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Agung Priyo Utomo
Sekolah Tinggi Ilmu Statistik
Agriculture, Biological Sciences & Forestry Law, Crime, Criminology & Criminal Justice Mathematics Social Sciences Other

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KAJIAN TENTANG PENGARUH TWO STAGE CLUSTER SAMPLING TERHADAP STATISTIK UJI-F Agung Priyo Utomo
Jurnal Matematika Sains dan Teknologi Vol. 8 No. 2 (2007)
Publisher : LPPM Universitas Terbuka

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (401.944 KB)

Abstract

In regression analysis we make several assumptions about the error term. The following assumptions are often made: 1) the error terms are random variables with mean 0; 2) nonautocorrelation; 3) homoscedasticity, and 4) normality. The assumption of identically and independently distributed (iid) observations that underlies regression procedures is called into question when analyzing complex survey data. Particularly the existence of clusters in two stage samples usually exhibit positive intracluster correlation. If we use Ordinary Least Squares (OLS) procedures to make inferences in regression analysis for two stage cluster samples, we will be faced with a problem. This study aims to know the effect of two stage least squares on the F-Statistic. In general, although OLS procedures are unbiased but not fully efficient for estimation of the regression coefficients. Variance of the OLS estimators for the regression coefficients can be larger than the usual OLS variance expression would indicate. Failure to consider this possibility leads to underestimation of variances, with consequences for confidence intervals and the F-Statistic. The effect of intracluster correlation on the F-Statistic is the distortion of its distribution. The F-Statistic will not follow the Central F distribution anymore. Consequently, the hypothesis testing procedure is invalid.
Kesejahteraan Rumah Tangga dalam Pengaruh Wanita Kepala Rumah Tangga Agung Priyo Utomo; Rini Rahani
Jurnal Ilmu Sosial dan Ilmu Politik Vol 17, No 2 (2013): NOVEMBER (Korporasi dan Tanggung Jawab Sosial)
Publisher : Faculty of Social and Political Sciences, Universitas Gadjah Mada

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (387.239 KB) | DOI: 10.22146/jsp.10883

Abstract

This study focused on the welfare of the household headed by a working widow, viewed through the assets and the quality of their residence. Household welfare level is based on the wealth index. Ordinal logistic regression analysis show that level of education, age and employment status significantly influence the level of wealth of households headed by them. The higher the educational level of a widow, the household will tend to be richer. The older widows, the smaller tendency to have poor household. Households headed by widows who work in the agricultural sector, have a greater tendency to get a lower level of wealth status compared with who work in the non-agricultural sector.
Co-Authors Rini Rahani