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    <title>topic Re: Significant Levene's Test for Homogeneity in Statistical Procedures</title>
    <link>https://communities.sas.com/t5/Statistical-Procedures/Significant-Levene-s-Test-for-Homogeneity/m-p/730518#M35428</link>
    <description>&lt;P&gt;First, check your data for outliers. Otherwise, the Wilcoxon test provided in proc NPAR1WAY is a good alternative.&lt;/P&gt;</description>
    <pubDate>Wed, 31 Mar 2021 21:05:22 GMT</pubDate>
    <dc:creator>PGStats</dc:creator>
    <dc:date>2021-03-31T21:05:22Z</dc:date>
    <item>
      <title>Significant Levene's Test for Homogeneity</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Significant-Levene-s-Test-for-Homogeneity/m-p/730512#M35426</link>
      <description>&lt;P&gt;I have a dataset where I want to see if the time of the day (divided into categories of 4 hour intervals) has an effect/makes a difference in the length of stay of visitors. I thought to use one way ANOVA, however, when running the Levene's Test for homogeneity, I got a significant p-value which doesn't meet my assumption of equal variance. Any suggestions of what is the best test to use in this case? Thanks in advance!&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Wed, 31 Mar 2021 20:55:26 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Significant-Levene-s-Test-for-Homogeneity/m-p/730512#M35426</guid>
      <dc:creator>Yughaber</dc:creator>
      <dc:date>2021-03-31T20:55:26Z</dc:date>
    </item>
    <item>
      <title>Re: Significant Levene's Test for Homogeneity</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Significant-Levene-s-Test-for-Homogeneity/m-p/730518#M35428</link>
      <description>&lt;P&gt;First, check your data for outliers. Otherwise, the Wilcoxon test provided in proc NPAR1WAY is a good alternative.&lt;/P&gt;</description>
      <pubDate>Wed, 31 Mar 2021 21:05:22 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Significant-Levene-s-Test-for-Homogeneity/m-p/730518#M35428</guid>
      <dc:creator>PGStats</dc:creator>
      <dc:date>2021-03-31T21:05:22Z</dc:date>
    </item>
    <item>
      <title>Re: Significant Levene's Test for Homogeneity</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Significant-Levene-s-Test-for-Homogeneity/m-p/730520#M35429</link>
      <description>&lt;P&gt;You might also consider using PROC MIXED. PROC MIXED allows you to model the unequal variances. For example,&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;P&gt;proc mixed;&lt;/P&gt;
&lt;P&gt;&amp;nbsp; &amp;nbsp;class hour;&lt;/P&gt;
&lt;P&gt;&amp;nbsp; &amp;nbsp;model y=hour;&lt;/P&gt;
&lt;P&gt;&amp;nbsp; &amp;nbsp;repeated / group=hour;&lt;/P&gt;
&lt;P&gt;run;&lt;/P&gt;
&lt;P&gt;This program estimates different variances in y for different groups in HOUR, and the inferences would take into account different variance estimates.&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Wed, 31 Mar 2021 21:11:50 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Significant-Levene-s-Test-for-Homogeneity/m-p/730520#M35429</guid>
      <dc:creator>jiltao</dc:creator>
      <dc:date>2021-03-31T21:11:50Z</dc:date>
    </item>
    <item>
      <title>Re: Significant Levene's Test for Homogeneity</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Significant-Levene-s-Test-for-Homogeneity/m-p/730525#M35431</link>
      <description>take out outliers if there are any?</description>
      <pubDate>Wed, 31 Mar 2021 21:22:58 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Significant-Levene-s-Test-for-Homogeneity/m-p/730525#M35431</guid>
      <dc:creator>Yughaber</dc:creator>
      <dc:date>2021-03-31T21:22:58Z</dc:date>
    </item>
    <item>
      <title>Re: Significant Levene's Test for Homogeneity</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Significant-Levene-s-Test-for-Homogeneity/m-p/730526#M35432</link>
      <description>this will only explain the variance right? I can't go further with proving any significant differences between the different time stamped visitor stays</description>
      <pubDate>Wed, 31 Mar 2021 21:32:24 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Significant-Levene-s-Test-for-Homogeneity/m-p/730526#M35432</guid>
      <dc:creator>Yughaber</dc:creator>
      <dc:date>2021-03-31T21:32:24Z</dc:date>
    </item>
    <item>
      <title>Re: Significant Levene's Test for Homogeneity</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Significant-Levene-s-Test-for-Homogeneity/m-p/730527#M35433</link>
      <description>&lt;P&gt;Take out outliers if they are truly aberrant (i.e. measurement errors or measurements outside the scope of your study). But don't throw them out just for the sake of running a parametric test. Use a robust test like the one I suggested instead.&lt;/P&gt;</description>
      <pubDate>Wed, 31 Mar 2021 21:32:59 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Significant-Levene-s-Test-for-Homogeneity/m-p/730527#M35433</guid>
      <dc:creator>PGStats</dc:creator>
      <dc:date>2021-03-31T21:32:59Z</dc:date>
    </item>
    <item>
      <title>Re: Significant Levene's Test for Homogeneity</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Significant-Levene-s-Test-for-Homogeneity/m-p/730529#M35435</link>
      <description>I see, ok that sounds nice. How would I code for the proc NPAR1WAY?</description>
      <pubDate>Wed, 31 Mar 2021 21:41:40 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Significant-Levene-s-Test-for-Homogeneity/m-p/730529#M35435</guid>
      <dc:creator>Yughaber</dc:creator>
      <dc:date>2021-03-31T21:41:40Z</dc:date>
    </item>
    <item>
      <title>Re: Significant Levene's Test for Homogeneity</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Significant-Levene-s-Test-for-Homogeneity/m-p/730533#M35436</link>
      <description>&lt;P&gt;Simple. For example, does car engine size differ among car models of different origins?&lt;/P&gt;
&lt;P&gt;&amp;nbsp;&lt;/P&gt;
&lt;PRE&gt;&lt;CODE class=" language-sas"&gt;proc npar1way data=sashelp.cars wilcoxon;
class origin;
var enginesize;
run;&lt;/CODE&gt;&lt;/PRE&gt;
&lt;P&gt;Note, the Wilcoxon test is called &lt;EM&gt;Kruskal-Wallis&lt;/EM&gt; when comparing more than 2 categories.&lt;/P&gt;</description>
      <pubDate>Wed, 31 Mar 2021 22:15:44 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Significant-Levene-s-Test-for-Homogeneity/m-p/730533#M35436</guid>
      <dc:creator>PGStats</dc:creator>
      <dc:date>2021-03-31T22:15:44Z</dc:date>
    </item>
    <item>
      <title>Re: Significant Levene's Test for Homogeneity</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Significant-Levene-s-Test-for-Homogeneity/m-p/730536#M35437</link>
      <description>awesome! Thanks!!</description>
      <pubDate>Wed, 31 Mar 2021 22:26:52 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Significant-Levene-s-Test-for-Homogeneity/m-p/730536#M35437</guid>
      <dc:creator>Yughaber</dc:creator>
      <dc:date>2021-03-31T22:26:52Z</dc:date>
    </item>
    <item>
      <title>Re: Significant Levene's Test for Homogeneity</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Significant-Levene-s-Test-for-Homogeneity/m-p/730643#M35441</link>
      <description>Yes, you can use the LSMEANS statement in PROC MIXED to do comparisons.</description>
      <pubDate>Thu, 01 Apr 2021 11:19:21 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Significant-Levene-s-Test-for-Homogeneity/m-p/730643#M35441</guid>
      <dc:creator>jiltao</dc:creator>
      <dc:date>2021-04-01T11:19:21Z</dc:date>
    </item>
    <item>
      <title>Re: Significant Levene's Test for Homogeneity</title>
      <link>https://communities.sas.com/t5/Statistical-Procedures/Significant-Levene-s-Test-for-Homogeneity/m-p/731027#M35449</link>
      <description>For the median plot in NPAR1WAY, do you know how I can display how many counts/frequencies are above the median and how many are below? The plot only gives a total N and just shows a graph of above and below the median but I need to also know the frequencies above and below...</description>
      <pubDate>Fri, 02 Apr 2021 19:05:59 GMT</pubDate>
      <guid>https://communities.sas.com/t5/Statistical-Procedures/Significant-Levene-s-Test-for-Homogeneity/m-p/731027#M35449</guid>
      <dc:creator>Yughaber</dc:creator>
      <dc:date>2021-04-02T19:05:59Z</dc:date>
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