• Journal of the Korean Data and Information Science Society
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• v.24 no.4
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• pp.815-824
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• 2013

Traditional Pearson chi-squared test is not appropriate for the data collected by the complex sample design. When one uses the traditional Pearson chi-squared test to the complex sample categorical data, it may give wrong test results, and the error may occur not only due to the biased variance estimators but also due to the biased point estimators of cell proportions. In this study, the design based consistent Wald test statistics was derived for k-population homogeneity test, and the traditional Pearson chi-squared test statistics was partitioned into three parts according to the causes of error; the error due to the bias of variance estimator, the error due to the bias of cell proportion estimator, and the unseparated error due to the both bias of variance estimator and bias of cell proportion estimator. An analysis was conducted for empirical results of the relative size of each error component to the Pearson chi-squared test statistics. The second year data from the fourth Korean national health and nutrition examination survey (KNHANES, IV-2) was used for the analysis. The empirical results show that the relative size of error from the bias of variance estimator was relatively larger than the size of error from the bias of cell proportion estimator, but its degrees were different variable by variable.

• Survey Research
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• v.7 no.2
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• pp.53-69
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• 2006

Weights can be made and imposed in both sample design stage and analysis stage in a sample survey. While in design stage weights are related with sample data acquisition quantities such as sample selection probability and response rate, in analysis stage weights are connected with external quantities, for instance population quantities and some auxiliary information. The final weight is the product of all weights in both stage. In the present paper, we focus on the weight in analysis stage and investigate the effect of such weights imposed on the weighted mean when estimating the population mean. We consider a finite population with a pair of fixed survey value and weight in each unit, and suppose equal selection probability designs. Under the condition we derive the formulas of the bias as well as mean square error of the weighted mean and show that the weighted mean is biased and the direction and amount of the bias can be explained by the correlation between survey variate and weight: if the correlation coefficient is positive, then the weighted mein over-estimates the population mean, on the other hand, if negative, then under-estimates. Also the magnitude of bias is getting larger when the correlation coefficient is getting greater. In addition to theoretical derivation about the weighted mean, we conduct a simulation study to show quantities of the bias and mean square errors numerically. In the simulation, nine weights having correlation coefficient with survey variate from -0.2 to 0.6 are generated and four sample sizes from 100 to 400 are considered and then biases and mean square errors are calculated in each case. As a result, in the case or 400 sample size and 0.55 correlation coefficient, the amount or squared bias of the weighted mean occupies up to 82% among mean square error, which says the weighted mean might be biased very seriously in some cases.

• Journal of Korean Society of Forest Science
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• v.99 no.3
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• pp.285-291
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• 2010

Since 2006, the $5^{th}$ National Forest Inventory (NFI) has been implemented to provide forest resources statistics at the national level and at the county level as well. However, it needs a small-area estimator for estimating forest statistics at the county-level due to a small number of samples collected within a county. This study was conducted to evaluate the applicability of a geographical-based synthetic estimator for estimating forest growing stock volumes at the county level. The NFI-field plots surveyed were post-stratified into three forest cover types. In the synthetic estimator, field plots within a geographical-based super-county for each county were used to estimate stratum weights and stratum mean volumes. It was resulted that estimated stratum weights using the synthetic estimation were significantly differ from forest cover maps. The standard errors of estimated mean by the synthetic estimation that ranged from ${\pm}3.5\;m^3$/ha to ${\pm}7.7\;m^3$/ha were more smaller than those (${\pm}7.8\;m^3/ha{\sim}{\pm}24.7\;m^3/ha$) by the direct estimation. This means that the synthetic estimation is possible to provide more precise estimates of mean volumes.

• Journal of Digital Convergence
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• v.15 no.10
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• pp.559-570
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• 2017

This study has the objective of finding out the impact of veblen effect and bandwagon effect on the choice behavior of hair salon. A structured survey questionnaire was used targeting 1,000 women over the age of 20. For the sample, proportionate stratified sampling method was utilized for the generalization of the findings. For analysis, frequency analysis, factor analysis, reliability analysis and regression analysis were performed by utilizing SPSS ver.19.0. Two hypotheses were set for the achievement of the research purpose. Hypothesis 1. Veblen effect will affect the hair salon choices. Hypothesis 2. Bandwagon effect will affect the hair salon choices. It was verified that the veblen effect and bandwagon effect greatly affects the patterns in the choice of hair salons. It appeared that the research hypotheses of 'Veblen effect will affect the hair salon choices.' and 'Bandwagon effect will affect the hair salon choices' could be partly adopted. The results of the study show that most of the users choose the hair salon with their friends, acquaintances or people they interact with.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.5
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• pp.3276-3283
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• 2015

The purpose of this study was to ascertain whether some socio-economic characteristics affect the service users' perception on the change of social condition in healthcare services. The research target for this study was fixed on the sample members in national sample design and the data of this study was used 37,648 effective samples collecting using Probability Proportional to Size. The results of this study using the causal relationships model are as follows: The variables including type of female, age, years of schooling show positive signs on the service users' perception on the social condition change of healthcare. And the variables including household income, temporary worker, casual worker, urban residents show negative signs on the service users' perception on the social condition change of healthcare. In conclusion, the socio-economic characteristics affect the service users' perception on the social condition change of healthcare. And the service user's perception on the social condition change of healthcare was affected positively on the beneficiary side.

• Journal of fish pathology
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• v.32 no.1
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• pp.29-35
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• 2019

A monitoring was performed to survey the mortalities that had occurred in the aquaculture farms of olive flounder (Paralichthys olivaceus) in South Korea from 2015 to 2017. The indirect inquiry for entire farms and the sample survey for selected farms were carried out. The aquatic organism disease inspectors, who have a national license for the diagnosis and prevention of aquatic organism diseases and a have close relationship with the farms, investigated the rates and causes of mortalities according to the standard manual. The mortality rate by sample survey of farms in 2015, 2016, and 2017 were 24.78% (Chunnam: 17.86%, Jeju: 28.69), 30.19% (Chunnam: 24.45%, Jeju: 32.65), and 21.59% (Chunnam: 10.57%, Jeju: 26.00%), respectively. The major cause of mortality was scuticociliatosis, and the mortality caused by viral hemorrhagic septicemia and emaciation disease (Jeju) were also high. Our results can contribute to effective establishment prevention of epidemics system and acquired status as a disease-cleansing country.

• Journal of the Korean Data and Information Science Society
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• v.28 no.1
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• pp.21-28
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• 2017

This study aims to identify individual and familial factors associated with youth sexual experience by using the nationally representative sample data in South Korea. Specifically, we select 68,043 students in middle and high schools participating in the 2015 Korea Youth Risk Behavior Web-based Survey. Considering the complex survey design, we conduct a descriptive analysis and multiple logistic regression for sexual experience. The main results identify factors on sexual experience such as age, type of school, stress level, drinking, smoking, economic status, and cohabiting parents. In particular, the drinking and smoking behaviors are positively associated with sexual experience and the youth living with neither parent is more likely to have a sexual experience than those who lived two parents. In conclusion, the plan of sex education should consider the risk factors and the quality of sex education should be enhanced in order to build more appropriate sexual culture and behaviors among the youth.

• The Journal of the Korea Contents Association
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• v.12 no.12
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• pp.413-426
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• 2012

The purpose of this study was to investigate the relationship between recreation specialization of bicycle riders and purchase decision factors for bicycle products. A total of 351 respondents were selected using the stratified sampling method. From the statistical analyses, two meaningful results were extracted. First, there were significant difference in specialization sub-factors and purchase decision factors on the base of demographical characteristics. Specially, riding club participants were most different from non-participants in all factors. Second, some specialization sub-factors influenced some purchase decision factors positively, or negatively. In special, emotional specialization had positive effects most significantly on many factors of purchase decision. Cognitive specialization, however, had no any effect on purchase decision factors. Moreover, behavioral specialization had negative effects on some purchase decision factors.

• Korean journal of communication and information
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• v.24
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• pp.37-67
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• 2004

본 연구는 인터넷 이용수준이 전통적 미디어의 이용수준에 미치는 영향과 수용지들의 미디어 소비 패턴에 대해 살펴보았다. 미디어 대체이론, 이용과 충족이론, 미디어 레퍼토리 연구를 바탕으로 인터넷 이용이 전통적 미디어의 이용에 미치는 영향을 중심으로 개인들의 정보와 오락 미디어 레퍼토리, 인터넷 레퍼토리에 영향을 미치는 사회적, 심리/태도적 변인과 인구통계학적 특징 등도 검토하였다. 이를 위해 전국에 있는 18세 이상 성인들을 대상으로 성별, 나이별, 지역별 층화표집방법을 이용해 표본을 추출하고 500개의 유효 서베이 설문지를 수집하였다. 데이터의 분석결과, 인터넷 이용정도가 다른 매체에 미치는 영향은 각 미디어별로 세 가지 다른 양상을-상호보완적 영향, 대체 치환의 영향, 그리고 영향을 받지 않음-보였으나 대체로 인터넷은 다른 미디어의 대체 미디어라기보다는 보완적인 매체로 현재 이용되고 있음이 나타났다. 또, 전반적인 미디어 이용시간 측면에서는 인터넷을 많이 이용하는 응답자일수록 오락과 정보 미디어 레퍼토리 크기가 더 컸던 것으로 나타나, 현재까지는 인터넷이 다른 미디어와 상호 보완하는 양상, 피들러(Fidler)의 미디어 변형이론 가운데 공존 공진화 현상을 보여주었다. 응답자들은 평균 2.01개와 2.25개의 오락과 정보 미디어 레퍼토리를 가졌으며 텔레비전, 신문, 인터넷을 두 미디어 레퍼토리의 3대 주요 미디어로 꼽았다. 또한 인터넷 레퍼토리와 사회적, 태도적 변인들간의 상관관계는 최근의 이용 충족이론과 미디어 레퍼토리 연구에서 나타났던 결과들과 일치해 사회적, 심리 태도적 요인들이(친밀도, 접근성, 유용성, 여가시간) 미디어 레퍼토리의 크기에도 영향을 미친다는 사실이 검증되었다.

• Journal of the Korean Association of Geographic Information Studies
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• v.18 no.2
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• pp.149-160
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• 2015

This study aims to estimate the forest volumes of the upper region of Nam-Han River in ecosystem zoning by forest types and age classes, and to suggest the optimal estimation method through the comparison of the standard errors according to the spatial unit. In the estimation of forest volumes, we used both of direct estimation, which uses sample plots of the target area only, and synthetic estimation, which includes sample plots of the expanded areas as well as those of the target area. As for the spatial expansion, we applied four standards for synthetic estimator: Mountainous zone, Neighbor ecosystem region, Gangwon province, and Buffer zone. The results show that average forest volume per ha, calculated by direct estimation, was $143.5m^3/ha$, while that by synthetic estimation with each standard, was estimated at $146.9m^3/ha$ by Gangwon province, $144.8m^3/ha$ by Buffer zone, $139.8m^3/ha$ by Neighbor ecosystem region, and $138.6m^3/ha$ by Mountainous zone, respectively. The standard errors of direct estimation was $1.79m^3/ha$, while those of synthetic estimation showed not a great difference among the errors. Meanwhile, considering the standard errors by forest type, the lowest was ${\pm}2.3m^3/ha$ of broad-leaved forest, followed by ${\pm}3.3m^3/ha$ of mixed forest, and ${\pm}4.8m^3/ha$ of coniferous forest.