• The Journal of the Korea institute of electronic communication sciences
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• v.10 no.1
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• pp.117-124
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• 2015

This study explored the determinant variables of physical health of the high school students in Korea. Specifically, it explored how the sociodemographic characteristics factor, school factor, delinquent behaviors factor of the students affect their physical health using the 2012 Korean Youth Health Risk Behavior On-line Survey. Using the case of 36,889, this study conducted frequency analysis, t-test, F-test, and multiple regression analysis. As the result of total multiple regression analysis, gender, father's educational level, sibling(s), economic status, grade, academic record, problem drinking, drug use were statistically significant determinant variables of physical health of the high school students in Korea. Also, it delivered some implications for enhancing their physical health.

• Journal of Preventive Medicine and Public Health
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• v.36 no.2
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• pp.125-130
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• 2003

Objectives : This study evaluated the stress of community residents using the General Health Questionnaire, GHQ-60, as an instrument of stress measurement. Methods : The study included 2100 residents, aged 20 and over, living in three areas, a large city, a medium sized city and a rural area, between June and September 2001. A questionnaire interviewing method was used to collect data. The data were analyzed using a t-test, ANOVA, Pearson's correlation coefficients and multiple regression analysis. Results : In this study, the degree of stress, as measured by the GHQ-60, was shown to be significantly higher in the following categories: females, people over 60 years old, people engaged in the primary industries and labor work, low incomes, the divorced and the bereaved, people who received no more than an elementary education, people who suffer from chronic diseases and non-exercisers. A factor analysis suggested that there were three factors of social dysfunction factors; psychosomatic symptom, and depression and anxiety, The social dysfunction factors was statistically significant for the groups described above. The factor of psychosomatic symptoms was statistically significant in the rural residents, and in the groups describedabove. The depression and anxiety factor was statistically significant in the large city residents, people aged between 20-29 years, students, unmarried persons, university graduates and those having suffered from chronic diseases. From the multiple linear regression analyses, chronic disease, exercise, gender and income, proved to be significant stress related factors Conclusions : This study suggests that special attention should be given to the management of the chronic invalided, non-exercisers, females and snail income earners, in order to maintain and promote the psychological health of residents in a community.

• Fire Science and Engineering
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• v.28 no.2
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• pp.69-75
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• 2014

This study derives the factors which affect the occurrence of arson from statistical data (population, economic, and social factors) by multiple regression analysis. Multiple regression analysis applies to 4 forms of functions, linear functions, semi-log functions, inverse log functions, and dual log functions. Also analysis respectively functions by using the stepwise progress which considered selection and deletion of the independent variable factors by each steps. In order to solve a problem of multiple regression analysis, autocorrelation and multicollinearity, Variance Inflation Factor (VIF) and the Durbin-Watson coefficient were considered. Through the analysis, the optimal model was determined by adjusted Rsquared which means statistical significance used determination, Adjusted R-squared of linear function is scored 0.935 (93.5%), the highest of the 4 forms of function, and so linear function is the optimal model in this study. Then interpretation to the optimal model is conducted. As a result of the analysis, the factors affecting the arson were resulted in lines, the incidence of crime (0.829), the general divorce rate (0.151), the financial autonomy rate (0.149), and the consumer price index (0.099).

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2005.06a
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• pp.1273-1276
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• 2005

A displacement magnification mechanism is usually employed in a nano-positioning stage to achieve a large stage motion. A lever mechanism is the most widely used displacement magnifying mechanism. For more large stage motion, double or multiple lever mechanisms can be used. In this case, a more accurate analysis model is needed. This study proposes a more reasonable analysis model for a multiple lever mechanism based on the single lever mechanism model. This paper describes that the high equivalent stiffness of the lever is the most important factor reducing the magnification ratio of the lever mechanism through increasing the deflection of the link and including the axial displacement of the pivot.

• Journal of Fashion Business
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• v.20 no.3
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• pp.54-67
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• 2016

The purpose of this study was to investigate the The effect of fashion consumer's need for uniqueness in their clothing purchase behavior and switching intention. A total of 332 cases were included as the subjects of this study and a survey method was used. The data were analyzed by factor analysis, reliability analysis, t-test and multiple regression analysis using the SPSS 22.0 statistical program. The results were as follows. 1. The 3 dimensions (creative choice, unpopular choice, and avoidance of similarity) were extracted from the consumer's need for uniqueness and consumer divided high uniqueness group, middle uniqueness group, low uniqueness group. 2. The 3 factor (esthetic, functional, practical) were extracted from the clothing selection criteria. The three group had a significant difference in clothing selection and switching intention. Aesthetic factor and practical factor were the highest in high uniqueness group. 3. The need for uniqueness has influence on the aesthetic factor and practical factor. The creative choice factor had positive effect on the aesthetic and practical factor, yet unpopular choice factor had negative effect on the practical factor. The need for uniqueness and aesthetic factor has positive influence on brand switching intentions. 4. There was difference in unpopular choices factor by gender. A monthly average expenditure on fashion products had a significant difference in three kind of need for uniqueness. Results of this study provide a basis understand need for uniqueness and their effect on consumer behavior.

• Wind and Structures
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• v.17 no.2
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• pp.227-244
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• 2013

Non-stationary extreme winds such as thunderstorm downbursts are responsible for many structural damages. This research presents a time domain approach for estimating along-wind load effects on tall buildings using multiple wind speed time history samples, which are simulated from evolutionary power spectra density (EPSD) functions of non-stationary wind fluctuations using the method developed by the authors' earlier research. The influence of transient wind loads on various responses including time-varying mean, root-mean-square value and peak factor is also studied. Furthermore, a simplified model is proposed to describe the non-stationary wind fluctuation as a uniformly modulated process with a modulation function following the time-varying mean. Finally, the probabilistic extreme response and peak factor are quantified based on the up-crossing theory of non-stationary process. As compared to the time domain response analysis using limited samples of wind record, usually one sample, the analysis using multiple samples presented in this study will provide more statistical information of responses. The time domain simulation also facilitates consideration of nonlinearities of structural and wind load characteristics over previous frequency domain analysis.

• Journal of muscle and joint health
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• v.5 no.2
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• pp.206-221
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• 1998

The purpose of this study was to validate translated Multidimensional Assessment of Fatigue(MAF) scale. The scale is a 16-item scale that measures four dimensions of fatigue : severity, distress, impact, timing. Fourteen items are numerical rating scales and 2 items have multiple choice responses. Data were collected from the 137 patients with rheumatoid arthritis after content validation. Criterion validity was tested by correlation coefficient with Piper Fatigue Scale, which resulted in 0.7573(p<.0000). Construct validity was tested by item analysis and factor analysis. Corrected item-total correlation coefficients were 0.63-0.88. And factor analysis showed 2 factors : fatigue degree factor and fatigue impact factor. These two factors explained 73.5% of total variance. Reliability of internal consistency was 0.96 in Cronbach's alpha. Further validation study is necessary in each factor in other settings with other subjects.

• Journal of the Korean Home Economics Association
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• v.30 no.2
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• pp.171-187
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• 1992

The purpose of this study is to investigate personality adaptation factors related to life satisfaction of the aged. Personality adaptation factors were classified into four factors(The active-intergration, The dependent-passivity, The failing-overaboundance, The self-negativity). The hypothesises of this study are as follow : (1) Personality adaptation factors can be predited by demographic variables and family environmental variables. (2) Life Satisfaction can be predited by demogaphic variables and family environmental variables. (3) Each personality adaptation factors will be correlated with life satisfaction. For the test of hypothesises, Questionnaries were given to the randomly selected 332 persons over age 60 in Pusan. Questionnaries consist of 4 parts. These are demographic part, family environment part, personality adaptation factor part, and life satisfaction part. The data collected were analyzed by satistical methods such as Case, Percentage Factor Analysis, Multiple Regression Analysis, and Pearson's Correlation. According to the results of the analysis of this study, primary, personality adaptation factor is decided by personal problem. But, this personality adaptation factor of the aged is affected by family environment. Particulary, in the results of the study, frequent communication with their family is more important than physical solidary.

• Journal of Navigation and Port Research
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• v.30 no.7
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• pp.579-583
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• 2006

The purpose of this paper is to study a relationship between alliance success factors and performances of strategic alliance. In order to achieve the purpose of this research, factor analysis, reliability and validity and regression method are used. In conclusion, alliance success factors can be divided as mutual complementarity and information sharing factor, sharing and mutual agreement of vision and goal factor, performance management factor and culture and organization factor. According to regression results, all of four factors affects significantly dependent variables. Among them, mutual complementarity and information sharing mostly affects each dependent variable.

• Culinary science and hospitality research
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• v.12 no.2 s.29
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• pp.1-17
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• 2006

This study is to develop a viable measurement tool of crowdedness in restaurants. First, to measure customer’s awareness of crowdedness related to each different environmental factor in a restaurant, 49 factors of crowdedness awareness were selected based on the previous studies and then properties of each factor affecting customer’s satisfaction for crowdedness were analyzed. To analyze effects of each factor upon the satisfaction rate, a Multiple Regression Analysis was conducted with the crowdedness awareness as an independent variable and satisfaction of crowdedness as a dependent variable. The results showed that when an analysis of the environmental factors in the crowdedness awareness was conducted in an effort to develop a measurement tool of crowdedness awareness in restaurants, that would be fit for the domestic food service market, based upon 49 factors of restaurant environment. Focusing on expectation and satisfaction rate, it was found that rating the satisfaction level would be a much more effective tool to measure crowdedness awareness because satisfaction rate appeared to be more closely related to the awareness than the results obtained from the Multiple Regression Analysis with a difference between expectation and satisfaction scores as an independent variable.