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  <title>PERBANDINGAN KUALITAS PENAKSIR PARAMETER STRUKTURAL VARIANCE BASED-SEM DENGAN COVARIANCE BASED-SEM MENGGUNAKAN SIMULASI MONTE CARLO</title>
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   <placeTerm type="text">Bandung</placeTerm>
   <publisher>Magister Statistika Terapan</publisher>
   <dateIssued>2015</dateIssued>
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  <languageTerm type="text">Indonesia</languageTerm>
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 <note>&#13;
: Comparison of the Quality of Structural Variance Based Sem &#13;
&#13;
and Covariance Based SEM using Monte Carlo Simulation &#13;
I. Partial Least Square &#13;
&#13;
2. SEM &#13;
&#13;
3. Non-normal Distribution &#13;
&#13;
4. Small Sample Size &#13;
&#13;
5. Monte Carlo Simulation &#13;
Intan Iriani Supriatna &#13;
140720120006 &#13;
&#13;
Applied Statistic &#13;
Social Statistic &#13;
&#13;
I. Septiadi Padmadisastra,Ph.D. &#13;
2. IGN Mindra Jaya, S.Si., M.Si. &#13;
2015 &#13;
&#13;
8. Year Graduation &#13;
&#13;
9. Abstract &#13;
&#13;
This thesis examines based on the comparison of Co variance Based SEM an &#13;
&#13;
Variance Based Sem for small and non normal data. Determines between &#13;
&#13;
Variance based SEM (PLS} and Covariance based Sem (SEM) wich could be the &#13;
&#13;
best tool for the statistical modelling of small sample size and non normal data, &#13;
&#13;
base on for general aspec by generating data using Monte Carlo simulation The &#13;
simulation is using Sofware with R based. &#13;
&#13;
</note>
 <note type="statement of responsibility">INTAN IRIANI SUPRIATNA</note>
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  <topic>Comparison of the Quality of Structural Variance B</topic>
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