• Survey Research
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• v.9 no.1
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• pp.69-85
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• 2008

Stratification is a feature of the majority of field sample design. This paper considers the multivariate stratification strategy for multipurpose sample survey with several auxiliary variables. In a multipurpose survey, stratification procedure is very complicated because we have to simultaneously consider the efficiencies of stratification for several variables of interest. We propose stratification strategy based on factor analysis and cluster analysis using several stratification variables. To improve the efficiency of stratification, we first select the stratification variables by factor analysis, and then apply the K-means clustering algorithm to the formation of strata. An application of the stratification strategy in the sampling design for the Fisher Production Survey is discussed, and it turns out that the variances of estimators are significantly less than those obtained by simple random sampling.

• Journal of Convergence for Information Technology
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• v.8 no.4
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• pp.163-171
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• 2018

The study on the satisfaction of leisure sports and the leisure sports. The subjects of the study were selected and recruited 250 members belonging to each community association as the population of the sports club members. The data sampling method was a simple random sampling method based on the self-administration method and was collected after the questionnaire was prepared. A total of 200 questionnaires were analyzed, except for 50 cases in which the reliability of the questionnaire was doubtful. Factor analysis, ${\chi}^2$, factor analysis, reliability analysis, and one - way ANOVA were used for the data analysis. First, there was a significant difference in leisure satisfaction among the participants in the age group. Second, there was a statistically significant difference in leisure satisfaction among the different education levels of participants. Third, there was no significant difference in leisure satisfaction according to monthly average salary.

• International Journal of Advanced Culture Technology
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• v.11 no.4
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• pp.223-232
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• 2023

The purpose of this study is to determine the impact of social network sports community consciousness on loyalty and sports attitude. In order to achieve this research purpose, the population of the study was selected as adult men and women over the age of 20 who are active in the social network sports community in 2022. The sampling method used cluster random sampling to select a total of 300 people, 150 men and 150 women, as research subjects. The survey tool used was the questionnaire method, and the questionnaire whose reliability and validity had been verified in previous studies at home and abroad was used by requoting, modifying, or supplementing it to suit the purpose of this study. It was also structured on a 5-point scale. Frequency analysis, factor analysis, reliability analysis, simple regression analysis, and multiple regression analysis were performed on the collected data using the statistical program SPSS Windows 20.0 Version. The results obtained through this process are as follows. First, social network sports community consciousness was found to have a partial effect on loyalty. Second, social network sports community consciousness was found to have a partial effect on sports attitudes. Third, social network sports community loyalty was found to have a partial effect on sports attitudes. Considering these results, various activities such as decision-making process, relationship formation, and opinion expression of modern people are carried out by the O-line community. In addition, while in the past it was a format that led from offline activities to online activities, currently, there are more and more formats that lead from online activities to offline activities. Therefore, modern people's SNS sports community activities provide many experiences, which creates a sense of community and sports attitudes are formed based on this. This can be said to lead to loyal activities.

• Journal of Animal Science and Technology
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• v.55 no.2
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• pp.103-107
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• 2013

A crucial first step in the planning of any scientific experiment is to evaluate an appropriate sample size to permit sufficient statistical power to detect the desired effect. In this study, we investigated the optimal sample size of quantitative trait locus (QTL) linkage analysis for simple random sibship samples in pedigreed chicken populations, under the variance component framework implemented in the genetic power calculator program. Using the program, we could compute the statistical power required to achieve given sample sizes in variance component linkage analysis in random sibship data. For simplicity, an additive model was taken into account. Power calculations were performed to relate sample size to heritability attributable to a QTL. Under the various assumptions, comparative power curves indicated that the power to detect QTL with the variance component method is highly affected by a function of the effect size of QTL. Hence, more power can be achievable for QTL with a larger effect. In addition, a marked improvement in power could be obtained by increasing the sibship size. Thus, the use of chickens is advantageous regarding the sampling unit issue, since desirable sibship size can be easily obtained compared with other domestic species.

• Journal of Environmental Impact Assessment
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• v.20 no.6
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• pp.879-890
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• 2011

The GOSAT (Greenhouse gases Observing SATellite) data provide new opportunities the most regionally complete and up-to-date assessment of $CO_2$. However, in practice, GOSAT records often suffer from missing data values mainly due to unfavorable meteorological condition in specific time periods of data acquisition. The aim of this research was to identify optimal spatial interpolation techniques to ensure the continuity of $CO_2$ from samples taken in the North East Asia. The accuracy among ordinary kriging (OK), universal kriging (UK) and simple kriging (SK) was compared based on the combined consideration of $R^2$ values, Root Mean Square Error (RMSE), Mean Error (ME) for variogram models. Cross validation for 1312 random sampling points indicate that the (UK) kriging is the best geostatistical method for spatial predictions of $CO_2$ in the East Asia region. The results from this study can be useful for selecting optimal kriging algorithm to produce $CO_2$ map of various landscapes. Also, data users may benefit from a statistical approach that would allow them to better understand the uncertainty and limitations of the GOSAT sample data.

• Research in Community and Public Health Nursing
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• v.19 no.3
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• pp.495-505
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• 2008

Purpose: This study was conducted to identify the relation between farmers' syndrome and the quality of life of residents in suburban areas. Methods: A total of 994 subjects were selected through simple random sampling. Data were collected from June 25 to August 31, 2007. Data analysis included frequency, $X^2$-test, Fisher's exact test, t-test, ANOVA, Duncan test, and Pearson's correlation coefficient using SPSS Win 12.0. Results: 1. Analysis of farmers' syndrome showed that there were statistically significant differences according to age, gender, education, living with, family conversation, health security, monthly income, occupation, general health status, systolic blood pressure, and sleeping time. 2. Analysis of the qualify of life showed that there were statistically significant differences according to age, education, religion, family conversation, health security, monthly income, occupation, and sleeping time. 3. Farmers' syndrome was in a significantly negative correlation with quality of life. Conclusions: Considering the results above, we need to develop nursing interventions for decreasing hypertension, high blood sugar, and farmers' syndrome of residents in suburban area.

• Journal of the Korean Society for Aviation and Aeronautics
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• v.24 no.2
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• pp.31-46
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• 2016

The purpose of this study is to examine the effects of human touch on turnover intention of ground handling employees at airport. Additionally, this study examines a comprehensive mediating effect of the work schedule and workload between human touch and turnover intention. To examine them, over 700 ground handling employees from six international airports of South Korea were surveyed using the simple random sampling method. The instrument for data collection was a questionnaire, and it was developed based on previous research results. The methodology adopted in this study is the structural equation modeling (SEM). According to SEM analysis, it was proven that both psychological and physical human touch have a significant effect on turnover intention of the employees. Work schedule played a mediating role among all three factors of human touch and turnover intention. However, workload has a mediating effect only between communication human touch and turnover intention. Based on the above findings, theoretical and practical implications are also discussed.

• Journal of Preventive Medicine and Public Health
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• v.22 no.2 s.26
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• pp.181-188
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• 1989

In this study an attempt was made to determine the factors affecting anemia in female industrial workers. The population was identified through the records of screening examinations given by Kosin Medical Center to the industrial workers in Sasang Industrial Complex during the period from March 1987 to October 1988. One hundred twenty eight cases were selected from the records screening examination of 155 anemic patients. A case-control study was carried out using matched 128 anemic cases and 128 non-anemic workers who were selected by simple random sampling. Age was matched, and their occupational history, general characteristics, physical characteristics and health status were analyzed. The results were; 1. In the anemic group, educational level was lower, and the frequencies of irregular menstruation and poor appetite were higher than in the control group but these differences were statistically not significant. 2. The percentage of workers working with organic solvents, working hours and years of service (total years exposed to organic solvents) were significantly higher in the anemic group than those in the control group. 3. A career exposed to organic solvents was more influential factor affecting anemia in the female industrial workers rather than menstruation amount of other factors, and it was statistically significant.

• Research in Community and Public Health Nursing
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• v.18 no.2
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• pp.331-339
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• 2007

Purpose: This study was conducted to identify correlations among internet games addiction (IGA), self-esteem and physical health in middle school students. Methods: A total of 428 middle school students were selected through simple random sampling. Data were collected from the $15^{th}$ to $30^{th}$ of March, 2006. Data were analyzed using SPSS/PC program by frequency, $\chi^2$-test, t-test, ANOVA, Duncan test, Pearson's correlation coefficient, and Stepwise Multiple Regression. Results: 1. According to the results of analyzing the degree of IGA, the addicted group was 1.9% 2. Analysis of IGA according to the general characteristics showed that there were statistically significant differences in on-line friend, using time and major leisure. 3. Analysis of physical health according to the general characteristics showed that there were statistically significant differences in on-line friend and off-line friend. 4. IGA was in a significantly negative correlation with self-esteem. 5. In the results of regression, using time was identified as a factor influencing the IGA. Conclusion: Considering the results above, we need to develop IGA prevention programs to enhance physical health and self-esteem and to control using time.

• Fashion & Textile Research Journal
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• v.11 no.4
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• pp.583-591
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• 2009

The purpose of this study was to examine the sportswear purchase decision factors and brand preference of college students. The subjects in this study were 614 college students who were selected by cluster random sampling from Daegu and North Gyeongsang Province. The collected data were analyzed by crosstab analysis, and the findings of the study were as follows: If a sportswear company has college students as a target market, first, the company needs to consider design and utility. Second, the company needs to expand internet sale while maintaining a strategy for centering on speciality shop and department store as for a sale of sportswear. Third, the college students themselves have a right of choice according to purchasing sportswear. Thus, a distribution company requires a direct marketing strategy targeting college students. Fourth, simple design of adding a fashion trend is needed. Fifth, the sportswear company needs to expand production and sale in jumpers and trousers based on T-shirts. Sixth, color in sportswear needs to be composed of design based on gray or black color. In order for a sportswear company to be adjusted to the global market environment here after, it requires an effort to continuously grasp consumers' trend and to apply new design and color. Also, the company will be able to be equipped with competitive edge by producing diversely functional products that are demanded by the segmented market.