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  <title>EVALUASI MODEL FIT MULTILEVEL CONFIRMATORY FACTOR ANALYSIS (MCFA) DENGAN MENGGUNAKAN PENDEKATAN PARTIALLY SATURATED (PS)</title>
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 <name type="Personal Name" authority="">
  <namePart>HANITA RAHMAWATI</namePart>
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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>Thesis ini mengkaji mengenai mengevaluasi model fit Multilevel Confirmatory &#13;
Factor Analysis (MCF A) dengan menggunakan pendekatan standar dan &#13;
pendekatan Partially Saturated (PS). Tujuan analisis adalah untuk mendeteksi &#13;
kurangnya fit pada level between group. Pendekatan standar untuk mengevaluasi &#13;
model fit memiliki keterbatasan dalam mendeteksi kurangnya fit pada level &#13;
between group. Beberapa pendekatan tingkat spesifik diusulkan untuk mengatasi &#13;
keterbatasan pada pendekatan standar, salah satunya adalah pendekatan Partially &#13;
Saturated (PS). Pendekatan partially saturated diperkenalkan oleh Box (2002) &#13;
kemudian pendekatan ini telah dikembangkan oleh Ryu dan West (2013) dengan &#13;
studi simulasi. Uji statistik yang digunakan yaitu uji chi square, Comparative Fit &#13;
&#13;
iv &#13;
&#13;
Index (CFI), dan Root Mean Squared Error Of Approximation (RMSEA). &#13;
Penaksiran parameter model dilakukan melalui metode Maksimum Likelihood. &#13;
Software yang digunakan dalarn penelitian ini adalah MPlus. &#13;
&#13;
10. Abstract &#13;
&#13;
This paper present a study of the evaluating model fit Multilevel Confirmatory &#13;
Factor Analysis (MCF A) using the standard approach and the approach of &#13;
Partially Saturated (PS). The goal of the analysis is to detect the lack of fit at the &#13;
between group. The standard approach to evaluate model fit has limitations in the &#13;
lack of fit at the between group level. Some specific level approach proposed to &#13;
overcomes the limitations of the standard approaches, one of which is the &#13;
approach Partially Saturated (PS). Partially Saturated approach introduced by &#13;
Hox (2002) then this approach has been developed by Ryu and West (2013) with &#13;
a simulation study. The statistical test used is chi square test, Comparative Fit &#13;
Index (CFl), and Root Mean Squared Error of Approximation (RMSEA). The &#13;
parameters of the model are estimated by a Maximum Likelihood. Software used &#13;
in this study is Mplus. &#13;
&#13;
v &#13;
&#13;
</note>
 <note type="statement of responsibility">HANITA RAHMAWATI</note>
 <subject authority="">
  <topic>Index (CFI), dan Root Mean Squared Error Of Approx</topic>
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 <classification>519.5 hAN E</classification>
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