• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2020.07a
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• pp.227-228
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• 2020

어린이 교통관련 안전사고 잠재적 위험요인 및 개선요인을 도출하기 위해 119구조구급자료 중 6세부터 11세까지의 어린이 사고 자료를 분석하였다. 4개 광역지자체의 2014년부터 5년간 자료에 대한 사고내용을 전수 조사하여 분석하였다. 주요 사고 장소 및 시간대 분석 결과 어린이 교통사고는 하교시간 오후 시간대에 도로에서의 집중적 관리가 필요한 것으로 나타났다. 어린이 교통사고 잠재적 위험요인을 분석한 결과 자동차와 자전거를 이외 탈 것에 관한 사고비율이 최근 높아지고 있음을 확인하였다. 연간 교통사고 전체 건수에 대한 추이는 큰 변화는 없었으나 개인 탈것의 사고 증가는 뚜렷하였다. 그 중 킥보드에 대한 사고가 가장 많았고, 퍼스널 모빌리티가 가장 뚜렷한 증가 분야였다. 현재 어린이에게 적용되고 있는 퍼스널 모빌리티 등에 대한 안전가이드라인이나 규정 등은 미비하나 향후 퍼스널 모빌리티의 보급은 크게 늘어날 것으로 전망된다. 향후 어린이 교통사고를 줄이기 위해서는 어린이가 개인 전동 이동수단 활용 시 안전에 대한 규정마련과 교육이 시급하다.

• Korean Journal of Culture and Social Issue
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• v.10 no.2
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• pp.39-77
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• 2004

This literature review introduced the concept of psychopathy which has never been defined academically in Korea. Also it is reviewed how this concept could be applied as latent factor of criminal behavior in the forensic settings. For this purpose, first of all, the periodical change of psychopathy definition was explored. Then it was investigated which determinants might develop psychopathy and what would be the behavioral characteristics of psychopaths. Finally, risk assessment tools measuring psychopathy were introduced and their predictive efficacy and applicability in Korean criminal justice system was discussed.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.30 no.4B
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• pp.361-366
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• 2010

It would be helpful to evaluate the potential flood damage and compare quantitatively with each other when establishing the regional flood countermeasure and determining the execution of the restoration works and emergency action plans. The Flood Damage Index (FDI) in Korea, possible to estimate localized potential risks caused by flood damages, therefore, was proposed in this study. It was considered with the scale of regional flood damages including the regional characteristics and quantitative grounds. First, the four significant causes were categorized as natural, social, politic, and facilitative ones. And the eleven selected factors representing four causes were determined. Finally, the FDI was obtained by the weighting linear summation of the corrected 11 factors multiplied by the weighting values based on the professional questionnaires. Employing the FDI, the potential risk analysis about flood damages for 229 cities and counties in Korea was conducted. These results would be utilized as the essential basis for more rational and practical countermeasures and plans against flood damage.

• Korean Journal of Culture and Social Issue
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• v.27 no.4
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• pp.561-584
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• 2021

This study was conducted to classify 601 Korean adults into latent classes according to their love types and identify the differences in depression and find variables that affect the latent classes classification. As a result of the latent class analysis, the latent group for love types of Korean adults were classified into the L-H (7.7%) group, which showed the highest level of all three factors of intimacy, passion, and commitment, and the L-MH (33.6%) group, which all three factors were higher than the average, the L-M (39.8%) group with the mean of all three factors, the L-ML (14.6%) group with all three factors lower than the mean, and the L-L (4.3%) group with the lowest all three factors. Also, as a result of ANOVA, the L-MH group was psychologically healthier and more adaptive than the L-ML group. As a result of multinomial logistic analysis, females were more likely to belong to L-M, L-ML and L-L groups than males. In addition, singles were more likely to belong to the L-M and L-ML groups than those who were married. Also, the higher the anxiety attachment level, the higher the likelihood of belonging to the L-M, L-ML, and L-L groups than the L-H and L-MH groups, the L-ML and L-L groups than the L-M groups, and the L-L group rather than the L-ML groups. However, age, neuroticism, and emotional regulation did not affect the classification of latent classes. This study is meaningful in that it identified the various latent classes for the love types of Korean adults more three-dimensionally and suggested the possibility of differential interventions according to the characteristics of each group.

• Journal of Korean Elementary Science Education
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• v.41 no.1
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• pp.65-78
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• 2022

This study aims to 1) verify the validity of the Science self-efficacy scale and 2) perform a latent mean analysis of the background variables about a pre-service teacher. The study uses pre-tests to analyze data from 187 pre-service teachers, which uses Tark's Science self-efficacy scale (2011). To identify the factor structure, exploratory factor analysis was performed. Based on the results of the pilot test, the expert group council revised the scale for the pre-service teachers to respond to the 3-factor structure. In the main test, 354 data were analyzed through a modified Science self-efficacy scale, and exploratory and confirmatory factor analyses were performed. The results of the study are as follows: First, in the pilot test, the pre-service teacher responded to a 3-factor instrument, but the validity of two items was examined further below. Second, the pre-service teachers responded to a 3-factor instrument on 29 items for the modified Science self-efficacy scale. The total reliability of the instrument was .886 and the reliability of each factor was analyzed as .882-.886. Finally, the latent mean analysis by gender showed that females have a higher self-regulation efficacy factor and males have a higher self-confidence factor (Cohen's d > .3). Furthermore, there is a significant difference in task difficulty preference and self-regulatory efficacy factor (Cohen's d > .8) between the college preparatory and science subject preference. This study provides important insights into and contributions to the accurate scientific self-efficacy diagnosis of pre-service teachers, as well as proposes a curriculum to improve the scientific self-efficacy of prospective teachers.

• Culinary science and hospitality research
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• v.15 no.2
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• pp.322-337
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• 2009

This study focused on the relationships of the effects of DINESERV quality upon customer satisfaction, revisit intention and word-of-mouth intention. In addition, it examined the potential mediation effects of customer satisfaction between DINESERV quality and revisit intention and between DINESERV quality and word-of-mouth intention. To meet the above goals, customers who visited 27 Korean restaurants in Jeonju city were surveyed. Total 428 valid copies of questionnaire were then obtained and used for the data analysis using SPSS and AMOS 16.0 for 2-stage analysis. As a result, it was found that some potential factors of DINESERV, such as service encounter, atmosphere and food quality had significant effects on customer satisfaction, but there was no significant effect in the relationship between DINESERV quality and revisit intention; convenience, a potential factor of DINESERV, had a significant effect on word-of-mouth intention; customer satisfaction had a significant effect on revisit intention and word-of-mouth intention; service encounter, atmosphere and food quality had indirect effects on revisit intention and word-of-mouth intention by way of mediation effects of customer satisfaction.

• Korean Journal of Agricultural and Forest Meteorology
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• v.15 no.4
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• pp.219-233
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• 2013

We employed the ecological niche modeling framework using GARP (Genetic Algorithm for Ruleset Production) to model the current and future geographic distribution of Pinus densiflora based on environmental predictor variable datasets such as climate data including the RCP 8.5 emission climate change scenario, geographic and topographic characteristics, soil and geological properties, and MODIS enhanced vegetation index (EVI) at 4 $km^2$ resolution. National Forest Inventory (NFI) derived occurrence and abundance records from about 4,000 survey sites across the whole country were used for response variables. The current and future potential geographic distribution of Pinus densiflora, one of the tree species dominating the present Korean forest was modeled and mapped. Future models under RCP 8.5 scenarios for Pinus densiflora suggest large areas predicted under current climate conditions may be contracted by 2090 showing range shifts northward and to higher altitudes. Area Under Curve (AUC) values of the modeled result was 0.67. Overall, the results of this study were successful in showing the current distribution of major tree species and projecting their future changes. However, there are still many possible limitations and uncertainties arising from the select of the presence-absence data and the environmental predictor variables for model input. Nevertheless, ecological niche modeling can be a useful tool for exploring and mapping the potential response of the tree species to climate change. The final models in this study may be used to identify potential distribution of the tree species based on the future climate scenarios, which can help forest managers to decide where to allocate effort in the management of forest ecosystem under climate change in Korea.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.2
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• pp.404-414
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• 2020

This study aims to explore latent classes in terms of changing patterns in achievement motivation among the samples from elementary school to middle school students in multicultural families and to investigate factors to predict latent groups and their relationship with academic achievement. 1254 pairs of mother and child from the 1st to 6th years of Multicultural Adolescents Panel Study (MAPS) was utilized for the Latent Class Growth Analysis (LCGA), One-way ANOVA, Multinomial Logistic Regression. The results showed that there were four distinct subgroups within the samples in terms of achievement goal orientations (i.e. very-high changing group, average changing group, low stable group, very-low stable group) at all six time points, and students who reported high achievement motivation were likely to have higher academic achievement. Four groups were extracted based on parent's efficacy, students' self-esteem, and teacher's support. Suggestions and practical implications for understanding the types of subgroups for the achievement motivation of multicultural families were discussed.

• Journal of Internet Computing and Services
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• v.15 no.6
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• pp.77-84
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• 2014

The purpose of this study is to explore factors affecting the effect of e-learning, and to find out the casual relationship among these factors. Subjects are 2,091 students who have participated in e-learning based class during the period of second semester in 2013. Those of them, 1,732 students response to the survey questions. After gathering data, they are analyzed by using Confirmative Factor Analysis and Structural Equation Modeling. From the result of Confirmative Factor analysis, data have reduced four factors, and are named as four latent variables likes e-learning effect, contents satisfaction, managing assistant factor, and system functional factor. From the result of Structural Equation Modeling, it is known as the relation and impact among factors: (a) "managing assistant factor" affects to "contents satisfaction" directly. (b) "contents satisfaction" affects to "e-learning effect" directly. (c) "system function factor" affects directly to "contents satisfaction", but does not affect directly to "e-learning effect". (d) both "managing assistant factor" and "system function factor" have an indirect effect on "e-learning effect" via "contents satisfaction".

• Korea Real Estate Review
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• v.27 no.4
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• pp.7-20
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• 2017

This study attempts to diagnose and categorize the characteristics of old industrial parks, and eventually link the results to the regeneration of industrial complexes. For this reason, we performed a factor analysis by utilizing 15 indices of 89 industrial parks, excluding 5 large equipment industry sites. The 15 indices were classified into 5 factors. Factor 1 can be described as a category of 'urbanization possibility' for the indices of building age, plot ratio of less than $1,650m^2$, and urbanization ratio of the surrounding area. Factor 2 can be described as a category of 'productive efficiency' for the indices of land productivity, amount of exports by land, employment productivity, and repair costs of industrial areas. Factor 3 can be described as a category of 'infrastructure amenity' for the indices of road ratio, plot ratio attached to the road, and parks and recreation ratio. Factor 4 can be described as a category of 'location potentiality' for the indices of land price, infrastructure age, and distance to the highway, while factor 5 can be described as a category of 'availability of supporting facilities' for the indices of parking lot ratio and supporting facility land ratio. By using these 5 factor scores, we were able to extract industrial parks included in the lower 25% of the factor score and searched for what kind of factor problem they have for each industrial park. Based on these results, this research will provide sufficient information on the decline of industrial parks with respect to their demerits. The results of this study show significant implications and contribute to the establishment of policies for regional competitiveness, as well as job creation, in the process of industrial regeneration.