• 제목/요약/키워드: Covariance structural model

검색결과 154건 처리시간 0.026초

제조업 남자 근로자의 심혈관질환 위험요인에 대한 모형 구축 (A Structural Model Development on the Cardiovascular Disease Risk Factors among Male Manufacturing Workers)

  • 최은숙
    • 지역사회간호학회지
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    • 제17권2호
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    • pp.153-165
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    • 2006
  • Purpose: The purpose of this study was to develop and test a structural model on cardiovascular disease risk factors among male manufacturing workers. Methods: Data were collected through questionnaires and health exams from 201 workers in a local electronic company during September 2004. Data analysis was done with SAS 9.1 for descriptive statistics and PC-LISREL 8.54 for covariance structural analysis Results: The overall fit of the hypothetical model to the data was moderate, it was modified by deleting five paths. The modified model had a better fit to the data($x^2=504.23$(p<001, df: 180), $x^2/df=2.80$, GFI=.95, RMR=.07, NFI=.90, PGFI=.64). Health behaviors and psychosocial distress were found to have significant direct effects on the cardiovascular disease risk factors. Self-concept had direct effect on psychosocial distress or health behaviors. Self-concept, work environment, and work condition had direct effect on social support. Work environment had indirect effect on psychosocial distress. Social support had indirect effect on health behaviors. But work environment and work condition were found to have little direct effect on health behaviors, psychosocial distress or cardiovascular disease risk factors. Conclusion: A cardiovascular health promotion program should therefore include psycho-social factors as well as health behavioral determinants in worksites.

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공학분야 대학생의 창의적 문제해결에 영향을 미치는 지식융합 변인의 구조적 관계 분석 (Analysis of Structural Relationships Among Predictors of Creative Problem Solving in Engineering)

  • 박성미;양황규
    • 수산해양교육연구
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    • 제27권4호
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    • pp.963-972
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    • 2015
  • This study examined the impact of variables(collaboration, convergence motive, convergence thinking) on the creativity problem solving of engineering college students. 522 students among engineering colleges in Pusan and Ulsan were sampled. For the statistical analysis, analysis of covariance structure by AMOS 18.0 was applied. Results from structural equation modeling analyses indicated that a hypothesized model produced a better fit to the data than a comparative structural model. The hypothesized model shows the following results. On the basis of the hypothesized model, collaboration effected to directly convergence motive and creative problem solving, and convergence motive effected to directly convergence thinking, convergence motive effected to directly creative problem solving, convergence thinking effected to directly creative problem solving, and collaboration effected to indirectly convergence thinking by convergence motive. Therefore this study suggested the collaboration, convergence motive and convergence thinking are significantly variables to facilitate the creative problem solving for knowledge fusion in engineering.

A novel Metropolis-within-Gibbs sampler for Bayesian model updating using modal data based on dynamic reduction

  • Ayan Das;Raj Purohit Kiran;Sahil Bansal
    • Structural Engineering and Mechanics
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    • 제87권1호
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    • pp.1-18
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    • 2023
  • The paper presents a Bayesian Finite element (FE) model updating methodology by utilizing modal data. The dynamic condensation technique is adopted in this work to reduce the full system model to a smaller model version such that the degrees of freedom (DOFs) in the reduced model correspond to the observed DOFs, which facilitates the model updating procedure without any mode-matching. The present work considers both the MPV and the covariance matrix of the modal parameters as the modal data. Besides, the modal data identified from multiple setups is considered for the model updating procedure, keeping in view of the realistic scenario of inability of limited number of sensors to measure the response of all the interested DOFs of a large structure. A relationship is established between the modal data and structural parameters based on the eigensystem equation through the introduction of additional uncertain parameters in the form of modal frequencies and partial mode shapes. A novel sampling strategy known as the Metropolis-within-Gibbs (MWG) sampler is proposed to sample from the posterior Probability Density Function (PDF). The effectiveness of the proposed approach is demonstrated by considering both simulated and experimental examples.

한국 대학생의 음주행위 예측모형의 성별 비교분석 (A Predictive Model Comparison by Sex for Alcohol Consumption Behavior among Korea University Students)

  • 최명숙;임미영;윤영미
    • 대한간호학회지
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    • 제32권1호
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    • pp.77-88
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    • 2002
  • The purpose of this study was designed to develope and test the structural model that explains alcohol consumption behaviors among university students in Republic of Korea. The hypothetical model was constructed on the basis of the literature review and Pender's Health promotion model. Data was collected from questionnaires from 512 university students in Republic of Korea, from August to September, 2000. The reliability of instruments was adequate (Cronbach's alpha= .69-.90). Data analysis was done with SAS 6.12 for descriptive statistics and LISREL 8.13 program for covariance structural analysis. The results are as follows; 1. The overall fit of the hypothetical model to the data was moderate. Thus it was modified by male and female models. 2. The revised model has become parsimonious and had a better fit to the empirical data (male: χ2=87.21 p=.00, GFI=.97, AGFI= .94, NFI=.99, NNFI=1.0, CN=619.17, female: χ2=49.29 p=.31, GFI=.45, AGFI= .95, NFI=.99, NNFI=1.0, CN=370.02). 3. Self-efficacy was most significant factor and personality of novelty seeking, reward compensation, alcohol expectancy and drinking attitude have significant effects on male alcohol consumption behavior. 4. Personality of novelty seeking was most significant factor and personality of harm avoidance, friend influence, self-efficacies, alcohol expectancy and drinking attitude have significant effects on female alcohol consumption behavior.

보 구조물의 가속도 신호를 이용한 인공신경망 기반 실시간 손상검색기법 (ANN-Based Real-Time Damage Detection Technique Using Acceleration Signals in Beam-Type Structures)

  • 박재형;이용환;김정태
    • 한국전산구조공학회논문집
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    • 제20권3호
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    • pp.229-237
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    • 2007
  • 본 논문에서는 보 구조물의 실시간 손상위치 경보를 위해 가속도 신호를 이용한 인공신경망기반 손상검색기법을 제안하였다. 이를 위해 먼저, 실시간 손상검색을 위해 가속도 응답신호만을 이용하는 새로운 인공신경망 알고리즘을 설계하였다. 구조물의 손상상태를 나타내는 특징으로 서로 다른 두 위치에서 측정된 가속도 신호의 교차공분산 값을 이용하였다. 다음으로 실제 하중조건을 모르는 상황을 고려하여 다양한 하중패턴에 따른 복수 신경망을 구성하였으며, 각각의 신경망 학습을 위한 손상시나리오를 선정하였다. 마지막으로 양단 자유보 모형실험을 통해 제안된 기법의 유용성과 적용성을 평가하였다.

만성 소화기 질환자의 Pender 모형에 근거한 삶의 질 예측 모형 (A Structural Model Based on PenderPs Model for Quality of Life of Chronic Gastric Disease)

  • 박은숙;김소인;이평숙;김순용;이숙자;박영주;유호신;장성옥;한금선
    • 대한간호학회지
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    • 제31권1호
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    • pp.107-125
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    • 2001
  • This study was designed to construct a structural model for quality of life of chronic gastric disease. The hypothetical model was developed based on the literature review and Pender's health promotion model. Data were collected by questionnaires from 459 patients with chronic gastric disease in a General Hospital from July 1999 to August 2000 in Seoul. Data analysis was done with SAS 6.12 for descriptive statistics and PC-LISREL 8.13 Program for Covariance structural analysis. The results are as follows : 1. The fit of the hypothetical model to the data was moderate, thus it was modified by excluding 1 path and including free parameters and 2 path to it. The modified model with path showed a good fitness to the empirical data ($\chi$2=934.87, p<.0001, GFI=0.88, AGFI=0.83, NNFI=0.86, RMSR =0.02, RMSEA=0.07). 2. The perceived barrier, health promoting behavior, self-efficacy, and self-esteem were found to have significant direct effects on the quality of life. 3. The health concept, health perception, emotional state, and social support were found to have indirect effects on quality of life of chronic gastric disease. In conclusion, the derived model in this study is considered appropriate in explaining and predicting quality of life of chronic gastric disease. Therefore it can effectively be used as a reference model for further studies and suggested direction in nursing practice.

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만성 질환자의 건강 증진 행위 구조모형 구축 (Construct a Structural Model for Health Promoting Behavior of Chronic Illness)

  • 이숙자;김소인;이평숙;김순용;박은숙;박영주;유호신;장성옥;한금선
    • 대한간호학회지
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    • 제32권1호
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    • pp.62-76
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    • 2002
  • This study was designed to construct a structural model for health promoting behavior of patients with chronic disease. The hypothetical model was developed based on the literature review and Pender's health promotion model. Method: Data was collected by questionnaires from 1748 patients with chronic disease in General Hospital from December 1999 to July 2000 in Seoul. The disease of subject were cardiac disease included hypertension peptic ulcer, pulmonary disease included COPD and asthma, DM, and chronic kidney disease. Data analysis was done with SAS 6.12 for descriptive statistics and PC-LISREL 8.13 Program for Covariance structural analysis. Results: 1. The fit of the hypothetical model to the data was moderate, it was modified by excluding 4 path and including free parameters to it. The modified model with path showed a good fitness to the empirical data (χ2=591.83, p<.0001, GFI=0.97, AGFI= 0.94, NNFI=0.95, RMSR=0.01, RMSEA=0.05). 2. The perceived benefits, perceived barriers, self-efficacy, self- esteem, and the plan for action were found to have significant direct effect on health promoting behavior of chronic disease. 3. The health concept, health perception, emotional state, social support were found to have indirect effects on health promoting behavior of chronic disease. Conclusion: The derived model in this study is considered appropriate in explaining and predicting health promoting behavior of patients with chronic disease. Therefore, it can effectively be used as a reference model for further studies and suggested implication in nursing practice.

청소년 물질남용의 구조 모형 (Construction of the Structural Equation Model on Substance Use in Adolescents)

  • 배정이
    • 대한간호학회지
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    • 제39권3호
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    • pp.446-457
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    • 2009
  • Purpose: The aim of this study was to construct a structural equation model that would further explain the continuously increasing substance use disorder in Korean adolescents. Methods: Survey visits using a structured questionnaire were conducted with 3,885 students in 2 middle schools and 2 high schools in Busan. A total of 13 instruments were used in this model. The analysis of data was done with both SPSS 14.0 for descriptive statistics and AMOS 5.0 for covariance structure analysis. Results: Based on the constructed model, belief on substance use was found to have a significantly direct effect in influencing adolescent substance use. In addition, other factors such as family environment, satisfaction with school life, self-concept, social support, and personality vulnerability indirectly affected substance use. The final modified model yielded Chi-square=2,987(p<.001), df=121, ${\chi}^2$/df=22.1, GFI=.96, AGFI=.93, NFI=.91, PNFI=.72, PGFI=.72, RMSEA=.07 and exhibited fit indices. Conclusion: This study constructed a model that addresses the factors related to adolescent substance use and explains the relationship of these factors in influencing substance use among Korean adolescents. Findings from this study can contribute to designing appropriate prevention strategies to reduce substance related disorders in adolescents.

모바일 패션 쇼핑 특성이 소비자의 구매의도에 미치는 영향 - 기술수용모델(Technology Acceptance Model)을 적용 - (The Effect of Mobile Fashion Shopping Characteristics on Consumer's Purchase Intention - Applying the Technology Acceptance Model -)

  • 채진미
    • 한국의류산업학회지
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    • 제18권1호
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    • pp.38-47
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    • 2016
  • This research analyzes the influence of mobile commerce characteristics on consumer's purchase intention using a theoretical Technology Acceptance Model (TAM) constructed on previous studies and a review of the literature to explain the effect of mobile fashion shopping characteristics on consumer's purchase intention. In constructing structural equation model, Mobile commerce characteristics variables such as 'security', 'enjoyment', and 'personalization' were selected as external variables affecting TAM. A questionnaire was distributed to consumers in their 20's-30's who had purchased fashion products using a mobile shopping channel. Statistical methods of confirmatory factor analysis, correlation, and covariance structural analysis using Amos 19.0 package were employed for the analysis of 453 effective data responses. The results were as follows. First, extended TAM was shown be the appropriate model to explain the influence of mobile commerce characteristics on consumer's purchase intention in mobile fashion shopping. Second, 'security' had a significant positive influence on perceived usefulness (PU), however it affected perceived ease of use (PEOU) negatively. Third, 'enjoyment' had a significant influence only on PEOU, while 'personalization' was found to affect both PEOU and PU significantly. Fourth, PEOU affected PU significantly. Finally, both PEOU and PU had a significant influence on consumer's purchase intention.

대학생 우울에 관한 예측모형 구축 (Development of a Structural Equation Model to estimate University Students' Depression)

  • 박광희
    • 대한간호학회지
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    • 제38권6호
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    • pp.779-788
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    • 2008
  • Purpose: This study was designed to construct a structural model explaining depression in university students. Methods: Data were collected from 1,640 university students by questionnaire, and analyzed using AMOS 5.0 to test the hypothetical model. Results: Fitness statistics for the modified model were GFI=.93, AGFI=.89, NFI=.91, and RMSEA=.081. All the 12 paths in the modified model proved to be statistically significant. Depression of university students accounted for 52% of the covariance by the factors. The factor that had the most influence on depression was individual vulnerability, and followed by sequence order, stress, social support, coping, and self-efficacy. Depression was influenced directly by individual vulnerability, stress, social support, and coping, and indirectly by individual vulnerability, stress, social support, and self-efficacy. Conclusion: A screening and management system for the high risk group is needed to effectively prevent depression and reduce rate of depression in university students. Detailed support programs which specifically deal with prevailing stressors should be developed to effectively reduce the harmful effects of individual vulnerability and stress. It is anticipated that the model constructed in this study could be utilized as a reference in developing various strategies to prevent and intervene depression in university students.