• The Research Journal of the Costume Culture
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• v.17 no.3
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• pp.512-522
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• 2009

The purpose of this study is to analyze IT infrastructure of Korean apparel industry in order to enhance business effectiveness and customer's satisfaction in information society with global networks. For this study, the questionnaires were distributed to 57 apparel industries in Korea. The data were analyzed by factor analysis, descriptive statistics, Cronbach's alpha coefficient, multi regression analysis. The results of this study are as follow: First, Considering the apparel industry, construction of information system is essential for assistance of information policy and utilization of information. Understanding of e-business policy affects profits of suppliers. Second, Apparel industry with higher information policy has higher productivity with flexibility. Third, Apparel industry which has close relationship with suppliers has better customer support. Flexible scheduling and production line are important factors for quick response of customer's order and need.

• Communications for Statistical Applications and Methods
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• v.7 no.3
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• pp.885-897
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• 2000

The use of an unweighted mean and of separate tests is part of the current practice for analyzing interlaboratory studies, and we hope to improve on this method. We fit, using maximum likelihood(ML), a rather intricate, multi-parameter measurement model with the material's true value as a latent variable in a situation where quite serviceable regression and ANOVA calculations have already been developed. The model fit leads to both a weighted estimate of he overall mean, and to tests for equality of means, slopes and variances. Maximum likelihood tests for difference among variances poses a challenge in that the likelihood can easily becoem unbounded. Thus the major objective become to provide a useful test of variance equality.

• Journal of the Korean Data and Information Science Society
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• v.28 no.2
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• pp.435-442
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• 2017

Consider the problem of estimating a $p{\times}1$ mean vector ${\theta}$ (p ${\geq}$ 3) under the quadratic loss from multi-variate normal population. We find a James-Stein type estimator which shrinks towards the projection vectors when the underlying distribution is that of a variance mixture of normals. In this case, the norm ${\parallel}{\theta}-K{\theta}{\parallel}$ is known where K is a projection vector with rank(K) = q. The class of this type estimator is quite general to include the class of the estimators proposed by Merchand and Giri (1993). We can derive the class and obtain the optimal type estimator. Also, this research can be applied to the simple and multiple regression model in the case of rank(K) ${\geq}2$.

• Journal of Korean society of Dental Hygiene
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• v.22 no.5
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• pp.437-442
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• 2022

Objectives: In this study 54,848 people were selected as participants to investigate the relationship between oral health factors and eating habits education experiences of adolescents using raw data from the 17th (2021) online survey on adolescent health behavior. Methods: Data were collected using the IBM SPSS Statistics 21.0 statistical program was used. A multi-sample chi-square test was performed on the dietary education experience according to the general characteristics of the subjects. Logistic regression analysis was performed on factors affecting the eating habits education experience. Results: Eating breakfast and consuming fruits was more frequent among eating habits (p<0.001). Regarding factors influencing dietary habits education, in the case of eating habits education experience, sealant was 1.23 times higher (p<0.001), and tingling & throbbing were 0.93 times lower (p<0.01). Conclusions: Educating adolescents on correct eating habits is related to oral health, hence a school based oral health education program related to eating habits is necessary for adolescents.

• Health Policy and Management
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• v.27 no.4
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• pp.315-323
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• 2017

Background: This study was purposed to analyze the effect of spatial accessibility to the psychiatry department in general hospital on the outpatient visit of mental patients. Methods: Data was provided from the Statistics Korea and Statistical Geographic Information Service, National Health Insurance Service, Health Insurance Review and Assessment Service, and Korea Transport Institute in 2015. The study regions were 103 administrative regions such as Si and Gu. The 103 regions had at least one general hospitals with a psychiatry department. The number of outpatient visit of mental patients in regions was used as the dependent variable. Spatial accessibility to mental general hospital was used as the independent variable. Control variables included such as demographic, economic, and health medical factors. This study used network analysis and multi-variate regression analysis. Network analysis by ArcGIS ver. 10.0 (ESRI, Redlands, CA, USA) was used to evaluate the average travel time and travel distance in Korea. Multi-variate regression analysis was conducted by SAS ver. 9.4 (SAS Institute Inc., Cary, NC, USA). Results: Travel distance and time had significant effects on the number of outpatient visits in mental patients in general hospital. Average travel time and travel distance had negative effects on the number of visits. Variables such as (number of total population, percentage of aged population over 65, and number of mental general hospital) had significant effects on the number of visit in mental patients. Conclusion: Health policy makers will need to consider the spatial accessibility to the mental healthcare organization in conducting regional health planning.

• Journal of The Korean Society of Integrative Medicine
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• v.11 no.3
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• pp.35-47
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• 2023

Purpose : As the population aging deepens, the number of elderly people with arthritis is also continuously increasing. Accordingly, this study intended to identify the factors influencing the health-related quality of life (HINT-8) of the elderly with arthritis according to household type and provide baseline data for developing a measure to enhance the life quality of the elderly with arthritis. Methods : The factors influencing the health-related quality of life (HINT-8) of the elderly with arthritis were identified based on the raw data from the Korea national health and nutrition examination survey conducted in 2021. Data were analyzed with SPSS Statistics ver 25.0 for windows (IBM Corp), and the significance level (α) was set to .05. Statistical analysis was performed with t-test, ANOVA, multiple regression analysis, and post-hoc analysis with Duncan test. Results : The factors that influenced the health-related quality of life (HINT-8) of single-households were medical aid (β=-.17, p=.045), restriction of activity (β=-.17, p=.023), self-rated health status (β=.29, p<.001), and anxiety scale (β=-.36, p<.001). The factors that influenced the health-related quality of life (HINT-8) of multi-households were an age of 75 or over (β=-.14, p=.011), living in rural (β=-.14, p=.003), the outpatient department treatment experience (β=-.09, p=.047), self-rated health status (β=.26, p<.001), anxiety scale (β=-.29, p<.001), and stress (β=-.22, p<.001). Conclusion : Factors affecting the health-related quality of life (HINT-8) of the elderly with arthritis were found to be different between single-person households and multi-person household. Therefore, it is necessary to prepare measures to improve the quality of life of the elderly with arthritis by considering the factors influencing the health-related quality of life (HINT-8) of the elderly with arthritis according to the household type identified in this study.

• Journal of the Korean Society of Clothing and Textiles
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• v.28 no.910
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• pp.1341-1350
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• 2004

With the advent of the globalization trend of the industry, the enterprises in the fashion industry around the world have witnessed a surge in exports and foreign direct investment (FDI). Many fashion enterprises in each country, along with the multi-national enterprises, have engaged in global outsourcing of the production process in order to increase their global competitiveness, and have attempted to expand their commercial presence in the world market by entering into other foreign markets. Such market entry attempts have lead to the increase of FDI and trade by the fashion enterprises. This study attempts to examine the interactive relation between FDI and export/import of fashion products in different fashion industries both worldwide and in Korea. First, we will look into the relation between export/imports and FDI of each regional fashion industry, then expand the study to the relation between those two factors found in the fashion industry of Korea in general, and finally, to the relation between the two factors in the fashion industry of countries that are the major export nations of fashion goods into Korea. The data which this study is based on were collected from the International Trade Statistics Yearbook Vol. II (UN, 1991-2002, New York: UN), UNCTAD Handbook of Statistics (UN, 1996-2001, Vienna: UN), UNCTAD database, the archives of the Korea Federation of Textile Industry and the archives of the Export-Import Bank of Korea. The methods of analysis used in this study were correlation, regression, and descriptive statistics of the data. The result of this study showed that each fashion industry of different regions was subject to a diversity of effects. For one, the fashion industry in Korea showed a significant correlation between outbound investment and both export and import. On the other hand, the apparel industry in Korea showed a significant correlation between outbound investment and imports, but no such correlation between outbound investment and exports.

• Journal of health informatics and statistics
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• v.43 no.4
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• pp.255-266
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• 2018

Objectives: This study compared the risk of preterm birth and low birth weight between native-born and foreign-born women. Methods: By Using the birth registration data, every woman who gave birth between 2010 and 2016 in Korea was included in the analysis. Duration from marriage to pregnancy was measured by month and multiple socioeconomic and demographic characteristics were controlled. Preterm birth (<37 weeks) and low birth weight (<2.5 kg) were used for outcome variables. Descriptive statistics and logistic regression were used for data analysis with Stata. Results: The risks of preterm birth and low birth weight for native-born and foreign-born women differed according to the duration of marriage or birth order. For the first infant, foreign-born women were more likely to have pereterm birth or low birth weight than the native-born in the early stage of marriage but nativeborn women had higher risks than the foreign-born in the middle and later stage of marriage. For the second infant, foreign-born women were less likely to have pereterm birth or low birth weight than the native-born regardless of the duration of marriage. Conclusions: The results of this study demonstrates that the risk of preterm birth and low birth weight for foreign-born women is concentrated on the early stage of marriage. Institutional and cultural supports should be given to foreign-born women to help their early settlement in the Korean society.

• Journal of the Korean Data and Information Science Society
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• v.24 no.2
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• pp.267-275
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• 2013

Among data mining techniques, the association rule is the most recently developed technique, and it finds the relevance between two items in a large database. And it is directly applied in the field because it clearly quantifies the relationship between two or more items. When we determine whether an association rule is meaningful, we utilize interestingness measures such as support, confidence, and lift. Interestingness measures are meaningful in that it shows the causes for pruning uninteresting rules statistically or logically. But the criteria of these measures are chosen by experiences, and the number of useful rules is hard to estimate. If too many rules are generated, we cannot effectively extract the useful rules.In this paper, we designed a variety of non-linear regression equations considering all association thresholds between the number of rules and three interestingness measures. And then we diagnosed multi-collinearity and autocorrelation problems, and used analysis of variance results and adjusted coefficients of determination for the best model through numerical experiments.

• Journal of Convergence for Information Technology
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• v.9 no.10
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• pp.28-38
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• 2019

The purpose of this study was to identify factors influencing nursing performance of nurses in general hospitals. The participants were 251 nurses working in general hospitals in B city. SPSS/WIN 23.0 was used for analysis with descriptive statistics, t-test, ANOVA, $Scheff{\acute{e}}$ test, Pearson correlation coefficients and multiple regression. The result of the multiple regression indicates self-leadership(${\beta}=.43$, p<.001), total clinical career(${\beta}=.26$, p<.001), job satisfaction(${\beta}=.14$, p=.010), and annual self-development activity count(${\beta}=.10$, p=.049) were associated with nursing performance. These factors accounted for 38.5% of the total variance in nursing performance. Considering the results of this study, multi-dimensional programs to improve self-leadership and job satisfaction should be developed and implemented in order to foster nursing performance in clinical practice.