• Journal of the Economic Geographical Society of Korea
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• v.20 no.2
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• pp.173-188
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• 2017

This paper aims to analyze the effects of the residential area and personal characteristics of households on the preference of residential location factors. The main results of this study are as follows. Firstly, considering the results of multiple regression analysis, it can be seen that preference of location factors is differentiated according to the residential area and personal characteristics of households by individual location factors. Secondly, considering the results of binomial logistic regression analysis, it can be also elucidated that the preferred location factors are differentiated according to the residential area and personal characteristics of the households. Therefore, it is judged that the residential area and personal characteristics of household and the location factors of the household are mutually influencing each other.

• Communications for Statistical Applications and Methods
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• v.19 no.2
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• pp.293-301
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• 2012

Quantile regression proposed by Koenker and Bassett (1978) is a statistical technique that estimates conditional quantiles. The advantage of using quantile regression is the robustness in response to large outliers compared to ordinary least squares(OLS) regression. A regression tree approach has been applied to OLS problems to fit flexible models. Loh (2002) proposed the GUIDE algorithm that has a negligible selection bias and relatively low computational cost. Quantile regression can be regarded as an analogue of OLS, therefore it can also be applied to GUIDE regression tree method. Chaudhuri and Loh (2002) proposed a nonparametric quantile regression method that blends key features of piecewise polynomial quantile regression and tree-structured regression based on adaptive recursive partitioning. Lee and Lee (2006) investigated wage determinants in the Korean labor market using the Korean Labor and Income Panel Study(KLIPS). Following Lee and Lee, we fit three kinds of quantile regression tree models to KLIPS data with respect to the quantiles, 0.05, 0.2, 0.5, 0.8, and 0.95. Among the three models, multiple linear piecewise quantile regression model forms the shortest tree structure, while the piecewise constant quantile regression model has a deeper tree structure with more terminal nodes in general. Age, gender, marriage status, and education seem to be the determinants of the wage level throughout the quantiles; in addition, education experience appears as the important determinant of the wage level in the highly paid group.

• Journal of Korean Biological Nursing Science
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• v.25 no.4
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• pp.295-305
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• 2023

Purpose: This study compared health behaviors and health-related clinical characteristics between individuals with normal glucose levels without diabetes and those with undiagnosed diabetes. Factors that were associated with undiagnosed diabetes were identified by sex. Methods: This was an observational study with a cross-sectional design based on data from the eighth Korea National Health and Nutrition Examination Survey, which used a stratified, multi-stage, cluster-sampling design to obtain a nationally representative sample. Multiple logistic regression analysis was employed to compute the odds ratios of health behaviors and clinical characteristics to identify risk factors for undiagnosed diabetes. Results: The overall prevalence of undiagnosed diabetes was 5.2% (weighted %, n = 700, p < .001). Among individuals with undiagnosed diabetes, 58.3% were men. Univariate logistic regression for undiagnosed diabetes identified sex, age, house income, educational level, and triglycerides as influencing factors. In multiple logistic regression by sex, the factors associated with undiagnosed diabetes in men were age, perceived health status, a diagnosis of angina, and triglycerides. Conclusion: Strategies should be targeted to improve health behaviors and clinical characteristics for specific age groups, men in bad perceived health status, women with high systolic blood pressure, and high triglycerides. Moreover, healthcare providers should understand the barriers to health behaviors and health-related quality of life to effectively deliver healthcare services.

• Journal of the Society of Disaster Information
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• v.16 no.3
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• pp.594-601
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• 2020

Purpose: The purpose of the present study was to identify factors affecting anxiety about disaster damage potential in Gyonggi-do and evacuation behavior that influences evacuation behavior. Method: Multiple regression analysis was performed to test the hypothesis and to analyze the influence of anxiety about disaster damage potential and perceived stress, and analyzed similarity in correspondence between age and anxiety about disaster damage potential. Results: The anxiety about disaster damage potential of a group vulnerable to safety and anxiety about disaster damage potential of disaster system collapse were perceived in close proximity. Disaster system collapse, evacuation life, and natural disasters were found to be factors affecting perceived stress. Stress and natural disasters were found to be influencing factors on evacuation behavior. Conclusion: The necessity of managing stress was confirmed since anxiety about natural disaster damage potential and stress affect evacuation behavior. The recent experiences of heavy rain disasters indicate that the anxiety about disaster damage potential is expected to increase. The findings also indicate the importance of preventive planning and psychological management to manage the anxiety about disaster damage potential.

• Journal of Digital Convergence
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• v.16 no.4
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• pp.231-249
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• 2018

The purpose of this study is analyze the factors affecting the standard precaution(SP) performance on the knowledge, awareness, attitude and safety environment for SP of healthcare workers of general hospitals. The research method was a descriptive research study. The subject were 262 of healthcare workers of general hospitals. The data were analyzed using descriptive statistics, t-test, Chi-square test, ANOVA, Person's correlation coefficient and Multiple regression analysis using the SPSS program. As a result of the correlation analysis SP Performance was positively correlated with attitude (r=.18, p=.003), safety environment (r=.42, p<.001) and awareness (r=.63, p<.001). As a result of the stepwise multiple regression analysis on the factors influencing SP performance were SP awareness and safety environment. Therefore, in order to improved performance of SP, it's important to improve a awareness and safety environment of SP. Different and persistent infection management educational programs that consider the occupational characteristics and monitoring are required.

• Ecology and Resilient Infrastructure
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• v.5 no.4
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• pp.276-284
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• 2018

In order to analyze sediment transport characteristics of knickpoint migration, sediment transport length, and sediment transport weight through the under-flow type vertical lift gate, the hydraulic model experiment and dimensional analysis were performed. The correlations between Froude number and sediment transport characteristics were schematized. The multiple regression formulae for sediment transport characteristics with non-dimensional parameters were suggested. The determination coefficients of multiple regression equations appeared high as 0.618 for knickpoint migration, 0.632 for sediment transport length, and 0.866 for sediment transport weight. In order to evaluate the applicability of the developed hydraulic characteristic equations, 95% prediction interval analysis was conducted on the measured and the calculated by multiple regression equations, and it was determined that NSE (Nash-Sutcliffe Efficiency), RMSE (root mean square), and MAPE (mean absolute percentage error) are appropriate, for the accuracy analysis related to the prediction on sediment transport characteristics of kickpoint migration, sediment transport length and weight.

• Journal of the Korean Institute of Landscape Architecture
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• v.42 no.6
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• pp.50-59
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• 2014

This experiment was performed in order to study the relationship between physical properties of soil and the growth characteristics of Sedum reflexum. A correlation analysis and multiple regression analysis were performed using SPSS Ver 19.0 for Windows. The multiple regression analysis results of soil physical properties and growth characteristics were as follows. The regression equation: The length=$.993-14.070^*$(soil bulk density)+$.233^*$(solid phase)+$.038^*$(liquid phase)+$.068^*$(permeability). The significance of soil bulk density and solid phase was great. The width=$2.931-33.925^*$(soil bulk density)+$.566^*$(solid phase)+$.206^*$(liquid phase)+$.027^*$(permeability). The significance of soil bulk density and solid phase was great. The wet weight and dry weight of the upper and lower and soil physical properties did not have a direct relationship.

• Journal of the Korea Society of Computer and Information
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• v.16 no.10
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• pp.229-239
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• 2011

This study aims to suggest profitability models of local cultural festival to be a focal point of local culture to overcome the abuses as an annual event led by the local government agencies have been in force in every local areas currently, to elicit the local residents' voluntary participation and to engage the outside tourists in connection of a more effective promotion and marketing. The festival is attractive to people with that provoke mirth and inspire curiosity, but the festival is not a one-time event ongoing maintenance enlarge: It is absolutely necessary in order to effort to reach at consumer-oriented quality of service. Also this research intends to present a activation scheme by developing profitability models to make profits while holding a number of risks taking into account the characteristics of the local festival service carried out. To this end, based on established research, leading indicator and expert opinion were analyzed through multiple regression analysis.

• Korean Journal of Food Science and Technology
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• v.31 no.3
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• pp.778-787
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• 1999

This study was conducted to standardize the quality of sigumjang. The characteristic of producing method for sigumjang had smoking step. The major component of the amino acids of sigumjang was proline followed by valine, glutamic acid and alanine. Among the organic acids, only acetic acid and propionic acid were detected. The sugar component of sigumjang was composed of glucose predominantly, followed by maltose and fructose. The relation between taste components and sensory scores was analyzed by method of multiple regression analysis. Correlation between contents of taste components and sensory scores were significantly low. Among components of sigumjang inositol and fructose had the higest correlation with sensory scores. The result of multiple regression analysis, taste of sigumjang was explained about 90% with 16 taste components in case of relative value transformed with logarithm and 17 taste components in case of absolute value.

• The Journal of Korean Medicine
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• v.35 no.4
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• pp.52-64
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• 2014

Objectives: This study aimed to investigate the relationship among perceived health status, dietary habit and health promoting behaviors of university students. Methods: The subjects were 464 university students. Data were collected by using self-reported questionnaires. The results were analyzed using descriptive statistics, t-test, ANOVA, Pearson's correlation coefficient and multiple regression analysis with the PASW 18.0 program. Results: The mean score of perceived health status was 3.24, dietary habit was 2.85 and health promoting behaviors was 2.24. There were significant differences in perceived health status according to gender, BMI, exercise and stress. There were significant differences in dietary habit according to residence, monthly allowance, drinking alcohol, exercise, sleeping hours and stress. In addition there were significant differences in health promoting behaviors according to gender, residence, BMI, smoking and exercise. Also, perceived health status significantly positively correlated between dietary habit and health promoting behaviors. Conclusions: As the results of multiple regression analysis, the related factors of perceived health status of university students were exercise, stress and spiritual growth factor. Therefore, it is necessary to develop multiple health promoting programs considering characteristics of university students. And various strategies have been developed to increase the physical activity should be run.