• 제목/요약/키워드: Decision factor

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부모 지지와 고등학생 진로발달과의 관계 연구 - 일반계, 산업정보계, 실업계의 비교 - (A Study on the Relationship between Parental Support and Senior High School Students' Career Development)

  • 이광자;김순옥
    • 가정과삶의질연구
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    • 제23권5호
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    • pp.1-14
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    • 2005
  • The purpose of this study is to examine the relationship between parental support and senior high school students' career development. For this study, the data was gathered from 1,468 students in 15 classes(different divisions) at 9 high schools (3 Academic high schools, 3 Industrial technology schools, 3 Vocational high schools) in Seoul. The results of the study were as follows: 1. There is significant difference, statistically, in the relation between parental support and career development by gender. 2. As for the division factor, the recognition level of parental supports was higher in girls than in boys and the average of their career development level was also higher. 3. As for the division factor, the recognition level of parental supports was most highest in academic high school students than in other groups and the average of their career development level was also the highest. 4. There were significant correlations between the parental supports and career decision-making self-efficacy, vacational identity, career decision. 5 As for the effects of parental support on the student's career development, career decision-making self-efficacy was higher than other vacational identity, career decision.. The $R^2$ value was weak but still statistically significant.

라이프스타일 유형이 외식 구매 의사 결정 과정에 미치는 영향 (The Effect of Lifestyle Patterns on Decision Making Process for Foodservice Purchase)

  • 김기영;배현수;허준
    • 한국조리학회지
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    • 제14권4호
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    • pp.257-268
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    • 2008
  • The purpose of this study was to conduct factor analysis on Foodservice consumers' lifestyle patterns in dietary life, classify lifestyle patterns, and identify how lifestyle patterns influence the 5 stages of decision making process for purchase. Among 300 copies of the distributed questionnaire, 259 copies were collected for this study. It used a total of 283 copies as the effective samples for empirical analysis except 12 copies with false entries among them. For data analysis, it conducted frequency analysis, validity and reliability analysis, factor analysis, and multiple regression analysis using SPSS 12.0. As a result, Hypothesis 1 was significant while Hypothesis 2, 3, and 5 were partially significant. On the contrary, Hypothesis 4 was not significant. Therefore, lifestyle patterns had partially significant effects on decision making process for dining-out purchase. This study subdivided dining-out consumers' lifestyles which were limited to dietary life, and also subdivided decision making process for dining-out consumers' dining-out purchase into five stages. It is significant and very suggestive that this study identified what lifestyle patterns concretely had significant effects on the specific decision making stage. In the future, the researches on adolescent class and silver class should be executed continuously.

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단일 2차원 라이다 기반의 다중 특징 비교를 이용한 장애물 분류 기법 (Obstacle Classification Method using Multi Feature Comparison Based on Single 2D LiDAR)

  • 이무현;허수정;박용완
    • 제어로봇시스템학회논문지
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    • 제22권4호
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    • pp.253-265
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    • 2016
  • We propose an obstacle classification method using multi-decision factors and decision sections based on Single 2D LiDAR. The existing obstacle classification method based on single 2D LiDAR has two specific advantages: accuracy and decreased calculation time. However, it was difficult to classify obstacle type, and therefore accurate path planning was not possible. To overcome this problem, a method of classifying obstacle type based on width data was proposed. However, width data was not sufficient to enable accurate obstacle classification. The proposed algorithm of this paper involves the comparison between decision factor and decision section to classify obstacle type. Decision factor and decision section was determined using width, standard deviation of distance, average normalized intensity, and standard deviation of normalized intensity data. Experiments using a real autonomous vehicle in a real environment showed that calculation time decreased in comparison with 2D LiDAR-based method, thus demonstrating the possibility of obstacle type classification using single 2D LiDAR.

A Structural Relationship between Perfectionism, Dance Commitment, Career Decision Self-Efficacy, and Dance Achievement of Middle and High School Students Majoring in Dance

  • Min, Yun-Mi
    • International journal of advanced smart convergence
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    • 제10권3호
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    • pp.172-180
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    • 2021
  • The purpose of this study is to analyze the structural relationship among perfectionism and dance achievement of middle and high school students majoring in dance. Specifically, this study aims to investigate the effects of perfectionism on dance achievement through the medium of dance commitment and career decision-making self-efficacy. For this purpose, a structural equation model based on the previous studies was constructed with perfectionism as an exogenous variable and dance commitment, career decision-making self-efficacy, and dance achievement as endogenous variables. The final subjects of this study were 279 middle and high school students majoring in dance. The data were processed by frequency analysis to find out personal characteristics using SPSS 23 and exploratory factor analysis and reliability analysis were conducted on the research tools. In addition, AMOS 21 was used for confirmatory factor analysis, correlation analysis and structural equation model analysis. As a result of data processing on the research model. First, the sub-dimensions of perfectionism tendency 'worry about mistakes', 'personal standard', and 'doubt about behavior' had a statistically significant effect on dance commitment. Second, the sub-dimensions of perfectionism 'worry about mistakes', 'personal standard', and 'doubt about behavior' had statistically significant effects on career decision-making self-efficacy. Third, dance commitment did not have a statistically significant effect on dance achievement, but career decision-making self-efficacy had a statistically significant effect on dance achievement. These results provide implications.

Bayesian Value of Information Analysis with Linear, Exponential, Power Law Failure Models for Aging Chronic Diseases

  • Chang, Chi-Chang
    • Journal of Computing Science and Engineering
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    • 제2권2호
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    • pp.200-219
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    • 2008
  • The effective management of uncertainty is one of the most fundamental problems in medical decision making. According to the literatures review, most medical decision models rely on point estimates for input parameters. However, it is natural that they should be interested in the relationship between changes in those values and subsequent changes in model output. Therefore, the purpose of this study is to identify the ranges of numerical values for which each option will be most efficient with respect to the input parameters. The Nonhomogeneous Poisson Process(NHPP) was used for describing the behavior of aging chronic diseases. Three kind of failure models (linear, exponential, and power law) were considered, and each of these failure models was studied under the assumptions of unknown scale factor and known aging rate, known scale factor and unknown aging rate, and unknown scale factor and unknown aging rate, respectively. In addition, this study illustrated developed method with an analysis of data from a trial of immunotherapy in the treatment of chronic Granulomatous disease. Finally, the proposed design of Bayesian value of information analysis facilitates the effective use of the computing capability of computers and provides a systematic way to integrate the expert's opinions and the sampling information which will furnish decision makers with valuable support for quality medical decision making.

역할완화 소비: 선행변수로서의 소비관련 변수와 결과변수로서의 패션의식 (Role-relaxed consumption: Consumption related variables as antecedents and fashion consciousness as a consequence)

  • 박혜정
    • 복식문화연구
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    • 제22권3호
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    • pp.411-430
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    • 2014
  • The purpose of this study is to identify the antecedents and consequence of role-relaxed consumption. Consumption-related variables were considered as antecedents, and fashion-related variable was considered as a consequence. Hedonic consumption, impulse buying, value consciousness, and brand sensitivity were included as consumption-related variables and fashion consciousness was included as a fashion-related variable. It was hypothesized that hedonic consumption, impulse buying, value consciousness, and brand sensitivity influence rolerelaxed consumption and then influence fashion consciousness. Data were gathered by surveying university students in Seoul, using convenience sampling. Two hundred twenty seven questionnaires were used in the statistical analysis, exploratory factor analysis using SPSS and confirmatory factor analysis and path analysis using AMOS. While hedonic consumption, impulse buying, value consciousness, and brand sensitivity were uni-dimensions, role-relaxed consumption and fashion consciousness were multi-dimensions. Factor analysis of role-relaxed consumption revealed two dimensions, 'self-centered decision making' factor and 'importance of intrinsic value' factor. In addition, factor analysis of fashion conscious revealed three dimensions, 'individualism' factor, 'dressing style' factor, and 'appearance' factor. Tests of the hypothesized path show that impulse buying and brand sensitivity negatively influence 'self-centered decision making' and that hedonic consumption and value consciousness negatively influence 'importance of intrinsic value'. While 'self-centered decision making'negatively influence 'dressing style' and 'appearance, 'importance of intrinsic value' negatively influences all factors of fashion consciousness. The implications of these findings and suggestions for future study are also discussed.

농촌청소년의 직업의사결정 분석 (A Study on Vocational Decision Making of Rural Youth)

  • 이채식
    • 농촌지도와개발
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    • 제12권2호
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    • pp.257-270
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    • 2005
  • The purposes of this study were to explore the differences of decision making in farming settlement and to analyze attributes for vocational decision making of rural youth. The study was carried out by literature review and questionnaire. To analyze vocational decision making of rural youth, the data were collected from 196 rural youth by stratified random sampling. The SPSSWIN/ver10 was used for analyzing data with frequency, percentage, t-test ANOVA and factor analysis. The major findings of this study were as follows; 1) Rural youth decided to become farmers at the middle and high school stage for farming succession and eco-friendly life orientation. 2) Youth parents were the major source of influence on their rural youth to settle in farming. 3) Rural youth with high economic status, upper academic achievement and university graduation showed higher autonomous decision making and lower heteronomous decision making. 4) Rural youth with low economic status and low academic achievement showed unstable vocational decision making. 5) The study suggested that rural youth with unstable decision making should get more educational opportunities and supports.

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집단의사결정관련요인이 의사결정의 효율성에 미치는 영향 : 의사결정문제형태를 중 심으로 (The Effect of the Group Factors on the Efficiency of the Group Decision:On the Group Task Types)

  • 소달호
    • 한국정보시스템학회지:정보시스템연구
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    • 제5권
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    • pp.307-328
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    • 1996
  • Group Decision Support System(GDSS) has been a rapidly emerging field of the 1990's. Whereas conventional Decision Support System(DSS) helps individual decision makers, GDSS are designed to help groups of senior management and professional groups reach consensus. However, empirical researches which required to establish the optimum GDSS specification are scarce. Along with this purpose, this paper was focused to investigate the effect of group decision factors on the efficiency of the group decision. In this paper, task types of group decision which were discussed as major variable at many papers were settled as environmental factor. The result has verified the importance of the role-related factors on the efficiency of the group decision. This fact highlights the need of more researches on the role-related factors in the group decision in the GDSS development.

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일반 간호사의 직무 스트레스 반응에 대한 결정 요인 (A study on the determinants of job stress responses of the staff nurses)

  • 김정희;박성애
    • 간호행정학회지
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    • 제9권2호
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    • pp.217-232
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    • 2003
  • Purpose : This paper was attempted to identify the job stress related factors among the staff nurses and to provide the basic data concerning development of stress management program focused on hospitals. Method : The subjects were 309 staff nurses at two general hospitals in Seoul. Data were collected with self-reported questionnaires and analyzed by SPSS-PC+10.0 for descriptive analysis, ANOVA, stepwise multiple regression, factor analysis. Results : The subjects exhibit significantly highest level of 'the participation in decision making factor'. The mean score of 'control coping strategies' was higher than 'avoid coping strategies'. The mean scores of social support and stress responses were high. The main factor that affected the stress responses was 'the job characteristic factor' and it was explained 23.0% out of the total variance of the stress responses. Also, it would be explained 42.6% out of the total variance of the stress responses with 'the control coping strategies, work overload factors, social support, and participation in decision making factors'. Conclusion: For developing the hospital- focused stress management program for staff nurses, 'the participation in decision making factors' and 'the job characteristics' should be considered. Also, the organizational efforts and supports should be required to support and use of 'control coping strategies' of nurses

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데이터 마이닝 기법을 이용한 피고용자의 근로환경 만족도 요인 분석 (Analysis of employee's satisfaction factor in working environment using data mining algorithm)

  • 이동열;김태호;이홍철
    • 대한안전경영과학회지
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    • 제16권4호
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    • pp.275-284
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    • 2014
  • Decision Tree is one of analysis techniques which conducts grouping and prediction into several sub-groups from interested groups. Researcher can easily understand this progress and explain than other techniques. Because Decision Tree is easy technique to see results. This paper uses CART algorithm which is one of data mining technique. It used 273 variables and 70094 data(2010-2011) of working environment survey conducted by Korea Occupational Safety and Health Agency(KOSHA). And then refines this data, uses final 12 variables and 35447 data. To find satisfaction factor in working environment, this page has grouped employee to 3 types (under 30 age, 30 ~ 49age, over 50 age) and analyzed factor. Using CART algorithm, finds the best grouping variables in 155 data. It appeared that 'comfortable in organization' and 'proper reward' is the best grouping factor.