• Title/Summary/Keyword: 3 요인 모형

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A Study on Drug Users' Intention to Use Treatment Services - Application of Extended Behavioral Model of Health Services Use - (약물사용자의 치료서비스 이용 의도 예측 연구 - 확장된 건강서비스이용행동모형의 적용 -)

  • Kim, Nang hee
    • Korean Journal of Social Welfare
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    • v.69 no.3
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    • pp.165-191
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    • 2017
  • The purpose of this study is to identify the major predictive factors of intention of drug users to use treatment services. The theoretical framework was used extended Behavioral Model of Health Services Use which integrates the Andersen model and the Theory of Planned Behavior. Thus, this study examined the effects of individual characteristics(predisposing, enabling, need factor) and attitude, subjective norm, perceived behavior control on drug users' intention to use treatment services. Factors with a statistically significant effect were as follows: from the individual characteristics - gender and past treatment experiences of the predisposing factors along with psychiatric diagnosis, anxiety and depression, and severity of drug abuse of need factors. From the Theory of Planned Behavior - subjective norm and perceived behavior control turned out to have impacts on their intention to use treatment services. The study emphasizes that a concern of women, increasing positive experiences of treatment, efforts to change the subjective norms and perceived behavior control of drug users to promote their determination to get treatment.

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Validity Verification of ARCS Evaluation Models for Promoting University Students' Learning Motivation (대학생의 학습동기 촉진을 위한 ARCS 평가모형의 타당화 검증)

  • Kim, Mi-Rye
    • The Journal of the Korea Contents Association
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    • v.17 no.12
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    • pp.77-91
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    • 2017
  • Due to the lack of learning motivation, there is a need to seek ways to facilitate learning incentives because it's causing drop out and maladjustment of university life. This study is to examine whether the ARCS evaluation model developed by Keller (1983) is a valid model for evaluating the motivation level of local university students sample 276(male 116, female 157) in the Republic of Korea. To analyze the data, average statistic, one-way ANOVA and confirmative factor analysis were used. The conclusion of this study is as follows. First, the level of motivation per ARCS factor has demonstrated the highest relevance factor. Second, the level of motivation by the ARCS for the 1st and 3rd graders was appropriate. Differences in 'attention' and 'relevance' have only been observed for each year, and the 1st grade group was found to be larger than the 2nd grade cohort. Third, construct validity and convergent validity were obtained for measuring the level of motivation. The results of the verification of the variables also showed that the AVE and CR were met, and the model fit well was satisfactory. Based on the finding results, discussion and implication for further research were suggested.

A Study to Predict the Traffic Accident Severity Level Applying Neural Network at the Signalized Intersections (인공신경망을 적용한 신호교차로 교통사고심각도 예측에 관한 연구)

  • Choi, Jae-Won;Kim, Seong-Ho;Cho, Jun-Han;Kim, Won-Chul
    • Journal of Korean Society of Transportation
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    • v.22 no.3 s.74
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    • pp.127-135
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    • 2004
  • 교차로 안전성 진단과 관련된 기존의 연구는 교차로 상에서 발생한 사고 자료에 기초하여 교차로 기하구조 요소, 교통량 및 신호운영방법 등과 관련된 요인을 변수로 사용하여 교통사고건수 예측모형 개발에 관한 연구가 대부분이다. 그러나, 분석하고자 하는 대상 교차로의 사고건수 예측모형을 개발하기 위해 필요한 교통사고 자료의 경우 단 기일에 걸쳐 획득되지 않으며 몇 년간의 사고 자료를 요구할 수도 있다. 이러한 자료를 이용하더라도 사고 발생 기간동안 교차로 사고에 영향을 미치는 요인(교차로 운영방법, 기하구조 등)이 변화될 수도 있다는 문제점을 지닌다. 이와 같은 이유로 교차로 안전성을 진단하는데 있어 기존 교통사고 자료는 언제나 절대적인 자료가 될 수 없다. 이에 대한 보완책으로, 3일에서 5일정도의 조사 자료만으로도 안전성 진단이 가능한 상충자료를 이용하여 교차로 안전성 진단을 할 수 있다. 본 연구는 기존사고 자료를 이용하여 사고 발생에 기인하는 여러 변수들을 교통사고심각도와의 상관관계를 분석하고, 상관관계가 높은 변수를 이용하여 신경망 사고심각도 예측모형을 개발하였으며, 모형 검증을 위해 다중회귀사고심각도 예측모형을 개발하여 비교 평가한 결과 신경망 사고심각도 예측모형의 예측력이 우수한 것으로 나타났다. 현장에서 조사된 상충자료를 신경망 사고심각도 예측모형에 적용하여 상충이 사고로 연결 될 경우 사고심각도를 예측하였으며, 예측된 사고심각도에 가중치를 부여하여 대상 교차로 위험우선순위를 결정한 결과 사고비용에 기초한 위험우선순위 결정법과 같은 순위의 결과를 도출하였다.

Bivariate reliability models with multiple dynamic competing risks (다중 동적 Competing Risks 모형을 갖는 이변량 신뢰성 모형에 관한 연구)

  • Kim, Juyoung;Cha, Ji Hwan
    • Journal of the Korean Data and Information Science Society
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    • v.27 no.3
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    • pp.711-724
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    • 2016
  • Under variable complex operating environment, various factors can affect the lifetimes of systems. In this research, we study bivariate reliability models having multiple dynamic competing risks. As competing risks, in addition to the natural failure, we consider the increased stress caused by the failure of one component, external shocks, and the level of stress of the working environment at the same time. Considering two reliability models which take into account all of these competing risks, we derive bivariate life distributions. Furthermore, we compare these two models and also compare the distributions of maximum and minimum statistics in the two models.

A Study on Factors of Career Development in Scientist and Engineer Laborforce (과학기술인력의 경력개발 촉진 요인에 대한 분석)

  • Hong, Seong-Min;Chang, Sun-Mi
    • Journal of Technology Innovation
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    • v.24 no.3
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    • pp.139-159
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    • 2016
  • The purpose of this study is to find out the factors which promoting career development of scientist and engineer laborforce. We made up three logit analysis models to figure out the factors affecting the career of scientist and engineer laborforce. Dependent variables were composed of job attributes in 2011, current job attribute, changing of working conditions, efforts of job seeking, university education, and personal characters. Three analysis model were composed of demand side model which including job attributes factors, supply side model which focus on employment or university education characters and total model including the demand and the supply factors. The results showed a stable career to the development of scientist and engineer laborforce's job attributes on the demand side than the supply side, such as a college education even more important. After all, the initial stable jobs and good matching policy were the most important policies to be seated in the science and engineering professions.

The Efficiency Determinants to Port Cargo Equipment on Container Terminals to DEA & Tobit Model (DEA와 Tobit 모형에 따른 컨테이너 터미널의 하역장비 효율성 결정요인)

  • Park, Hong-Gyun
    • Journal of Korea Port Economic Association
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    • v.26 no.3
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    • pp.1-17
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    • 2010
  • This paper focuses on measuring the efficiency of container yards in container terminals in Busan and Gwangyang using Data Envelopment Analysis (DEA) approach. It analyses the relative efficiency of 11 container terminals based on the data for the period between 2006 and 2009 to offer a fresh perspective. The applied framework assumes inputs to be container cranes, transtainer cranes and yard tractors and output as container transshipment volume. Through the analysis, the differences between the impact of using of container cranes, transtainer cranes and yard tractors, top handler & reach stacker on container yard efficiency are measured. Moreover, the associations between the three input factors are analyzed as well. This paper also employs heteroscedastic Tobit model to show the impact of explanatory variables on container yard efficiencies. I took into consideration the strategies for operation of container cranes, transtainer cranes and yard tractors in container yard.

A Study on the Effect of Investor Sentiment and Liquidity on Momentum and Stock Returns (투자자 심리와 유동성이 모멘텀과 주식수익률에 미치는 영향 연구)

  • In-Su, Kim
    • Journal of Industrial Convergence
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    • v.20 no.11
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    • pp.75-83
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    • 2022
  • This study analyzes whether investor sentiment and liquidity explain the momentum phenomenon in the Korean stock market and whether it is a risk factor for the asset pricing model. The empirical analysis used the monthly returns of non-financial companies listed on the stock market during the period 2000-2021. As a result of the analysis, first, it was found that there is a momentum effect in Korea. This is the same result as the previous study, and since 2000, the momentum effect has been accepted as a general phenomenon in the Korean stock market. Second, if we look at the portfolio based on investor sentiment, investor sentiment is influencing momentum. In particular, when investor sentiment is negative, the return on the winner portfolio is high. Third, as a result of the analysis based on liquidity, the momentum effect disappears and a reversal effect appears. Fourth, it was found that investor sentiment and liquidity influence the momentum effect. This is a result of the strong momentum effect in the illiquid stock group with negative investor sentiment. Fifth, as a result of analyzing the effect of each factor on stock returns, it was found that both investor psychology and liquidity factors have a significant impact on returns. The estimated results provide evidence that the inclusion of these two factors in the Carhart four-factor model significantly increases the predictive power of the model. Therefore, it can be said that investor sentiment factors and liquidity factors are important factors in determining stock returns.

Related Factors to Health Behavior by Patients With Hyperlipidemia Based on Health Belief Model (건강신념모형에 기초한 고지혈증 환자의 건강행태 관련요인)

  • Lee, Eun-Sun;Na, Baeg-Ju;Lee, Moo-Sik;Lee, Jin-Yong;Hong, Jee-Young;Lim, Young-Shil
    • Proceedings of the KAIS Fall Conference
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    • 2011.05b
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    • pp.1057-1060
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    • 2011
  • 본 연구는 건강신념모형의 주요 변수와 고지혈증 환자의 건강행태와의 관계를 파악하여 고지혈증 환자의 건강행태를 촉진하고 더 나아가 만성질환 보건사업 및 교육프로그램을 계획하는데 기초 자료를 제공하고자 시도되었다. 자료는 2009년 07월부터 2010년 9월까지 총콜레스테롤이 240mg/dl 이상이고, 중성지방이 200mg/dl 이상으로 고지혈증을 진단받은 20세 이상의 성인 남녀 146명을 대상으로 구조화된 설문지를 이용하여 조사하였으며, SPSS WIN(14.0 한글판) 프로그램을 이용하여 Chronbach's alpha의 신뢰성 분석, 요인분석, 단변량 및 다변량 분석을 시행하였다. 본 연구의 결과는 다음과 같다. 첫째, 본 연구에서는 LDL-cholesterol, HDL-cholesterol, TG에 대한 인지수준 중 TG에 대한 인지가 가장 높았고, 3가지 모두를 인지한 경우는 28.08%였다. 또한 9가지 항목에 대한 고지혈증 지식수준은 9점 만점에 평균 6.51이었으며, 지식수준이 높을수록 건강행태수준도 높았다. 둘째, 요인분석을 통하여 10개의 건강행태를 2개 요인으로 재분류 하였다. 그 결과, 건강행태 요인 1은 '식이, 운동 습관 및 고지혈증 검사 및 관련 검사요인', 건강행태 요인 2는 '흡연, 음주 습관 및 고지혈증 치료 관련 요인'이었다. 건강행태 요인1에 유의한 관련성이 있는 건강신념변수는 심각성, 이득, 장애로 나타났고, 취약성은 상관 관계가 없는 것으로 나타났다. 각 신념 요인들과 건강행태 간의 상관되는 순서는 이득(r =.455), 심각성 (r=.38), 장애(r=-.244) 순으로 나타나 고지혈증에 대한 이득 인식이 건강행태 요인1과 가장 관련성이 높은 것으로 파악되었다. 그러나, 건강행태 요인2는 건강신념변수와 관련성이 없는 것으로 나타났다. 셋째, 행동계기에 따른 건강행태의 관계를 살펴보면, 교육을 받았을 때 건강행태 요인1과 요인2에 모두 유의한 차이를 보이는 것으로 나타나, 교육이 고지혈증 환자의 건강행태에 중요한 영향을 미치는 것을 보여 주었다. 넷째, 다중회귀분석 결과 고지혈증 건강행태 요인1에 영향을 미치는 요인 중 유의한 요인으로 인지된 심각성 및 이점 신념요인, 교육여부, 보건소 교육정도 이었다. 건강행태 요인2에서는 성별, 연령, 교육여부가 유의한 영향을 미치는 요인으로 나타났다. 이상의 결과를 종합하면 건강신념모형이 고지혈증 건강행태를 예측하는데 적합한 모형이라고 판단 할 수 있으며, 건강행태 요인 특성에 따라 건강신념변수 중 고지혈증 예방에 대한 이득을 높이 인식할 수 있도록 프로그램과 교육목표를 설정하면 보다 효과적인 교육이 될 것이라 생각된다.

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A Multiple-Item Scale for Measuring Food Service Quality - An Application of the Hierarchical Service Quality Approach - (외식 서비스 품질(FOODSERVQUAL) 측정을 위한 다문항 척도 - 위계적 서비스 품질 모형에의 적용 -)

  • Kim, Sang-Ho
    • Culinary science and hospitality research
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    • v.15 no.4
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    • pp.227-244
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    • 2009
  • This study was conducted to develop a multiple-item scale for measuring the food service quality in the restaurant industry. For developing the scale, Kelly Repertory Grid Methods were conducted. Collected data of food service quality were analyzed with the reliability analysis and the factor analysis of SPSS 12.0 and the 3rd-order confirmatory factor analysis of LISREL 8.70. The food service quality model of this study is conceptually based on the Brady and Cronin(2001)'s hierarchical approach to the service quality model. The hierarchical model of the food service quality which comprises three constructs of the physical environment quality, the interaction quality and the food quality as a primary dimension. The hierarchical approaches to the food service quality help overcome the limitations of the SERVQUAL model for which some arguments have been made that it lacks a clear division between the dimensions and its subsequent overlapping between them.

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Factor Constructs Exploration and Model Goodness-of-fit Verification of Empathy for Dementia Patient among Nurses (간호사의 치매환자에 대한 공감도 요인구조 탐색 및 모형적합성 검증)

  • Back, Kyung-Mi;Lee, Hye-Kyung;Back, Jong-Nam
    • Journal of the Korean Applied Science and Technology
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    • v.37 no.2
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    • pp.287-295
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    • 2020
  • The purpose of this study is to analyze what constitutes the sympathetic component of nurses care of dementia patients. For this study, 219 nurses in nursing dementia patients were treated in nursing hospitals. Using the Empathy Consensus Rating Scale (ECRS), basic model extraction, model modification, and model suitability verification were performed through factor structure search and confirmation factor analysis (CFA). The results of this study confirmed the validity and reliability of the constituents with 49 questions, including 3 factors including the acceptance of other emotions, the suppression of one's own emotions, and the exchange and interaction of emotions. According to these results, it is expected that the ECRS that can secure validity and reliability can be used for the study to confirm the nurse's Empathy in the dementia patients' nursing field.