PENERAPAN METODE HIERARCHICAL LINEAR MODEL PADA DATA SURVEI (Studi Kasus Pengaruh Pola Konsumsi Makanan Serat dan Makanan Berisiko Terhadap Indeks Massa Tubuh)

• Main Author: LUSI KRISTIANA, 100941021
• Format: Theses and Dissertations NonPeerReviewed
• Language: English; Indonesian
• Published: 2011
• Subjects: RA407-409.5 Health status indicators. Medical statistics and surveys; RA601-602 Food and food supply in relation to public health
• Online Access: http://repository.unair.ac.id/36403/1/gdlhub-gdl-s2-2012-kristianal-18211-tkm1811.pdf; http://repository.unair.ac.id/36403/13/gdlhub-gdl-s2-2012-kristianal-18211-tkm1811.pdf; http://repository.unair.ac.id/36403/; http://lib.unair.ac.id
• Institution: Universitas Airlangga

The purpose of this study is to analyze the use of multilevel regression methods (Hierarchical Linear Model) on data Riskesdas 2007. Namely the influence of fiber foods and food consumption risks for Body Mass Index (BMI) in the Province of Nanggroe Aceh Darussalam (NAD.) This study is a non-reactive or unobtrusive study. The study uses secondary data Riskesdas 2007 courtesy of Health Research and Development Agency, health Ministry of the Republic of Indonesia. Variable monthly per capita expenditure from 2007 SUSENAS data linked with data Riskesdas 2007. Sample is a member of the household population aged at least 10 years in the province of Aceh in 2007. The results showed that the intraclass correlation (ICC) of 97.64%. The result show that the average expenditure per capita per month at the district level family influence body mass index by equation . Determine the feasibility of the model using indicator-2LL, AIC and BIC indicate that the model is not a fit model. Consider the weaknesses of this methods, thus the mathematical model is not fit for use in real conditions