• Title/Summary/Keyword: 3 요인 모형

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Development of Cyber Training Content for Newly Employed Public Services Librarians (신임사서공무원을 위한 기본소양 사이버 연수용 콘텐츠 개발)

  • Lee, Shin-Ho;Yang, Hae-Sool
    • Journal of the Korean BIBLIA Society for library and Information Science
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    • v.22 no.3
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    • pp.289-316
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    • 2011
  • This study sets out to examine training courses for newly government-employed librarian for developing training contents to learn their basic knowledge, and suggests development model about training contents' planning, designing and making-process. In addition, in order to evaluate cyber training contents it devises self-evaluating tool, conducts a reviewing of questionnaire and measure by Delphi method. The final content made under the cyber contents development model proposes the six areas and 28th trials. Feasibility assessment for the purpose of evaluating educational contents, based on 17 questions to measure the factor analysis results, it yields, it yields 4 factors having more than .40 variance. Though differences in perception depending on factors did not show statistical significance, the difference in the adequacy of questions results significantly lower in some of them.

Types of Changes in Overt Aggression and Their Predictors in Early Adolescents : Growth Mixture Modeling (초기 청소년의 외현적 공격성 변화유형과 예측요인 : 성장혼합모형의 적용)

  • Seo, Mi-Jung;Kim, Kyong-Yeon
    • Korean Journal of Child Studies
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    • v.31 no.3
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    • pp.83-97
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    • 2010
  • Growth mixture modeling was used to identify types of changes in overt aggression from Grades 4 to 7 among a sample from the Korean Youth Panel Survey. Three discrete patterns were found to adequately explain changes of overt aggression in both boys and girls : Persistent intermediate aggression; Increasing aggression; and Decreasing aggression. Most boys (93%) fell into the Persistent intermediate aggression group and 49% of girls were found to fall into the Increasing aggression group. This suggests that prevention programs should recognize that girls are at risk of increasing aggression in their early adolescence. Multinomial logistic regression analysis shows that self-control, child abuse, peer support, and involvement with deviant peers at Grades 4 were all strongly associated with trajectory class membership. These associations did not differ by gender. These findings suggest that prevention programs should focus on the multiple risk factors of both boys and girls.

기술수용모형을 적용한 무선인터넷 서비스의 채택에 관한 연구

  • 김문구;박종현;지경용
    • Proceedings of the Korea Technology Innovation Society Conference
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    • 2005.10a
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    • pp.503-510
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    • 2005
  • 전체 인구대비 가입률이 $80\%$에 육박하는 이동통신서비스를 기반으로 국내에서 무선인터넷은 눈부시게(outstanding) 성장을 거듭하고 있다. EV-DO를 중심으로 제 3세대 이동통신 기술의 진화와 카메라 폰 등의 최신의 무선 단말기 보급, 게임 및 SMS, MMS, LBS 등의 콘텐츠 보급 등이 무선인터넷 성장의 원동력(growth factors)으로 작용하고 있다. 본 연구에서는 정보기술수용모형(TAM)을 기반으로 국내에서 무선인터넷 확산 영향요인을 규명하기 위한 탐색적인 목적으로 수행되었다. 이를 위하여 무선인터넷의 네트워크 품질, 콘텐츠 품질, 단말기 품질, 초기 비용, 이용요금, 유용성, 이용용이성, 사회적 영향, 이용태도, 이용행동 등에 관한 자료를 설문 조사를 통해 수집하였다. 그리고 구조방정식을 통하여 각 요인들간의 인과관계를 실증적으로 검증하였다. 그리고 국내에서 무선인터넷에 대한 이용의향을 바탕으로 고객군을 세분화하고 집단의 특성을 파악하였다.

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Task Satisfaction, Job Satisfaction, Organizational Commitment, and Turnover Intension of Center for Children's Foodservice Management Employees (어린이급식관리지원센터 직원의 업무만족, 직무만족, 조직몰입 및 이직의도)

  • Park, Eun Hye;Lee, Young Eun
    • Journal of the Korean Society of Food Science and Nutrition
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    • v.44 no.12
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    • pp.1881-1894
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    • 2015
  • The objective of this study was to provide information on difficulty of performing tasks, degree of task satisfaction, job satisfaction, organizational commitment, and turnover intention as well as investigate correlations among these factors. Data were collected on employees working at Centers for Children's Foodservice Management, which had been operating for over 6 months until December 2013. The recruitment period was from December 16, 2013 to January 30, 2014. A total of 228 employees (79.7%) participated in the study, and 227 completed questionnaires were analyzed. Statistical analyses were performed on the data utilizing the SPSS V20.0 and AMOS V21.0 programs. The main results of this study were as follows: task satisfaction of employees in charge of 'visiting-teaching' for children was highest (4.24 points), whereas that of employees in charge of financial management was lowest (2.92 points). In terms of evaluation of job satisfaction factors, the score of 'co-worker' was highest (3.99 points) while that of 'payment' was lowest (2.45 points). Average scores of general job satisfaction, organizational commitment, and turnover intention were 3.56 points, 3.54 points, and 3.07 points, respectively. Job achievement was the most significant influencing factor on general job satisfaction, organizational commitment, and turnover intention. According to the path analysis results, the degree of task satisfaction affected job satisfaction. Organizational commitment had a more significant effect on turnover intention than job satisfaction and mediate both job satisfaction and turnover intention. Although employees of CCFSMs endeavor to improve the quality of child-care facility foodservice, some facilities do not. Controlling turnover intention of employees is especially critical for CCFSMs since it is important for each employees to form strong bonds with child-care facilities as well as to shorten the time required to train new employees. Thus, job satisfaction, which is related to organizational commitment and turnover intention, can be improved by considering poorly scored job satisfaction factors such as wage or workload.

The Effects of Motivational Factors on the Intention to Contribute Knowledge to Online Communities (온라인 지식 커뮤니티에서의 지식기여 의도의 동기요인)

  • Kim, Jong-Ae
    • Journal of the Korean Society for Library and Information Science
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    • v.43 no.3
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    • pp.297-312
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    • 2009
  • This study examined the intrinsic and extrinsic motivational factors affecting the intention to contribute knowledge to online communities. It examined enjoyment, knowledge self-efficacy, and commitment as the intrinsic motivational factors, and anticipated reciprocity, image, and subjective norm as the extrinsic motivational factors. The results showed that intrinsic motivational factors, enjoyment and knowledge self-efficacy were found to have significant influences on attitudes towards knowledge contribution to online communities, but commitment was not. Of the extrinsic motivational factors, anticipated reciprocity was found to have a significant influence on attitudes toward knowledge contribution to online communities, but image and subjective norm were not.

Measuring the Effects of Value, Customer Satisfaction and Loyalty on Tourists' Behavioral Intention for Restaurants in Icheon Area (이천 지역 음식점에 대한 관광객 행동 의도에 미치는 가치, 고객 만족과 충성도의 영향 평가)

  • Lee, Jae-Kon
    • Culinary science and hospitality research
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    • v.15 no.4
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    • pp.187-199
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    • 2009
  • The objective of the research is to investigate the causal relationships among functional value, emotional value, social value, perceived sacrifice, satisfaction, loyalty and behavioral intention. All in all, 296 respondents completed a questionnaire themselves in the presence of an interviewer who could be consulted about the response scales and other technical matters. Behavioral intention models were estimated by structural equation modelling using 7 latent constructs. The results demonstrated that the confirmatory factor analysis model provided a good model fit. The unconstrained model yielded a significantly better fit to the data than the constraint model. The effects of functional value and social value on satisfaction and behavioral intention were statistically significant. The effects of perceived sacrifice, satisfaction and loyalty on behavioral intention were statistically significant. As expected, satisfaction had a significant effect on loyalty. Functional value had an indirect effect on behavioral intention through satisfaction and loyalty. Moreover, social value had an indirect effect on behavioral intention through satisfaction and loyalty. Replicating and extending this study in other regions and other samples would test the generalizability of the present findings and provide a basis for an external validation of the framework developed in this paper.

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An analysis of depression of the individuals with disabilities using repeated measurement data (반복 측정 자료를 이용한 장애인 우울에 대한 분석)

  • Hong, Haesun;Huh, Jib
    • Journal of the Korean Data and Information Science Society
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    • v.28 no.5
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    • pp.1055-1067
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    • 2017
  • Most previous works to study for the depression of the disabilities in Korea have analyzed the repeated measured data of each individual under the mutually independent assumption. In this study, Korea Welfare Panel data of the disabilities surveyed additionally every three years are analyzed to detect the significant exploratory variables by the linear mixed models. A suitable correlation matrix is considered for the dependency of repeated measurement of each individual. The random effect to reflect the characteristics of the individuals as well as the fixed effect is included in the fitted linear mixed model. By the residual plot of the fixed effect model, the problem that the averages of residuals of each individual do not seem to be around zero is described. Further, the residual plot and the Q-Q plot coming from the selected final model are shown that the problem is modified well.

A Study of Safety Accident Prediction Model (Focusing on Military Traffic Accident Cases) (안전사고 예측모형 개발 방안에 관한 연구(군 교통사고 사례를 중심으로))

  • Ki, Jae-Sug;Hong, Myeong-Gi
    • Journal of the Society of Disaster Information
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    • v.17 no.3
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    • pp.427-441
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    • 2021
  • Purpose: This study proposes a method for developing a model that predicts the probability of traffic accidents in advance to prevent the most frequent traffic accidents in the military. Method: For this purpose, CRISP-DM (Cross Industry Standard Process for Data Mining) was applied in this study. The CRISP-DM process consists of 6 stages, and each stage is not unidirectional like the Waterfall Model, but improves the level of completeness through feedback between stages. Results: As a result of modeling the same data set as the previously constructed accident investigation data for the entire group, when the classification criterion was 0.5, Significant results were derived from the accuracy, specificity, sensitivity, and AUC of the model for predicting traffic accidents. Conclusion: In the process of designing the prediction model, it was confirmed that it was difficult to obtain a meaningful prediction value due to the lack of data. The methodology for designing a predictive model using the data set was proposed by reorganizing and expanding a data set capable of rational inference to solve the data shortage.

Assessment of Uncertainty in SWAT Model Derived from Parameter Estimation Using SWAT-CUP (SWAT-CUP 매개변수 추정에 따른 SWAT 모형 불확실성 평가)

  • Yu, Jisoo;Noh, Joonwoo;Cho, Younghyun;Hur, Youngteck;Kim, Yeonsu
    • Proceedings of the Korea Water Resources Association Conference
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    • 2020.06a
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    • pp.314-314
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    • 2020
  • SWAT (Soil and Water Assessment Tool)은 미국 농무성 농업연구소에서 개발된 준분포형(semi-distributed) 수문 모형으로 복합토지이용유역에서 장기간에 걸친 다양한 종류의 토양, 토지이용 및 토지관리 상태의 변화에 따른 유역의 유출량, 유사량 및 영양물질의 영향을 예측하기 위해 개발되었다. SWAT은 기본적으로 다양한 매개변수에 대한 수동 보정 기능을 제공하고 있지만 매개변수 보정에 따른 모의결과의 불확실성을 수반하게 된다. 이러한 문제를 해결하기 위해 자동보정 기능을 제공하는 SWAT-CUP (Calibration and Uncertainty Program)이 개발되었다. SWAT-CUP에서 제공하는 매개변수의 최적화 과정에서 유사한 모의 결과를 산출하는 수천 개의 매개변수조합이 존재하기 때문에 보정기법의 선택에 따라 최종 매개변수의 값이 달라질 수 있다. 불확실성을 발생시키는 요인으로 (1) 매개변수의 선택, (2) 보정 기법, (3) 목적함수, (4) 매개변수의 초기 범위, (5) 모의(simulation)의 실행(run) 및 반복(iteration) 횟수, (6) 위치, 개수 등 보정 자료의 선택 등이 주로 지목된다. 이러한 요인으로 발생하는 불확실성은 SWAT 모형의 구조 및 입력 자료에서 기인하는 것으로, 사용자의 설정에 따라 크게 좌우된다. 본 연구에서는 SWAT 매개변수 보정 과정에서 발생할 수 있는 불확실성을 평가하고, 효율적인 보정 방안을 제시하기 위해 수행되었다. 낙동강 권역의 내성천 유역을 대상으로 SWAT 모형을 구축하였으며, 내성천 본류에 위치한 수위(유량) 관측소의 자료를 활용하여 검·보정을 수행하였다. 모의 결과는 유량의 크기 뿐 아니라 유량의 발생 시기, 유역의 반응 및 증가·감소 경향성을 함께 고려하여 평가하였다. 그 결과 모형 구조에 따른 불확실성의 전이과정을 정확하게 파악하는 것은 불가능하지만 SWAT 모형의 비고유성(non-uniqueness)에 의한 불확실성을 정량화하여 나타내었다.

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Influential Factors on the Change in Life Satisfaction of Elderly Households -Longitudinal Analysis using a Latent Growth Model (노인가구 노인의 삶의 만족도 변화에 미치는 영향 요인 -잠재성장모형을 이용한 종단연구)

  • Kim, Jin-hun
    • The Journal of the Korea Contents Association
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    • v.19 no.1
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    • pp.339-349
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    • 2019
  • The purpose of this study is to analyze the influential factors on the change in life satisfaction of elderly households. In this study, single and couple elderly households were defined as elderly households and the 2nd, 3rd, and 4th data of the Korean Longitudinal Survey of Ageing (KLoSA) provided by the Korea Employment Information Service (KEIS) were used. And 677 respondents aged 65 and over who had replied to all 3 sessions were included in the final subjects. multinomial logistic regression analysis was conducted to examine the influential factors on life satisfaction by the type of elderly households according to consumption pattern and the result showed that there were common influential factors such as house owning status and subjective health status and the factors that influence specific types such as expectancy of standard of living. In addition, in the longitudinal analysis of life satisfaction of elderly households, individual satisfaction level was confirmed to reduce with time and the factors that influence the longitudinal change in the level of life satisfaction of elderly households was analyzed through the conditional model of a latent growth model. The analysis results showed that household type, house owning status, and subjective health status influenced the initial value of life satisfaction of elderly households while household type and expectancy of living standard influenced the change rate of life satisfaction of elderly households. Based on the results of this study, the followings are suggested. There is a need to improve the life satisfaction of old age by increasing the opportunity for self-realization of elderly households and also policy approach should be made selectively taking various types into consideration.