• 한국벤처창업학회:학술대회논문집
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• 2019.04a
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• pp.103-107
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• 2019

최근 에어비앤비나 우버와 같은 협력적 소비 기반의 비즈니스모델을 가진 공유경제가 성장하고 있다. 본 논문은 공유경제에 대한 개념을 정의하고, 이용의도에 미치는 영향을 분석하였다. 본 논문은 경제적, 기능적, 경험적, 사회적 가치를 포함한 4가지 지각된 가치와 주관적 규범, 이미지, 사회적 임계점을 구성하는 3가지 사회적 영향이 공유경제 이용의도에 미치는 영향을 알아보고 신뢰와 사회적 규범, 네트워크와 사회구조를 포함한 사회적자본의 조절효과에 관심을 두고 있다. 가설을 검증하고자 온라인과 오프라인에서 설문조사를 실시하였고, 지각된 가치와 사회적 영향이 공유경제 이용의도에 미치는 영향을 알아보고자 변수별로 다중회귀분석을 실시하였다. 또한 사회적자본의 조절효과를 알아보기 위하여 위계적인 회귀분석을 실시하였다. 다중회귀분석 결과는 다음과 같다. 지각된 가치 중 경제적, 경험적 가치는 공유경제 이용의도에 영향을 미치는 것으로 나타났다. 위계적인 회귀분석의 결과에서 사회적자본은 지각된 가치와 사회적 영향의 공유경제 이용의도 관계에 있어 조절적인 영향을 미치는 것으로 나타났다. 본 연구는 지각된 가치를 통합적 분석, 기존 공유경제 연구에서 자주 다뤄지지 않았던 사회적 영향과 사회적자본의 요인을 다룬 점에 의미가 있지만, 설문조사 결과의 한계가 있었기에 향후 새로운 연구 방향성을 제시할 수 있다.

• The Journal of the Korea Contents Association
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• v.20 no.6
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• pp.695-704
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• 2020

Recently, There has been an increasing of utilization IT, and studies have been conducted on predicting learning results. In this study, Learning activity data were collected that could affect learning outcomes by using learning analysis. The survey was conducted at a university in South Chung-Cheong Province from October to December 2018, with 1,062 students taking part in the survey. First, A Hierarchical regression analysis was conducted by organizing a model of individual, academic, and behavioral factors for learning results to ensure the validity of predictors in machine learning. The model of hierarchical regression was significant, and the explanatory power (R²) was shown to increase step by step, so the variables injected were appropriate. In addition, The linear regression analysis method of machine learning was used to determine how predictable learning outcomes are, and its error rate was collected at about 8.4%.

• Journal of the Korean Society of Child Welfare
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• no.26
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• pp.87-111
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• 2008

The purpose of this study is to evaluate the actual conditions of peer victimization and to examine how the various factors of school climate influence peer victimization. Analysis on the relationship between various school climate and peer victimization has not been yet dealt with in Korea. Participants in this study were middle school students chosen from 11 middle schools in Seoul, by convenience sampling. A total of 1,204 surveys were then analyzed. Methods for analysis included Frequencies, Descriptives, Pearson's Correlation, Hierarchical Regression. From the result of the analysis, the level of verbal violence came out to be a relatively high form of peer victimization. The hierarchical regression were conducted in two steps. The second model's descriptive variable was higher by 19.6% than the first model. The variables of interaction between teacher and student in peer violence(${\beta}=.130$), of school facility maintenance(${\beta}=.067$), of safety of school environment(${\beta}=.331$), and economic status and sex out of controlled variables were proved to be of significance, and those variables explained 23.0% of the entire model. Based on the results of this study, practical and effective policy solutions to improve the school climate better have been suggested.

• The Journal of the Korea Contents Association
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• v.15 no.11
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• pp.177-191
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• 2015

This study was designed to investigate the differences in the mediation effects of cognitive emotion-regulation in the relationships between family stress and marital satisfaction of middle-aged husbands and wives. The data were underwent through the SPSS 19. Win for frequency, paired-t-test, multiple regression analysis, and for the further analysis of hiearchical multiple regression and the analysis for the mediation effect proposed by Baron & Kenny(1996) and Sobel test(Sobel, 1982). The results were as follows. First, hiearchical multiple regression analysis showed that education level, couples' problems, replanning strategies were proved to be significant for the marital satisfaction of the husbands, while age, couples' problems, acceptance strategies were significant for the marital satisfaction of the wives. Second, cognitive emotion-regulation strategies were proved to partially mediate in the relationship between family stress and marital satisfaction. The limitations of the study and implications for the further research were discussed based on the results.

• Proceedings of the Korea Contents Association Conference
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• 2013.05a
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• pp.171-172
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• 2013

우울은 군대 내 발생되는 극단적인 사고 중 하나인 자살의 주요 원인으로 제시되어 왔다. 본 연구는 군인들의 우울, 불안 및 자아존중감의 수준을 파악하고, 우울의 영향요인을 탐색하고 이들을 예측하는데 주로 사용해 왔던 다중회귀분석 방법과 효과적인 의사결정방법으로 알려진 회귀나무모형의 효과성을 비교해보고자 하였다. 방법: 횡단적 조사연구이며, 우울측정에는 CES-D, 불안측정은 SAI, 자아존중감은 Rosenberg(1965)의 도구를 사용하였다. 연구대상자는 강원도 전방 부대 근무 중인 군인이며, 534부가 회수되었다. SPSS/WIN 18.0을 이용하여 위계적 다중회귀분석과 회귀나무모형을 실시하였다. 결과: 대상자들의 우울, 불안 및 자아존중감의 정도는 각각 $10.7({\pm}9.8)$, $38.5({\pm}10.2)$과 $31.7({\pm}5.2)$이었다. 대상자의 23.6%(126명)가 경한 우울을 나타내었다. 다중회귀분석에 의한 우울 영향요인은 불안, 자아존중감과 복무기간이었으며, 우울에 대하여 62.0%의 설명력을 가지고 있었다. 또한 회귀나무모형에서는 높은 불안과 불안이 다소 낮더라도 전역 후 진로가 불확실한 집단이 우울 위험군일 것으로 예측되었다. 결론: 본 연구 대상자들의 우울의 주요 영향요인은 불안으로 나타났다. 군대 내에서 적용할 수 있는 불안 조절 방법 개발이 필요할 것으로 보인다. 또한 일부 요인에서 차이가 있어, 반복 연구가 필요하지만, 주요 변인인 불안을 예측했다는 점에서 보면 다중회귀분석과 회귀나무모형은 군인들의 우울을 예측에 유용한 방법으로 보인다.

• Journal of the Korean Data and Information Science Society
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• v.27 no.4
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• pp.935-946
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• 2016

In this paper, we analyzed wage determinants of the vocational high school graduates utilizing both individual-level and work region-level variables. We formulate the models in the way wage determination has multi-level structure in the sense that individual wage is influenced by individual-level variables (level-1) and work region-level (level-2) variables. To incorporate dependency between individual wages into the model, we utilize hierarchical linear model (HLM). The major results are as follows. First, it is shown that the HLM model is better than the OLS regression models which do not take level-1 and level-2 variables simultaneously into account. Second, random effects on sex, maester dummy and engineering dummy variables are statistically significant. Third, the fixed effects on business hours and mean wage of regular job for level-2 variables are statistically significant effect individual-level wages. Finally, parental education level, parental income, number of licenses and high school grade are statistically significant for higher individual-level wages.

• Korean Journal of Social Welfare
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• v.58 no.1
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• pp.347-372
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• 2006

Drinking Problems among college students have been increasing and being severe social problems. When it is compared with other areas, the research about drinking problems of college students are rare. This study was to examine psychosocial factors influencing on problem drinking among college students. The sample size of this study was 414, which made it possible to do statistical inference. AUDIT was applicated to measure the drinking problems in college student. As statistical method, $X^2$-test, t-test, hierarchial multiple regression analysis were used. The main finding provided that drinking problem of college students was more severe than adult one. Especially binge drinking pattern was remarkable. Male student had many alcohol problems than female students. This study also revealed gender, religious activity, first drinking age, sensation -seeking, drinking motivation, parents' drinking problem, schoolwork record, peer influence had significant direct impact in problem drinking of college students. Based on the results of this study, the author suggested some practical implication and preventive program based on the results and added further study tasks.

• Proceedings of the Korean Society of Disaster Information Conference
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• 2015.11a
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• pp.175-185
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• 2015

본 연구에서는 TOD는 대중교통수단의 분담율 제고가 목적인데 이를 위한 정책대안의 모색에 필요한 새로운 분석기법을 제시하였다. 교통수단의 결정요인은 개인 특성과 라이프스타일 그리고 도시공간특성인데 이 요인들은 상호의존적으로 복합적 결합작용은 한다. 또한 개인과 그룹 및 지역 특성은 서로 다른 차원에서 상호의존성을 갖는다. 전통적 회귀분석과는 달리 위계적 분석모형은 요인들 간의 상호의존성과 복합결합적 영향관계를 규명하는 장점이 있다. 이러한 분석 기법에 의한 결과는 보다 효율적인 TOD정책 대한의 모색에 많은 기여를 할 것으로 기대된다.

• Journal of Industrial Convergence
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• v.19 no.1
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• pp.7-15
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• 2021

The purpose of this study is to investigate factors affecting conflict of teachers in school. Researchers selected independent variables in personal, school, and local levels and analyzed their influence on conflict of faculty and staff, students and parents, and educational policy. We used 561 survey responses of teachers working in S City Office of Education and conducted hierarchical multiple regression analysis using SPSS 24.0. For results, we found out that variables such as career in the level of person, homeroom teacher and status in the level of school, and location in the level of region were statistically significant. Researchers suggested possible solutions which can be considered by school district and school officials.

• Journal of the Society of Disaster Information
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• v.11 no.4
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• pp.506-514
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• 2015

In this study, a new analytical techniques is proposed for seeking policy alternatives aimed at objectives of TDM, increasing the transit rideshare. Determinants of travel mode such as personal characteristics, lifestyle, and urban spatial characteristics are interdependent and have combined effect on decision. In addition, individuals, groups, and regional characteristics have interdependencies at different levels. Unlike traditional regression analysis, hierarchical analysis model has the advantage of identifying interdependencies and complex relationship between the combined impact factors. This analysis technique is expected to be a significant contribution to seek a more efficient TOD policy.