The purpose of this study is to confirm the structural relationship between parental support, relationships with teachers, and stress variables on adolescents' mental health. Among the panel of 7,324 third-year high school students in the 8th survey in 2020 of the ‘Korean Education Longitudinal Study 2013’ conducted by the Korea Educational Development Institute, 6,054 people who participated in the survey were selected as research subjects. Frequency analysis, descriptive statistics, correlation analysis, and Bayesian structural equation model path analysis were performed using SPSS 26.0 and Amos 24.0. First, adolescents' parental support had a statistically significant positive effect on their mental health. Second, the relationship with teachers had a negative effect on stress and a positive effect on mental health. Third, it was confirmed that stress has a negative effect on the mental health of adolescents. Fourth, relationships with teachers had a positive effect on mental health with stress as a mediating variable. This study identified predictors that affect mental health at the point when adolescents' mental health problems become serious, and the research results can serve as data related to policy establishment and program operation in educational settings to improve mental health.

본 연구는 아프리카 전자상거래 법률 및 규정이 중국-아프리카 디지털 무역에 끼치는 영향을 탐색한다. 이를 위해, 구조방정식 모델링을 이용해 중국-아프리카 ICT 상품 무역액, 아프리카 전자상거래 발전 지수, 그리 고 전자상거래 법률 및 규정간의 상호 영향을 분석하였다. 결과적으로, 아프리카 전자상거래 법률 및 규정이 아프리카 전자상거래 발전과 중국- 아프리카 디지털 무역에 모두 긍정적으로 작용함을 확인하였다. 하지만 과도한 세금은 이러한 발전을 제한하는 요소로 작용하였다. 이 연구는 방법론적 혁신을 포함하며, 아프리카 전자상거래 법률 및 규정의 개선과 디지털 무역의 발전을 촉진하는 실증적 근거를 제시하였다. 다만, 데이터 와 이론적 한계로 인한 제약점이 존재하며, 향후 연구는 이를 극복하기 위한 방안을 제시하였다. 이 연구는 이론적 가치와 실질적 시사점을 제 공한다.

With the development of information technology, online food delivery services have significantly changed people’s food consumption patterns. The outbreak of COVID-19 has further facilitated the development due to restaurant restrictions and social distancing measures. Due to the emergence of online food delivery services, scholars have paid increasing attention to this popular topic, and a large number of studies have examined which factors are related to consumers’ intention to use online food delivery services. However, previous studies showed inconsistent findings, and relationships between variables lack a comprehensive understanding. Therefore, this study aimed to develop a research model and examine the factors influencing consumers’ intention to use online food delivery services. By reviewing and analyzing 52 studies with 53 independent samples (N = 22,937), the meta-analytic structural equation modeling approach was carried out to assess the research model. The findings indicate that two attributes of online food delivery services (i.e., convenience and price-saving orientation) play different roles in the research model. Specifically, convenience significantly impacted perceived ease of use but had no direct impact on perceived usefulness. Price-saving orientation significantly influenced both perceived ease of use and perceived usefulness. Moreover, relationships between perceived ease of use, perceived usefulness, and perceived trust were significant, and these factors ultimately significantly led to the intention to use food delivery services. The findings contribute to theoretical advancement in the extant literature on food delivery services and help firms develop to provide better food delivery services for consumers’ continuous usage.

This study aimed to analyze causality of climatic factors that affecting the yield of whole crop barley (WCB) by constructing a network within the natural ecosystem via the structural equation model. The WCB dataset (n=316) consisted of data on the forage information and climatic information. The forage information was collected from numerous experimental reports from New Cultivars of Winter Crops (1993-2012) and included details of fresh and dry matter yield, and the year and location of cultivation. The climatic information included details of the daily mean temperature, precipitation, and sunshine duration from the weather information system of the Korea Meteorological Administration. The variables were growing days, accumulated temperature, precipitation, and sunshine duration in the season for the period of seeding to harvesting. The data was collected over 3 consecutive seasons—autumn, winter, and the following spring. We created a causality network depicting the effect of climatic factors on production by structural equation modeling. The results highlight: (i) the differences in the longitudinal effects between autumn and next spring, (ii) the factors that directly affect WCB production, and (iii) the indirect effects by certain factors, via two or more paths. For instance, the indirect effect of precipitation on WCB production in the following spring season via its effect on temperature was remarkable. Based on absolute values, the importance of WCB production in decreasing order was: the following spring temperature (0.45), autumn temperature (0.35), wintering (-0.16), and following spring precipitation (0.04). Therefore, we conclude that other climatic factors indirectly affect production through the final pathway, temperature and growing days in the next spring, in the climate-production network for WCB including temperature, growing days, precipitation and sunshine duration.

한문에 대한 교육을 탐색하는 한문과 교육은 한문이라는 언어를 가르치고 배우는 언어교과라고 정의내릴 수 있다. 한문교육은 읽기 교육에 집중되어야 하고, 교과목표는 일차적으로 한문 텍스트 읽기 능력 향상을 토대로 설정되어야 한다. 한문의 언어적 특성과 한문 교과서에 실린 텍스트의 특성에 맞는 한문 텍스트 이독성 공식 개발은 한문 읽기 교육 내용의 위계를 설정하는데 시의적절 한 과제라 할 수 있다. 이 연구는 한문 텍스트 이독성 공식의 한계점과 현장의 비판점을 수용하여 설명력이 높은 이독성 공식을 개발하고자 한다. 또, 기존 이독성 공식 연구와는 달리 전체 기대 요인들 간의 상관관계를 파악하여 이독성 공식을 보완하는 방안을 강구하고자 한다. 이 연구는 기존의 한문 이독성 공식 개발 연구 방법에 ‘구조방정식 모형(Structure Equation Model: SEM)’을 활용한다. 단, 여기서 는 한문텍스트 이독성 공식 개발 과정의 기초 과제인 한문교육용 기초한자 1,800자 대표 훈·음, 텍스트 크기에 따른 공식 개발 가능성 탐색, 기대 요인 상호 관계 파악을 위한 설문 결과 분석을 중심으로 보고한다. 향후 예상되는 연구의 기대 효과는 다음과 같다. 첫째, 학습자 수준에 적절한 텍스트 선정 기준을 마련하여 한문 독해 교육을 효율적으로 수행할 수 있는 기반을 마련할 수 있다. 둘째, 한문 독해에 영향을 미치는 기대 요인 상호 관계를 구조방정식 모형을 통해 규명함으로써 한문 독해 연구의 토대로 작용할 것이다. 셋째, 구조방정식 모형을 통해 기존 한문 텍스트 이독성 공식을 보완함으로써 기대 요인들과 텍스트 난도 간의 상세한 상관관계를 가시적으로 나타내 줄 수 있을 것이다.

PURPOSES : This study was purposed to identify the relationships between route characteristics and accident characteristics using the data of 124 routes collected from 78 of the 136 Seoul Neighborhood bus companies. METHODS : A structural equation modeling technique was employed for the analysis. The following four factors that were determined to influence the characteristics of Neighborhood bus accidents were implemented: driver characteristics, route characteristics, driver working conditions, and the management conditions of each company. Additionally, the two dependent variables were set as vehicle to vehicle accidents and vehicle to pedestrian accidents. RESULTS : The results of factor analysis revealed that the management conditions of each company had a negative effect on the working conditions, and that driver characteristics had a negative influence on accident characteristics in the three models. The effects of three major factors such as route characteristics, management conditions of the company, and working conditions on vehicle-to-vehicle accidents were likely to be opposite to the influences on vehicle-to-pedestrian accidents. CONCLUSIONS : Through the analysis of these results, we identified the characteristic causes of Neighborhood bus accidents. Specifically, a driver with more experience is less likely to be involved in a Neighborhood bus accident, and a narrower road is associated with higher accident risk. These results can be used as a reference to improve route and safety management for Neighborhood buses. Furthermore, this study is expected to contribute to the establishment of improved strategies to effectively reduce the number of Neighborhood bus accidents.

The purpose is to identify the impacts of internal and external integrations in an automotive supply chain in Thailand. Data are collected from automotive firms in Thailand and are analyzed using structural equation modeling (SEM). The result indicates that both internal and external integrations are significant factors affecting market flexibility.

Modern football has transformed into a scientific football based on data. With this trend, various methods for tactics studies and outcome prediction have been developed on the perspective of data analysis. In this paper, we propose a structural equation model for football game. We analyze critical factors that affect to the winning of game except psychological parts and the causal relationship between latent variables and observed variables is statistically verified through the proposed structural equation model. The results show that the Passing ability and the Ball possession affect to the Attack ability, and consequently it has a positive impact on the winning of game.

PURPOSES: The purpose of this study is to verify traffic accident injury severity factors for elderly drivers and the relative relationship of these factors. METHODS: To verify the complicated relationship among traffic accident injury severity factors, this study employed a structural equation model (SEM). To develop the SEM structure, only the severity of human injuries was considered; moreover, the observed variables were selected through confirmatory factor analysis (CFA). The number of fatalities, serious injuries, moderate injuries, and minor injuries were selected for observed variables of severity. For latent variables, the accident situation, environment, and vehicle and driver factors were respectively defined. Seven observed variables were selected among the latent variables. RESULTS: This study showed that the vehicle and driver factor was the most influential factor for accident severity among the latent factors. For the observed variable, the type of vehicle, type of accident, and status of day or night for each latent variable were the most relative observed variables for the accident severity factor. To verify the validity of the SEM, several model fitting methods, including , GFI, AGFI, CFI, and others, were applied, and the model produced meaningful results. CONCLUSIONS: Based on an analysis of results of traffic accident injury severity for elderly drivers, the vehicle and driver factor was the most influential one for injury severity. Therefore, education tailored to elderly drivers is needed to improve driving behavior of elderly driver.

PURPOSES: Daejeon is basically divided into an old downtown and a new downtown, and the recent relocation of the Chungcheongnam-do Provincial Government of Republic of Korea from the old downtown and the opening of governmental buildings in the new downtown as well have made this new downtown only densely populated with industrial and business facilities. Such changes in the downtowns have promoted the conditions of the new downtown while, consequently, dragging down the old downtown. Out of concern for those unbalanced developments of the two downtowns, Daejeon is now carrying out several city projects to revive the old downtown. In the light of that, as a part of the project to promote the old downtown, this study aims to conduct an evaluation on landscape of the culture and arts street in Daeheungdong which was built upon those ideas of a theme street project by Daejeon. METHODS: Based on the findings from the questionnaire not only on the components that would design the streetscape of the culture and arts street but also on the public satisfaction with the streetscape, the study defined how those changes in the components affect emotional factors of the pedestrians. In order to achieve the research goal, the study made changes in D/H ratio of the street structural components as well as the roadside trees. In terms of the questionnaire method, the study used the SD scale, and proceeded with its investigation through the frequency analysis, the principal component analysis (the factor analysis) and the structural equation model. RESULTS : According to the results from the factor analysis and the regression analysis, of those three factors, such as the openness, the comfortable sensation and the safety, the openness followed by the comfortable sensation and the safety was determined to have the most positive influence on the total satisfaction. The structural model analysis reported that the D/H and the structural components of the roadside trees and planting have a positive effect on the emotional image, and this emotional image also appeared to be positively related to the total satisfaction. CONCLUSIONS : This study looked into how the changes in the street structural components of the culture and arts street in Daeheungdong would affect the satisfaction with the streetscape, and finally confirmed that the D/H and the planting are what would have a positive effect on this satisfaction. What has been learned from this study will be the basic data to figure out how to promote and improve the culture and arts street in Daeheung-dong as this data will also help designing and developing of those specialized streets in other regions.

Estimation approaches for casual relation model with high-order factors have strict restrictions or limits. In the case of ML (Maximum Likelihood), a strong assumption which data must show a normal distribution is required and factors of exponentiation is impossible due to the uncertainty of factors. To overcome this limitation many PLS (Partial Least Squares) approaches are introduced to estimate the structural equation model including high-order factors. However, it is possible to yield biased estimates if there are some differences in the number of measurement variables connected to each latent variable. In addition, any approach does not exist to deal with general cases not having any measurement variable of high-order factors. This study compare several approaches including the repeated measures approach which are used to estimate the casual relation model including high-order factors by using PLS (Partial Least Squares), and suggest the best estimation approach. In other words, the study proposes the best approach through the research on the existing studies related to the casual relation model including high-order factors by using PLS and approach comparison using a virtual model.

The research is a correlational study to look for causes and factors relating to the design of written documents (professional reading materials) and identify those relationships that are useful for communication designers. The research specifically targeted the relationships between perception and reader’s past experiences and appearance of the written documents. A preliminary survey, such as interviews, discussions, questionnaires and brainstorming sessions are conducted to establish the observable attributes related to perception which are reader’s interests, importance of information and written documents complexity. Finally, the research used Structural Equation Model (SEM) to identify significant differences and analyze strong and weak correlations between these attributes. In general, the results of the study shows that the attribute appearances of a written documents with excellent visualizations for information display shows a strong correlation with interests while the attributes importance is weakly correlated with the complexity of the documents.

PURPOSES : Traffic accidents at intersections have been increased annually so that it is required to examine the causations to reduce the accidents. However, the current existing accident models were developed mainly with non-linear regression models such as Poisson methods. These non-linear regression methods lack to reveal complicated causations for traffic accidents, though they are right choices to study randomness and non-linearity of accidents. Therefore, to reveal the complicated causations of traffic accidents, this study used structural equation methods(SEM). METHODS : SEM used in this study is a statistical technique for estimating causal relations using a combination of statistical data and qualitative causal assumptions. SEM allow exploratory modeling, meaning they are suited to theory development. The method is tested against the obtained measurement data to determine how well the model fits the data. Among the strengths of SEM is the ability to construct latent variables: variables which are not measured directly, but are estimated in the model from several measured variables. This allows the modeler to explicitly capture the unreliability of measurement in the model, which allows the structural relations between latent variables to be accurately estimated. RESULTS : The study results showed that causal factors could be grouped into 3. Factor 1 includes traffic variables, and Factor 2 contains turning traffic variables. Factor 3 consists of other road element variables such as speed limits or signal cycles. CONCLUSIONS : Non-linear regression models can be used to develop accident predictions models. However, they lack to estimate causal factors, because they select only few significant variables to raise the accuracy of the model performance. Compared to the regressions, SEM has merits to estimate causal factors affecting accidents, because it allows the structural relations between latent variables. Therefore, this study used SEM to estimate causal factors affecting accident at urban signalized intersections.

컴퓨터의 제한된 코어메모리로 대형문제를 해결하기 위하여 디스크를 마치 메모리처럼 사용할 수 있는 가상 메모리 데이타베이스 기법을 개발하였다. 이 기법과 아울러 최대 가용코어메모리를 작동시키는 방식을 사용하여 유한요소 해석시 흔히 발생하는 스카이라인 형태로 저장된 대칭통산행예(Sparse Symmetric Matrix)에 대한 매우 효과적인 코어 내 및 코어 외 직립방정식의 해법을 개발하였다. 제안된 방법은 다른 코어 외 해법에 비해 알고리즘 및 코딩이 매우 간단하여 계산효율을 상당히 향상시켰다. 해석예에서는 제안된 방법을 사용하여 대규모 구조해석 문제를 메모리 용량이 작은 소형컴퓨터에서 대단히 효율적으로 해결하였음을 보여주었다.

This study aims to analyze the causality of placeness cognition which includes the place satisfaction, place attachment, place function, and behavioral intention of those who visit Suseong amusement park. A questionnaire survey was administered to 255 individuals who visited in Suseong amusement park. To conduct the analysis, six hypotheses were formulated and tested. While two hypotheses were statistically rejected, four hypotheses were accepted. First, place satisfaction was found to have a positive effect on place function (β=.577, p<0.001). Second, place attachment had a positive effect on behavioral intention (β=.450, p<0.001). Third, place function had a positive effect on behavioral intention (β=.247, p<0.05). Fourth, place function was found to have a positive effect on place attachment (β=.637, p<0.001). Unlike most existing research which has indicated that place satisfaction has a direct effect on behavioral intention this study suggests a that double mediating effect through place function and place attachment between place satisfaction and behavioral intention. In addition to increasing satisfaction through the environment of the Suseong Amusement Park, it is also necessary to improve the function of the place to ensure repeated visits from visitors.

Purpose - This study provides appropriate procedures for EFA to help researchers conduct empirical studies by using PLS-SEM. Research design, data, and methodology - This study addresses the absolute and relative sample size criteria, sampling adequacy, factor extraction models, factor rotation methods, the criterion for the number of factors to retain, interpretation of results, and reporting information. Results - The factor analysis procedure for PLS-SEM consists of the following five stages. First, it is important to look at whether both the Bartlett test of sphericity and the KMO MSA meet the qualitative criteria. Second, PAF is a better choice of methodology. Third, an oblique technique is a suitable method for PLS-SEM. Fourth, a combined approach is strongly recommended to factor retention. PA should be used at the onset. Next, it is recommended using the K1 criterion. In addition, it is necessary to extract factors that increase the total variance explanatory power through the PVA-FS. Finally, it is appropriate to select an item with a factor loading into 0.5 or higher and a communality of 0.5. Conclusions - It is expected that the accurate factor analysis processed for PLS-SEM as previously presented will help us extract more precise factors of the structural model.