• Journal of the Korea Society of Computer and Information
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• v.27 no.6
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• pp.139-147
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• 2022

This study tried to analyze the relationship among physical activity level, subjective health status, COVID-19 Fear. This study used the 2020 Community Health Survey that includes 229,269 survey data from adults over 19 years old. The complex sampling design was applied including weight, stratification, cluster variables. Through the SPSS statistics program with complex sampling frequency analysis, complex sampling Chi-square and complex sampling regression, this study found followings. First, the group with high level of physical activity showed higher level of subjective health status than the group with low level of physical activity. Second, the group with high level of physical activity showed lower level of COVID-19 fear than the group with low level of physical activity. Third, the group with high level of subjective health status showed lower level of COVID-19 fear than the group with low level of subjective health status. However, this study has the limitation that this study did not check whether participant is diagnosed with Covid-19 or not.

• 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.

• The Korean Journal of Applied Statistics
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• v.36 no.4
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• pp.337-347
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• 2023

Sampling designs often use stratified sampling, where elements or clusters of the study population are divided into strata and an independent sample is chosen from each stratum. The stratification strategy consists of stratification and sample allocation, which are important issues that are repeatedly considered in survey sampling. Although a stratified multistage sample design is often used in practice, the literature tends to discuss simple sampling in terms of stratum effects or stratum efficiency. This study examines an existing stratum efficiency measure for two-stage sampling and further proposes additional stratum efficiency measures using the design effect model. The proposed measures are used to evaluate the stratification strategy of the sample design for high school students of the 4^th Korean National Environmental Health Survey (KoNEHS).

• Survey Research
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• v.10 no.1
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• pp.141-154
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• 2009

With the current sampling scheme, the sampling variance is getting larger in producing smaller regional statistics than the designed area, The larger sample size can make the variance reduced but the efficiency of sample survey lower. The desired confidence level of sampling survey can be obtained using the current sample scheme with the same sample size and administrative data. In this paper, the number of the unemployed of 5 regions in Daejon are estimated using small area estimation methods and the CV values in each estimation method is calculated and compared for their estimation efficiency as empirical study. Jackknife method is proposed to estimate the MSE of synthetic estimator and composite estimator more accurately.

• The Korean Journal of Applied Statistics
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• v.32 no.3
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• pp.375-389
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• 2019

Sample attrition according to a long-term tracking reduces the representativeness of the sample data in a panel study. Most panel surveys in South Korea and other countries have prepared response adjustment weights in order to solve problems regarding representativeness due to sample attrition. In this paper, we divided the panel data into continuous response group and non-continuous response group according to response patterns and considered a weighting adjustment method to reduce the bias of the non-continuous response group. A simulation indicated that the proposed composite estimation type weighting method, which reflected the characteristics of non-continuous response groups, could be more efficient than other weighting methods in terms of reducing non-response bias. As a case study, the proposed methods are applied to the Korean Longitudinal Study of Ageing (KLoSA) data of the Korea Employment Information Service.

• Journal of Convergence for Information Technology
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• v.10 no.10
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• pp.268-272
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• 2020

This study will be used as basic data for the prevention of suicide ideation and the promotion of oral health of economic activity by studying the data of National Health and Nutrition Survey in Korea to find out the relationship between the oral health and suicidal ideation in Korea economic activity. The collected data was based on the IBM SPSS Statistics 20.0 program, and the analysis method is to analyze the frequency of complex samples, Chi-square test of complex samples and logistic regression analysis of complex samples were performed. According to the study, discomfort chewing 2.49 times higher in relation to oral health and suicidal ideation. Therefore, it suggests the need for oral health care to prevent suicide ideation of economic activity.

• Journal of Korean society of Dental Hygiene
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• v.21 no.4
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• pp.349-356
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• 2021

Objectives: This study aimed to determine the relationship between mental health and oral symptoms in the youths of multicultural families. Methods: Our data source was from an online survey on youth health behaviors, mental health-examined stress, depression, and suicidal ideation, and oral symptoms-examined trauma, pain, and bleeding general characteristics, and the relationship between mental health and oral symptoms was analyzed using complex sample logistic regression. Results: Stress and depression were associated with pain and bleeding, and suicidal ideation was associated with trauma. Conclusions: Oral health plans should be prepared based on the mental health of adolescents from multicultural families.

• Journal of Korea Entertainment Industry Association
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• v.13 no.8
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• pp.357-365
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• 2019

Purposes: This study aimed to investigate the differences in the health-related quality of life (EQ-5D) in Korean adults according to gender, age period, and the metabolic syndrome or not. Methods: The study subjects were 5,021 adults, who completed all of the KNHANES VI-2. The subjects were categorized, using life periods, into young, middle-aged, and older adults. Methods were selected based on the KNHANES VI-2. IBM SPSS 25.0 was used for a complex samples cross-tabulation, general linear model and a complex samples t-test. Results: The HRQoL (EQ-5D) was higher in male(p<.001), in the young group by age(p<.001), and in the non-metabolic syndrome group(p>.05). In condition of the metabolic syndrome by gender, the female group's EQ-5D was higher in the non-metabolic syndrome group; there was the result of the complex samples independent t-test revealed significant differences in EQ-5D(p<.01). Conclusion: The HRQoL (EQ-5D) was higher in male, young, and in the non-metabolic syndrome group. Also, in condition of metabolic syndrome in female, there was the result of the complex samples independent t-test revealed significant differences in EQ-5D.

• Journal of Korea Entertainment Industry Association
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• v.13 no.6
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• pp.175-186
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• 2019

Purposes: This study aimed to investigate the differences in the prevalence of obesity according to sex and age and self-rated health in adults with metabolic syndrome according to sex, age, and the presence or absence of metabolic syndrome. Methods: The study subjects were 5,674 adults, who completed all three components of the KNHANES VI-2. The subjects were categorized, using life transition periods, into young adults, middle-aged adults, and older adults. Research methods were selected based on the research objectives of the KNHANES VI-2. IBM SPSS 23.0 was used for complex samples cross-tabulation and a complex samples general linear model analysis. Results: Obesity was prevalent in 77.2% of young male adults, 66.2% of middle-aged male, and 52.3% of older male adults with metabolic syndrome, whereas it was prevalent in 72.4% of young female adults, 73.9% of middle-aged female adults, and 64.6% of older female adults with metabolic syndrome. Men had higher self-rated health than women. As age increased, self-rated health status decreased. Those with metabolic syndrome had lower self-rated health status than those without metabolic syndrome. Conclusion: The prevalence of obesity was found to be high in those with metabolic syndrome. This study found that based on sex, men had the highest self-rated health status, and based on age, young adults had the highest self-rated health status, whereas those with metabolic syndrome had low self-rated health status.

• Journal of Digital Convergence
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• v.19 no.4
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• pp.167-176
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• 2021

This study aims to analyze economically active females' factors influencing problematic drinking, by their jobs. It examined the socio-demographic and health-related characteristics and problematic drinking status of economically active females over 19, by using data from the 6th Korea National Health and Nutrition Examination Survey. They were analyzed by using IBM SPSS 25.0 and the complex sampling design. The findings show that the problematic drinking rates of economically active females were varied by their jobs: 19.1% for office job; 24.8% for manufacturing job; 12.3% for service job. The factors influencing problematic drinking were also differed by jobs: subjective heath status for office job; marital status and smoking for service job; marital status for manufacturing job. They suggest that convergent drinking management programs customized to jobs should be developed by considering the characteristics of females' physical and emotional traits and their jobs, to reduce their problematic drinking rates.