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 <titleInfo>
  <title>Model asosiasi Dua variabel kategorik multi-respon</title>
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  <namePart>Sarmuda, Giat Sudrajat</namePart>
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  <place>
   <placeTerm type="text">Bandung</placeTerm>
   <publisher>Magister Statistika Terapan</publisher>
   <dateIssued>2012</dateIssued>
  </place>
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  <languageTerm type="code">id</languageTerm>
  <languageTerm type="text">Indonesia</languageTerm>
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  <extent>xiv, 75 hlm. ; il. ; 29 cm.</extent>
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 <note>Salah satu jenis kompleksitas struktur data adalah adanya variabel &#13;
kategorik multi-respon, yaitu suatu kondisi dimana responden dapat memilih &#13;
lebih dari satu kategori respon atau lebih dari satu item pilihan. Kesulitan dalam &#13;
uji asosiasi yang melibatkan variabel kategorik multi-respon berasal dari &#13;
kenyataan bahwa total respon tidak sama dengan total responden/sampel. &#13;
Sehingga diperlukan suatu modifikasi lebih lanjut pada statistik uji Pearson Chi­ &#13;
Square. Pada penelitian ini digunakan pendekatan yang diperkenalkan oleh &#13;
Bilder (2004), yaitu pendekatan model loglinier marjinal, dengan menerapkan &#13;
metode boots trap dan algoritma Gange. Sebagai contoh digunakan data &#13;
SUSENAS Kabupaten Tanjung Jabung Timur Provinsi Jambi Tahun 2010, yaitu: &#13;
variabel keluhan kesehatan dan variabel jenis obatlcara pengobatan. Berdasarkan &#13;
hasil pengolahan, diperoleh kesimpulan bahwa model loglinier marjinal &#13;
memberikan gambaran adanya asosiasi antara variabel keluhan kesehatan dan &#13;
variabel jenis obatlcara pengobatan. Se lain itu, diperoleh kesimpulan bahwa &#13;
model loglinier marjinal untuk wilayah perkotaan berbeda dengan model &#13;
loglinier marjinal untuk wilayah pedesaan. &#13;
&#13;
4. Abstract &#13;
&#13;
One of data structure complexity type is the existence of multiple response &#13;
categorical variable, which is a condition in which respondents could choose &#13;
more than one response category or more than one item of choice. The difficulty &#13;
in the association test that involves multiple response categorical variables &#13;
derived from the fact that the total response is not equal to the total &#13;
respondents/sample. Thus required a further modification to usual association &#13;
test, such as Pearson Chi-Square. The approach used in this research introduced &#13;
by Bilder (2004), known as marginal loglinier model approach, by applying the &#13;
bootstrap method and the Gange algorithm. The data used as an example is &#13;
SUSENAS Tanjung Jabung Timur District of Jambi Province in 2010, with &#13;
variables of health complaints and types of medications/treatments. Based on the &#13;
results of processing, the conclusion is the marginal loglinier model gives an &#13;
overview of the association between variables of health complaints and types of &#13;
medications/treatments. Moreover, the conclusion that the marginal loglinier &#13;
model for urban areas are different from marginal loglinier model for rural &#13;
areas.</note>
 <note type="statement of responsibility">Sarmuda, Giat Sudrajat</note>
 <subject authority="">
  <topic>1. Variabel Kategorik Multi-Respon   2. Loglinier </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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