• Journal of Korean Academy of Nursing
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• v.29 no.6
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• pp.1434-1444
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• 1999

The purpose of this study was to investigate the influence of job characteristics on the nurses' the moderating effect of locus of control on the job satisfaction and organizational commitment and relationship between job characteristics and attitude. The sample for this study consisted of 594 nurses from 8 university hospitals. Factor analysis, Cronbach's alpha analysis, multiple regression analysis and hierarchical multiple regression analysis were used for the statistical methods. The results of this study were found that (1) autonomy among 5 core job characteristics showed positive influence on job satisfaction, (2) task significance and autonomy among 5 core job characteristics had positive influence on organizational commitment, (3) the internals of locus of control moderated the effect of job characteristics on nurses' job satisfaction, and (4) internals and externals of locus of control moderated the effect of job characteristics on nurses' organizational commitment.

• Journal of the Korean Home Economics Association
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• v.36 no.10
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• pp.131-144
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• 1998

The purpose of this study was to examine the differences of symbolic consumption of adolescents, and the effects of demographic factors on the symbokic consumption in clothing. Data were administered to 957 adolescents in middle, high school, and college students living in Seoul, Chonju, Sunchon, Yousu, and Kwangyang from May to June 1997. For analysis of the data, factor analysis, t-test, one-way ANOCA, duncan's multiple range test, and multiple regression analysis were employed. The results of this study were summarized as follows. 1) Symbolic consumption in colthing were shown to have the significant differences accoding to age, gender, the level of urbanization, parent's education, father's occupation, social stratification groups. The higher the age, the level of urbanization, and parent's education, father's occupation, social stratification is, or the female, the higher is symbolic consumption in clothing. 2) According to the results of the regression analysis examining the rerlative influences of variables affecting symbolic consumption in clothing, the relative importance of the variables are in order of; income, gender, age, mother's education, residence, and their explanatory powere totalled 11.5%.

• Journal of Fisheries and Marine Sciences Education
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• v.22 no.1
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• pp.67-78
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• 2010

The purposes of this study are to analysis correlations of teachers' developments, organizational conflicts, and school organizational efficiency, and to test the influences of teachers' developments and organizational conflicts on school organizational efficiency. The data were collected from 240 elementary school teachers in Busan. Pearson's correlation analysis among sub-factors and stepwised multiple regression analysis were applied. The research findings are as follows: First, most of the sub-factors of teachers' developments, organizational conflict, and organizational efficiency had statistically significant correlations, showing positive correlation between sub-factors of teachers' developments and organizational efficiency and negative correlation between sub-factors of organizational conflicts and organizational efficiency. Second, through stepwised multiple regression analysis at the significance level of 5%, 'conflicts against administrator' was the most significant predictor with 31.4% explanation of the variance of organizational efficiency. These results suggest the necessity of training to promote teachers' developments and administrators' leadership.

• Journal of the Korea Society for Simulation
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• v.14 no.3
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• pp.43-54
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• 2005

For the effective design of automated distribution center composed of Automated Storage/Retrieval System, Automated Guided Vehicle System, and Conveyor System, we proposed an analysis method to determining. design and control parameters with multiple performance objectives using Compromise Programming, which can resolve the dilemma of conflicting objectives. The Evolution Strategy generates the optimal solutions for each objectives. The Analytic Hierarchy Process selects the best solution among the alternatives generated from Evolution Strategy. The Regression Analysis formulates the objective functions for each objectives. By reducing deviations between goal values and target values generated from Analytic Hierarchy Process, Compromise Programming determines design and control parameters by compromising the multiple objectives formulated using Regression Analysis. When the parameters of system are changed, this proposed analysis method has a benefit of reducing costs and time without repeating whole simulation run.

• Journal of the Korea Institute of Military Science and Technology
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• v.23 no.4
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• pp.426-434
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• 2020

This paper studies the impact of the maintenance time of anti-ship missile Harpoon on operational availability with real field data. The Harpoon maintenance simulation model is developed as a testbed for identifying the optimal inventory levels on operational availability. Using multiple linear regression analysis and integer programming, the optimal inventory levels of essential assemblies are suggested. Finally, the result of sensitivity analysis shows the quantitative impact of maintenance time on operational availability and inventory costs. The authors believe that this quantitative analysis can support policy decisions to decrease maintenance time of missiles.

• 한국방재학회:학술대회논문집
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• 2008.02a
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• pp.711-714
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• 2008

The objective of this study is to analyze the relationship between the watershed characteristics and the critical duration of design rainfall. For estimation of critical duration, adjustment Huff's method and ILLUDAS urban runoff model were applied to urban 21 areas. Watershed characteristics such as area, channel length, channel slope, shape factor, and pipe density were used to simulate correlation analysis. The conclusions of this study are as follows; it is revealed that critical duration is influenced by the watershed characteristics such as pipe density, area and channel length. Also, multiple regression analysis using watershed characteristics is carried out and the determination coefficient of multiple regression equation shows 0.972.

• Korea Journal of Hospital Management
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• v.26 no.4
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• pp.1-11
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• 2021

This study is to identify the relationship among work-life balance and turnover intention of nurses and examine the influence of work-family balance, work-leisure balance, work-grow balance on turnover intention of nurses. Data were collected from nurses working at five hospitals with more than 30 beds in Seoul and analyzed by descriptive statistics, t-test, ANOVA, Pearson's correlation analysis and multiple regression analysis using Jamovi(1.6.23) program. The final sample were made up of 247 participants. In the correlation analysis, work-life balance and turnover intention showed negative correlation. As a result of multiple regression analysis, work-grow balance affected as a meaningful influence factor on turnover intention. It is necessary to carefully examine the sub-factors of work-life balance in order to understand the impact on turnover intention of nurses. And, hospitals need to provide organizational support for nurses' growth and career development.

• Proceedings of the Korean Society of Agricultural Engineers Conference
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• 1999.10c
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• pp.387-392
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• 1999

In this paper, we attempted to eatablish questionnaire items for evaluation of residential satisfaction level by factor analysis, and the model was developed as a function of primary component of questionnaire items. For development of residential satisfaction model, items are selected by factor analysis adn regression coefficient is estimated by the multiple linear regression analysis.

• Journal of the Korean Society of Environmental Restoration Technology
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• v.4 no.2
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• pp.1-10
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• 2001

The purpose of this study was to investigate factors and variables which have significant effects on landscape satisfaction of urban pedestrian road in Bun-dang new town and to suggest basic information for urban pedestrian road design. These works consist of two phase. First, we tested the Hye-Cheon college students' degree of landscape satisfaction for 37 spots of urban pedestrian road and then selected 10 sports slide by the Sturges' formula. Second, we analysed factors and variables on landscape satisfaction of urban pedestrian road using the semantic differential scale method and then processed using descriptive analysis, factor analysis and multiple linear regression analysis. The major findings of this study can be summarized as follows; 1) The difference of landscape adjectives between the highest score of landscape satisfaction slide and the lowest score landscape satisfaction slide were diversity of vegetation, plenty of the shade of a tree, naturalness and cleanness. 2) Diversity of vegetation, width of road, freedom of danger and diversity of environment can be significant variables of major effects on landscape satisfaction of urban pedestrian road by using the multiple linear regression analysis. 3) Factors covering the landscape satisfaction of urban pedestrian road have been found to be Environment of urban pedestrian road and Constitution of urban pedestrian road. By using the Varimaxs' rotation factor analysis for the number of factors' cumulative percentage has been obtained as 64%. 4) Environment of urban pedestrian road and Constitution of urban pedestrian road can be significant factors of major effects on landscape satisfaction of urban pedestrian road by using the multiple linear regression analysis. In conclusion, the landscape satisfaction factors and variables of urban pedestrian road need to be considered in plan or design the urban pedestrian road.

• Journal of Korean Society for Atmospheric Environment
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• v.14 no.1
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• pp.11-23
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• 1998

The purpose of this study was to survey chemical distribution of inorganic elements and ions in the submicron particles, to characterize qualitatively emitting sources by factor analysis, and finally to reveal existing patterns in terms of chemical compounds by a stepwise multiple regression analysis. Total of 141 samples were collected by a cascade impactor from 1989 to1996. Fifteen chemical species (Al, Ba, Cd, K, Pb, Cu, Fe, Ni, $Cl^-, NO_3^-, SO_4^{2-}, K^+, Mg^{2+}, Ca^{2+}, and Na^+$) were characterized by AAS and IC. The study showed that average seasonal levels of submicron particulate matters $(d_p<0.43 \mum)$ were 18.7 $\mug/m^3$ in spring, 15.5 $\mug/m^3$ in summer, 15.7 $\mug/m^3$ in fall, and 24.5 $\mug/m^3$ in winter, respectively. All of the anion concentrations in the particle were highest in the winter season. By applying a factor analysis, 5 source patterns were qualitatively obtained, such as sulfate related source, nitrate related source, oil burning source, calcium related source, and coal combustion source. Finally, when applying a stepwise multiple regression analysis, the results clearly showed that $Na^+ and Ca^{2+}, K^+ and Ca^{2+}, NO_3^-$ and relative humidity, $Cl^-$ and ambient temperature, $Ca^{2+} and Cl^-, Mg^{2+} and SO_4^{2-}, Na^+ and NO_3^-, and Ca^{2+} and NO_3^-$, respectively, are negatively contributed to each other. As a result of those statistical analysis, we could suggest that some chemical compounds in the submicron particles such as$NaNO_3, MgSO_4, Ca(NO_3)_2, and CaCl_2$ may not exist on the filter as final composing products; however, other compounds may possibly exist in the form of $Mg(NO_3)_2, CaSO_4, Na_2SO_4, K_2SO_4, MgCl_2, NaCl, and KCl$. Thus, it must be necessary to identify differences between the results of above statistical analysis and of the real world by laboratory experiments.