, 251, 248, 0.901961);"&gt;Thanks!&lt;/P&gt;&lt;/BODY&gt;&lt;/HTML&gt;</description>
      <pubDate>Wed, 07 Jan 2015 10:41:05 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Covariance-Among-latent-Variables/m-p/171732#M8920</guid>
      <dc:creator>newbie_ari</dc:creator>
      <dc:date>2015-01-07T10:41:05Z</dc:date>
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