• Title/Summary/Keyword: quota model

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Testing the Crierion-related Validity of a Mental Health Assessment Tool in Kerean Adult (일 정신건강 사정도구의 준거 타당도 검증)

  • Go, Seong-Hui
    • The Korean Nurse
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    • v.30 no.4
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    • pp.61-68
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    • 1991
  • This study was conducted to testing the criterion - related validity of a mental health assessment tool which developed based on a korean culture. Criteria scale for this tool were MMPI and CMI(M - R). The study subject were 100 male and female aged 20 or more with quota sampling. The data was collected from August 16. to August 26. 1989. The data obtained from 85 subjects were analysed using S.P.S.S.(Stastistical Package for the Social Science). As a result, there are no significant correlation between Mental Health Assessment Tool and MMPI and CMI except Mf(Masculinity-Feminity) Subscale of MMPI. This result means the MMPI and CMI was not related to tool which developed based on medical model from etic perspectives, although the tool which had been developed in America Modified to Korean situation. So I dare to say that only the absence of mental illness does not means mental health and the diagnosis of mental illness is not the only criteria of a mental health.

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The model of the weighted proportion estimation for forecasting the number of population (인구추계를 위한 가중비례추정모형)

  • Yoon, Yong Hwa;Kim, Jong Tae
    • Journal of the Korean Data and Information Science Society
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    • v.24 no.2
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    • pp.311-320
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    • 2013
  • The purpose of this paper is to suggest the methods of forecasting the numbers of students. The generalized weighted proportion estimation models are suggested and used for forecasting the numbers of student until 2029. The results of the Monte Carlo simulation show that the suggested method is powerful for the forecasting. In conclusion, the numbers of the third grade high-school students will be less than the numbers of college admission quota from 2019.

The Effects of Family Violence on Perpetration of Dating Violence among College Students (대학생의 가정폭력 경험이 데이팅 폭력 가해에 미치는 영향)

  • 정혜정
    • Journal of the Korean Home Economics Association
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    • v.41 no.3
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    • pp.73-91
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    • 2003
  • This research tested the path model which examined the direct and indirect effects of family violence experience on perpetration of dating violence among college students. Two family violence variables such as witnessing parents' marital violence and being abused by parent were the exogeneous variables in the path model, while the mediated variables were consisted of (1) the social-learning-theory-derived variables such as acceptance of violence, positive outcome expectations of using violence, and aggressive conflict-coping behavior, and (2) control-theory-derived variables such as attachment, belief, and commitment. Data were from self-administered questionnaires completed by 332 male and 469 female students selected by stratified quota sampling method. The path analysis was done for males and females separately, since females reported significantly higher degree of dating violence than males. Results of the path analysis showed that first, for both males and females, being abused by parents directly and indirectly influenced dating violence, while witnessing parents' marital violence did not have effect on dating violence either directly or indirectly. Second, for male students, acceptance of violence and conflict coping behavior found to be the mediated variables in the effect of being abused by parents on dating violence. Third, for females, a control-theory-derived variable of belief as well as all three social learning theory-derived variables mediated the influence of being abused by parents on dating violence.

Key Drivers of Operational Performance of E-commerce Distribution Service Providers in Thailand

  • VONGURAI, Rawin
    • Journal of Distribution Science
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    • v.20 no.12
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    • pp.89-98
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    • 2022
  • Purpose: Due to the rapid growth of e-commerce in Thailand, the operational excellence of distribution service providers has been elevated. Thus, this research investigated the key drivers of operational performance of e-commerce distributors in Thailand. The research contains key variables: the analytics capabilities of an organization, supply chain disruption orientation, innovation capability, and operational performance. Research design, data, and methodology: An online survey is administered to top managers and key personnel (N=425) employed for at least one year in Thailand's top five e-commerce distributors. The sampling methods were conducted using purposive sampling, quota sampling, and convenience sampling. Confirmatory Factor Analysis and Structural Equation Model were applied to analyze and confirm the model's goodness-of-fit and hypothesis testing. Results: The findings reveal that an organization's analytics capabilities significantly affect supply chain disruption orientation and supply chain resilience. Furthermore, operational performance is affected by supply chain disruption, supplier quality management, and innovation capability. Nevertheless, supply chain resilience and digital supply chain have no significant effect on operational performance. Conclusions: The results imply that supply chain digitalization could drive higher operational performance. Distribution businesses are encountering transformation and disruption, which should address the high level of a digital supply chain, innovation, and quality management to maximize their profit margin and delivery service quality.

The Structural Relationship among Selection Attributes, Consumption Value Brand Attitude, Fun, Brand Loyalty and Quality of Life in Athleisure

  • Byun, Kyung-Won;Kim, Moo-Young
    • International journal of advanced smart convergence
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    • v.10 no.2
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    • pp.138-144
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    • 2021
  • The purpose of this study is to analyze the relationship among selection attributes, consumption value brand attitude, fun, brand loyalty and quality of life. The subjects of the empirical study were selected by the Korea Fashion Industry Research Institute using the convention sampling method and the quota sampling method for 241 consumers who have purchased brands classified as "athleisure" within the past year For each variable constructed to verify reliability and validity of the measurement model, reliability tests using Cronbach' alpha were performed using IBM SPSS Win Ver. 23.0. To verify the unidimensionality of the measurements, we conducted a confirmatory factor analysis using AMOS 22.0 and a structural equation model to determine the structural relationship between variables. As a result of the study, First, both intrinsic and extrinsic attributes, which are sub-factors of selection attributes, have been shown to have a significant effect on consumption value. Second, consumption value has been shown to have a significant impact on brand attitude and fun. Third, brand attitudes have been shown to have a significant impact on brand loyalty. Finally, fun has been shown to have a significant impact on quality of life.

Distributing data in Virtual-reality: factors influencing purchase intention of cutting tools

  • JITKUSOLRUNGRUENG, Nitichai;VONGURAI, Rawin
    • Journal of Distribution Science
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    • v.19 no.9
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    • pp.41-52
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    • 2021
  • Purpose: Virtual reality is a unique technology to distribute data and demonstrates user's understanding towards complex products. The objective of this research is to investigate the impact of virtual reality on real world purchase intention of automotive cutting tools in Thailand's exhibitions. Hence, the research framework was constructed by telepresence, perception narrative, authenticity, trustworthiness, functional value, aesthetics, and purchase intention. Research design, data and methodology: Samples were collected from 500 visitors who participated in the selected top two metalworking exhibitions. Mix sampling approach is applied by using non-probability sampling methods of purposive or judgmental sampling, quota sampling, and convenience sampling method, respectively to reach target samples. Confirmatory Factor Analysis (CFA) and Structural Equation Model (SEM) were used to analyze and confirm goodness-of-fit of the model and hypothesis testing. Results: The results indicate that authenticity, functional value, and trustworthiness induced higher experiential value towards purchase intention. Those variables are stimulated by telepresence and perception narrative towards VR experience. Conclusions: Consumer's purchase intention towards VR experience on engineering cutting tools rely on consumer's sense of authenticity, trustworthiness, and functional value. Hence, marketing practitioners in automotive companies are encouraged to develop VR which focusing on significant factors to enhance consumers purchase intention.

A Bioeconomic Analysis on the Effectiveness of Total Allowable Catch(TAC) Policy under the Rebuilding Plan (자원회복계획 하에서의 총허용어획량(TAC) 어업정책 효과에 관한 생물경제학적 분석 -미국 멕시코만의 Yellowedge Grouper 어업을 사례로-)

  • Kim, Dohoon
    • Environmental and Resource Economics Review
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    • v.12 no.4
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    • pp.663-686
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    • 2003
  • This study is aimed at analyzing the effectiveness of TAC policy using a bioeconomic model. A surplus-production model is used as a population dynamic model, from which the yellowedge grouper is estimated to be overfished. As a result, a 10-year rebuilding plan using the TAC policy is established. According to the result of model, under the well-enforced system, the target stock biomass is achieved during the rebuilding period. Especially, in order to accomplish the target stock biomass, the annual quota should be allocated much less than 342 tons that NMFS recommended. The NPV over a 25-year under the TAC policy Is predicted to be less than under the status quo. The economic gains under the variable-catch TAC policy is less than under the constant-catch TAC policy as the interest rate decreases, while the NPV under the constant-catch is greater than under the variable-catch TAC policy when the interest rate is high.

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Movie Box-office Prediction using Deep Learning and Feature Selection : Focusing on Multivariate Time Series

  • Byun, Jun-Hyung;Kim, Ji-Ho;Choi, Young-Jin;Lee, Hong-Chul
    • Journal of the Korea Society of Computer and Information
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    • v.25 no.6
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    • pp.35-47
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    • 2020
  • Box-office prediction is important to movie stakeholders. It is necessary to accurately predict box-office and select important variables. In this paper, we propose a multivariate time series classification and important variable selection method to improve accuracy of predicting the box-office. As a research method, we collected daily data from KOBIS and NAVER for South Korean movies, selected important variables using Random Forest and predicted multivariate time series using Deep Learning. Based on the Korean screen quota system, Deep Learning was used to compare the accuracy of box-office predictions on the 73rd day from movie release with the important variables and entire variables, and the results was tested whether they are statistically significant. As a Deep Learning model, Multi-Layer Perceptron, Fully Convolutional Neural Networks, and Residual Network were used. Among the Deep Learning models, the model using important variables and Residual Network had the highest prediction accuracy at 93%.

Development of Simulation Tool for Ship Self Defense Scenario Using Naval Multi Function Radar (함정용 다기능 레이다를 이용한 자함 방어 시나리오 시뮬레이션 도구 개발)

  • Park, Myung-Hoon;Kim, Chang-Hwan;Kim, Hyun-Seung;Go, Jin-Yong;Jeon, Woo-Joong;Kwon, Se-Woong;Lee, Ki-Won;Kang, Yeon-Duk;Yoo, Seung-Ki
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.20 no.2
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    • pp.87-96
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    • 2020
  • The multi function radar is searching target and tracking through resource management at the same time. Increasing resource allotment of track, if more targets and faster the renewal rate of track, lead to decreasing quota of searching resource in limited resource. When the resource of search are decreased, it becomes degrade searching performance such as revisit time, number of detecting chance and tracking etc. Degraded performance of search reduces guided missile defense probability in complex strategy such as ship self defense. In this paper, we developed a modeling and simulation (M&S) tool that uses own-ship model, radar model, target model and defense model for analysis of self defense in complex strategy. We analyzed influence of ship self defense in complex strategy according to various target environments and track performance.

Analysis on the inhibitory effects of frozen pepper imports from China by tariff-rate quota, a trade policy tool using a structural equation model

  • Hong, Seungjee;Han, Sukho;Jang, Heesoo
    • Korean Journal of Agricultural Science
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    • v.47 no.2
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    • pp.337-347
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    • 2020
  • Since 2012, despite the fact that tariff rate quotas (TRQ) in the form of dried peppers has not been imported, the imports of pepper-related items such as low- tariff frozen peppers (27%) and other sauces (45%) have increased, there has been a problem in the domestic pepper industry, in which the domestic self-sufficiency rate has declined. The purpose of this study was to find out whether the operation of chili pepper TRQ has the effect of suppressing the imports of pepper-related items from China. We analyzed the import substitution effect (import suppression effect) through causal analysis of the imports of red pepper TRQ, frozen peppers, and other sauces using the structural equation model analysis method. As a result of the hypothetical scenario analysis, when the government imports and releases 7,185 tons of pepper TRQ in 2019/20 (scenario), private imports were estimated to decrease by only 3,060 tons. In other words, the import substitution effect between imported items was estimated to decrease about 2,079 tons of private dried peppers, and about 981 tons of imported pepper-related items. There was an effect of suppressing the imports of pepper-related items such as frozen peppers, but it was analyzed to be insignificant. That reason was that the replacement substitution elasticity of the pepper-related items for TRQ import was less than 1 (inelastic). Therefore, it is judged that the government's operation of the pepper TRQ is preferably focused on stabilizing domestic prices rather than focusing on import control of pepper-related items.