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  <title>Analisis power dalam uji kecocokan model pada structural equation modelling dengan menspesifikasikan parameter alternatif</title>
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 <name type="Personal Name" authority="">
  <namePart>Trianasari, Nurvita</namePart>
  <role>
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  <place>
   <placeTerm type="text">Bandung</placeTerm>
   <publisher>Magister Statistika Terapan</publisher>
   <dateIssued>2010</dateIssued>
  </place>
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  <languageTerm type="code">id</languageTerm>
  <languageTerm type="text">Indonesia</languageTerm>
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 <note>Structural Equation ModeUing, Indeks-indeks kecocokan, &#13;
Parameter non sentral, analisis power dengan &#13;
menspesifikasikan parameter alternatif &#13;
&#13;
Abstrak &#13;
&#13;
Tahap evaluasi kecocokan data dengan model yang diusulkan dalam &#13;
Structural Equation Modelling biasanya diukur melalui 'beberapa ukuran kecocokan &#13;
&#13;
seperti X2, AIC, RMSEA dan sebagainya. Ukuran-ukuran kecocokan terse but hanya &#13;
mengukur misspesification di tingkat kovarians dan bukan di tingkat parameter. Oleh &#13;
karena itu diper!ukan adanya alternatif lain dalam evaluasi kecocokan model yaitu &#13;
analisis power. Dalam penelitian ini dibahas analisis power dengan menspesifikasikan &#13;
parameter alternatif. Power yang dihitung bersama-sama dengan ukuran kecocokan &#13;
&#13;
l , memerlukan pemahaman parameter non sentral, yang dapat digunakan untuk &#13;
menentukan apakah model yang dihipotesiskan akan ditolak, diterima atau tidak bisa &#13;
diputuskan. Implementasi pada model Bandung Family Relation Test (BFRl) &#13;
menunjukkan basil bahwa model yang diusulkan tidak dapat diterima karena nilai X2 &#13;
signifikan pada taraf nyata 5% dan powernya rendah (0.095). &#13;
&#13;
Abstrad &#13;
&#13;
Goodness offit index evaluation phase with proposed Structural Equation Modelling &#13;
models, usually measured by some goodness of.fit such as X2 AlC, RMSEA etc. Those &#13;
goodness of fit indices only measure misspecification at the level of covariances, and &#13;
not at the level of the relevant structural parameters. Consequently, other parameters &#13;
are needed to evaluate goodness of fit, that is power analysis. This research was &#13;
conducted to examine about power analysis in by specifying alternative parameters. &#13;
The power which is measured together with goodness of fit X2, needs the &#13;
understanding of non central parameter then is able to hypothesized model accepted, &#13;
. rejected or adjusted The implementation on BFRT model, shows that the results are &#13;
&#13;
rejected because the X2 is significant for the a level 0.05 and low power (0.095). &#13;
</note>
 <note type="statement of responsibility">Trianasari, Nurvita</note>
 <subject authority="">
  <topic>Structural Equation ModeUing, Indeks-indeks kecoco</topic>
 </subject>
 <classification>519.5</classification>
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  <physicalLocation>Perpustakaan Universitas Padjadjaran Kementerian Riset Teknologi dan Pendidikan Tinggi</physicalLocation>
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