• Title/Summary/Keyword: influencing variables

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Public's Attitude to Organ Transplants and Factors Influencing Attitudes (장기이식에 대한 일반인의 태도 및 영향요인)

  • Shon Young-Hee;Cho Chung-Min
    • Journal of Korean Academy of Fundamentals of Nursing
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    • v.9 no.2
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    • pp.279-287
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    • 2002
  • Purpose: This study was done to Identify attitude and factors influencing attitudes to organ transplants. Method: Study participants were 165 people over the age of 18 and living in Seoul. The instrument used for this study was the descriptive questionnaire developed by Ju (1995). Analysis of the data was done with SPSS Win 10.0 with descriptive statistics. t-test. ANOVA and stepwise multiple regression. Results : 1. The scores on attitude toward organ transplants ranged from 14 to 70. and had a mean score of 49.26. There were statistically significant differences in scores on attitude to organ transplants according to age (p= .03). marital status (p= 00), monthly income (p=.02) and experience of having education about organ transplants (p= .00). 2. The factors influencing attitudes to organ transplants were having the experience of education on transplants and marital status. These two variables explained 20.1% of the variance. 3. Reasons given for no written pledge to donate one's organs were 'fear on organ donation', 'not knowing the way of' how to do'. 'plan to give my organs to a family member when needed'. 'physical condition' and 'religious belief'. Conclusion: Experience with education for organ transplant and marital status were identified as important variables in attitudes to organ transplants.

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Factors Influencing Subjective Quality of Life in Male Baby Boom Generation Men (베이비붐 세대 남성의 주관적 삶의 질 영향요인)

  • Kim, Hee Sook;Yu, Kwang Za
    • Research in Community and Public Health Nursing
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    • v.24 no.4
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    • pp.461-470
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    • 2013
  • Purpose: This study examined factors influencing subjective quality of life in baby boom generation men. Methods: This was a descriptive survey study. Data were collected from 279 baby boom generation men from September to October 2012. The instruments used included a subjective quality of lifescale, a self-esteem scale, a spiritual well-being scale, a communication with spouse scale, a social support scale, and a job satisfaction scale. Data were analyzed using descriptive statistics, t-test, one-way ANOVA and Scheff$\acute{e}$ test, Pearson's correlation coefficients, and Hierarchical multiple regression. Results: All variables were positively correlated with subjective quality of life. As a result, factors influencing subjective life of quality were self-esteem (${\beta}$=.21, p<.000), social support (${\beta}$=.20, p<.002), job satisfaction (${\beta}$=.19, p<.001), communication with spouse (${\beta}$=.15, p<.004), spiritual well-being( ${\beta}$=.16, p<.004), and family income (${\beta}$=.15. p<.023). These factors accounted for 61% of the total variances. Conclusion: The findings indicate a need to develop nursing intervention programs for community health nurses in consideration of these variables to improve the subjective quality of life for baby boom generation men.

Factors Influencing Self-Directedness in Learning of Nursing Students (간호대학생의 학습에 대한 자기주도성 영향요인)

  • 오원옥
    • Journal of Korean Academy of Nursing
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    • v.32 no.5
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    • pp.684-693
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    • 2002
  • This study was conducted to detect the correlations and the main factors influencing self-directedness in learning of nursing students. Method: The samples were composed of 224 nurse students who were from three nursing department in Seoul, Chungnam & Kyunbook. The reliability of 4 instruments was tested with Cronbach's $\alpha$ from .63 to .86. The data was analyzed using a SAS program for descriptive statistics, Pearson correlation coefficients and stepwise multiple regression. Result: The results were as follows: 1. The mean self-directedness score was 91.23 which was slightly high. The self-directedness in learning was influenced significantly by grade, perception of self-level, self-study in majoring and self-study except for majoring(F= 3.33-7.14, p<.05). 2. There were significant correlations between all the predictive variables and the self-directedness(r=.27-48, p<.01). 3. Stepwise multiple regression analysis showed that 35% of the self-directedness in learning of nursing students were significantly explained by self-esteem(23%), locus of control(6%), self-study except for majoring(2 kind, 2%), self study in majoring(good, 2%), and self-study except for majoring( above 3 kind, 2%). Conclusion: Based upon these findings, sociopsychological variables like self-esteem and locus of control are very important factor influencing self-directedness in learning of nursing students.

Factors Influencing Vitality among Nurses (간호사의 생동성에 영향을 미치는 요인)

  • Lee, Ji-Soon;Oh, Won-Oak
    • Journal of Korean Academy of Nursing
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    • v.37 no.5
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    • pp.676-683
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    • 2007
  • Purpose: This study was conducted to understand the degree of vitality, meaning in life and self-efficacy and to elucidate the factors influencing this vitality in the nurses of Korea. Method: A cross-sectional survey of nurses from 4 hospitals was conducted by convenience sampling. Data collection was conducted through the use of questionnaires which were constructed to include a Vitality Self Test, Purpose in Life Test and Self-efficacy Scale. Results: The degree of vitality in nurses was in the middle range. The nurses of this study had few goals towards meaning in life, and an existential vacuum state. A positive relationship was found between vitality and the research variables. The significant predictors influencing vitality in nurses were meaning in life, self-efficacy, and clinical career, and these variables accounted for 28.7% of the variance in vitality. Conclusions: This results support that vitality is an important link with meaning in life and self-efficacy. There should be a comprehensive study in the future for in-depth understanding of the vitality of nurses.

A Study on Factors Influencing the Appraisal of Uncertainty in Patients having Rheumatoid Arthritis (류마티스 관절염 환자의 불확실성 인지에 영향을 주는 요인 탐색)

  • Yoo, Kyoung-Hee
    • Journal of muscle and joint health
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    • v.4 no.2
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    • pp.277-296
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    • 1997
  • This study was conducted to investigate the influencing factors on the appraisal of uncertainty in patients having rheumatoid arthritis. Subjects of the study constituted 528 patients who visited outpatient clinics of two university hospitals and one general hospital in Seoul. Self report questionnaires were used to measure the variables influencing the appraisal of uncertainty. Reliability coefficients of these instruments were found Cronbach's Alpha=$.70{\sim}.96$. In data analysis, SPSS PC 6.0 program was utilized for descriptive statistics, Pearson's correlation, logistic and multiple regression analysis. The results of logistic and multiple regression analysis were as follows 1) Among the independent variables, significant factors to explain the appraisal of uncertainty in patients were uncertainty(p<.001), severity of illness(p<.05), educational level (p<.05) and age (p<.05). 2) When patients appraised uncertainty as "Danger", significant factors to explain the appraisal of uncertainty were uncertainty(p<.0001), age(p<.0005), severity of illness(p<.001), educational level (p<.05). 3) When patients appraised uncertainty as "Opportunity", significant factors to predict the appraisal of uncertainty were uncertainty(p<.0005), social support(p<.0005), severity of illness(p<.005), credible authority(p<.05), age(p<.05) and educational level (p<.05).

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Comparison of Factors Affecting Perceived and Objective Dental Needs

  • Ahn, Eunsuk;Han, Ji-Hyoung;Kim, Ki-Eun
    • Journal of dental hygiene science
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    • v.19 no.3
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    • pp.147-153
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    • 2019
  • Background: With increased interest in oral health, several efforts have been made to improve oral health conditions. To achieve this, needs for oral health must be precisely determined and accurately measured. Therefore, factors influencing both objective unmet dental needs, which were determined by experts, and perceived unmet dental needs, which were determined by patients, were examined in this study. Methods: Responses of 17,735 respondents aged greater than 19 years from the Korean National Health and Nutrition Survey collected using the fifth (2010~2012) rotation sample survey were analyzed. Based on the information collected from the survey and dental examination, we determined the associations between the independent (sex and socioeconomic level) and dependent variables using a chi-squared test. Moreover, ordinal logistic regression analyses on multiple categorical values were performed using perceived and objective dental needs as the dependent variables. Results: Generally, factors influencing both perceived and objective dental needs were similar. These included sex, household income, educational level, private insurance, and subjective oral health status. However, the high-income groups had lesser perceived and objective dental needs compared to the low-income groups. Furthermore, factors such as sex, educational level, and marital status had different influence on both needs. Conclusion: Generally, factors that affect perceived and objective dental needs were similar. To minimize unmet dental needs, factors influencing both perceived and objective dental needs should be examined for a broad dental insurance coverage, and efforts to prevent oral diseases are also required.

PRODUCTIVITY PREDICTION MODEL BASED ON PRODUCTIVION INFLUENCING FACTORS: FOCUSED ON FORMWORK OF RESIDENTIAL BUILDING

  • Byungki Kwon;Hyun-soo Lee;Moonseo Park;Hyunsoo Kim
    • International conference on construction engineering and project management
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    • 2011.02a
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    • pp.58-65
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    • 2011
  • Construction Productivity is one of the most important elements in construction management. It is used in construction process scheduling and cost management, which are significant sector in construction management. It is important to make appropriate schedule and monitor how works are done within schedule. But construction project contains uncertainty and inexactitude, modifying construction schedule is being an issue to manage construction works well. Even though prediction and monitoring of productivity can be principal activity, it is hard to predict productivity with manager's experience and a standard of estimate. A large number of factors influencing productivity, such as drawing, construction method, weather, labor, material, equipment, etc. But current calculation of productivity depends on empirical probability, not consider difference of each influencing factor. In this research, the aim is to present a productivity predicting regression model of form work, which includes effectiveness of influences factors. 5 variables existed inside form work are selected by interview and site research based on literature review of existed various productivity influencing factors. The effectiveness and correlation of productivity influencing factors are analyzed by statistical approach, and it is used to make productivity regression model. The finding of this research will improves monitoring and controlling of project schedule in construction phase.

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Farmers' Educational Performance Influencing Educational Satisfaction (농업인 교육만족과 교육성과 간의 영향관계 분석)

  • Kim, Sa-Gyun
    • Journal of Agricultural Extension & Community Development
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    • v.25 no.2
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    • pp.85-97
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    • 2018
  • This study aims to investigate the farmer's educational performances Influencing educational satisfaction. In general, the goal of agricultural education is to increase farm performance such as income, sales and perceptions. A survey was used to collect data from 588 farmers to the country extension office. The results of the analysis are as follows. The variables that have a significant effect on satisfaction in this study are as follows. interaction between instructors and farmers, passion of instructors, effectiveness of lectures, educational support, and educational facilities. However, the adequacy of the lecture and the diversity of the contents of education did not explain the satisfaction variable. Discussions on the improvement of farmers' education were made by considering the rejected variables. In conclusion, farmers' education in the field should secure educational diversity. And farmer's education in RDA should develop a new curriculum. Farmer's education in RDA should further strengthen the informal learning.

Behavior Analysis of Eccentrically Loaded Restrained Reinforced Concrete Slender Columns (편심축하중을 받는 구속 RC장주의 거동 해석)

  • Park, Jai Oun;Choung, Kyoung Hee
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.10 no.4
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    • pp.11-24
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    • 1990
  • The effect of end restraints for adjoining members is the different variables influencing the column ultimate strength and the behavior. The propose of this study is to analyze eccentrically loaded reinforced concrete columns with the end restraind effect having rectangular cross-section and general boundary conditions. Accordingly, this investigation are to construct a typical analytical model of the reinforced concrete columns with general end boundary conditions. The mechanical components of the analytical model are to be rationally defined the actual behavior as possible, and the different variables influencing the behavior and the ultimate strength of the reinforced concrete columns are investigated by using a parametric study.

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The Comparison of Average Cost Per Student for Training and Influencing Variables in Library Schools -Descriptive and Inferential Statistics- (도서관학과 학생 1명당의 교육 비용과 영향을 미치는 요소의 비교 분석)

  • Ahn, In-Ja
    • Journal of the Korean Society for information Management
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    • v.8 no.2
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    • pp.74-95
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    • 1991
  • The purpose of this paper is to study to the nature and function of scientific inquiry and research methods, particularly as they apply to the influencing factors in library schools. For the variables used, they are the average cost per student for training, the total percentage placement in library and library-related work, the average salary for year, and the type of schools. In interpreting data using, t -test analysis of correlation and regression are applied.

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