• 제목/요약/키워드: Structural Equation(SEM)

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A Correlational Study of Readers' Perception of Written Materials (Professional reading Materials) using Structural Equation Modeling

  • Shaharuddin, Siti Shukhaila;Lee, Sung-Pil
    • 감성과학
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    • 제16권4호
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    • pp.567-578
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    • 2013
  • 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.

HOUSING PRICE MODEL USING GIS IN SEOUL (APPLICATIONS OF STRUCTURAL EQUATION MODELING)

  • Kyong-Hoon Kim;Jae-Jun Kim;Bong-Sik Kim
    • 국제학술발표논문집
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    • The 2th International Conference on Construction Engineering and Project Management
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    • pp.366-375
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    • 2007
  • Our nation has a problem with discrimination of income distribution and inefficient of resources distribution caused by real estate price rising from a sudden economy growth and industrialization. Specially, in recent years, there is a great disparity of condominium price between the north and south of the Han river. Because the housing price is deciede by the immanent value of a house and neighborhood effects of the regional where the house is situated, the housing price is occurred difference. In this study, I analyzed the differences of housing price determinants about condominium developments in the old and new residential areas, and found the important factors that affect the condominium price using Structural Equation Modeling(SEM) The purpose of study is to analyze the influence of various factors of housing price. Also, this study tried to predict real estate market and to establish previous effective real estate policy.

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Dynamic interaction analysis of vehicle-bridge system using transfer matrix method

  • Xiang, Tianyu;Zhao, Renda
    • Structural Engineering and Mechanics
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    • 제20권1호
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    • pp.111-121
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    • 2005
  • The dynamic interaction of vehicle-bridge is studied by using transfer matrix method in this paper. The vehicle model is simplified as a spring-damping-mass system. By adopting the idea of Newmark-${\beta}$ method, the partial differential equation of structure vibration is transformed into a differential equation irrelevant to time. Then, this differential equation is solved by transfer matrix method. The prospective application of this method in real engineering is finally demonstrated by several examples.

A Study on Factor Analytical Methods and Procedures for PLS-SEM (Partial Least Squares Structural Equation Modeling)

  • YIM, Myung-Seong
    • 산경연구논집
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    • 제10권5호
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    • pp.7-20
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    • 2019
  • 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.

구조방정식을 이용한 고령운전자 교통사고 인적 피해 심각도 분석 (고양시를 중심으로) (An Analysis of Traffic Accident Injury Severity for Elderly Driver on Goyang-Si using Structural Equation Model)

  • 김솔람;윤덕근
    • 한국도로학회논문집
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    • 제17권3호
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    • pp.117-124
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    • 2015
  • 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 ${\chi}^2/df$, 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.

구조방정식을 이용한 소재의 구성특성, 질감 및 감성과 선호도간의 관계모형 (제1보) - 추동 여성 자켓용 소재의 무게 중심으로 - (Structural Equation Model(SEM) for Constituent Characteristics, Texture, Sensibility and Preference of Fabric (Part 1) - Weight of F/W Women's Jacket Fabrics -)

  • 노의경;유효선
    • 한국의류학회지
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    • 제31권8호
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    • pp.1240-1251
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    • 2007
  • The purpose of this study was to examine the relationship between weight of fabrics and texture and sensibility and preference of consumers for F/W women's jacket fabrics. Structural Equation Model(SEM) using AMOS program was conducted to analyze the relationships. Then, this study aimed to provide useful information in planning designing fabrics through predicting the subjective characteristics analyzed. The main survey was developed the 7-point semantic differential scale of subjective texture, sensibility and preference. Fifty trained female panelists of 20-30 years old were participated and questionnaire method was used with 20 kind of fabric. The evaluation methods such as by the sense of sight & touch were used when fabrics were estimated subjectively. When evaluated by the sense of sight & touch, fabric's weight did not have effect directly on preference, but had effect indirectly on preference through the texture and the sensibility..

SEM-Artificial Neural Network 2단계 접근법에 의한 클라우드 스토리지 서비스 이용의도 영향요인에 관한 연구 (A SEM-ANN Two-step Approach for Predicting Determinants of Cloud Service Use Intention)

  • ;권순동
    • Journal of Information Technology Applications and Management
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    • 제30권6호
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    • pp.91-111
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    • 2023
  • This study aims to identify the influencing factors of intention to use cloud services using the SEM-ANN two-step approach. In previous studies of SEM-ANN, SEM presented R2 and ANN presented MSE(mean squared error), so analysis performance could not be compared. In this study, R2 and MSE were calculated and presented by SEM and ANN, respectively. Then, analysis performance was compared and feature importances were compared by sensitivity analysis. As a result, the ANN default model improved R2 by 2.87 compared to the PLS model, showing a small Cohen's effect size. The ANN optimization model improved R2 by 7.86 compared to the PLS model, showing a medium Cohen effect size. In normalized feature importances, the order of importances was the same for PLS and ANN. The contribution of this study, which links structural equation modeling to artificial intelligence, is that it verified the effect of improving the explanatory power of the research model while maintaining the order of importance of independent variables.

구조방정식을 이용한 고객만족지수 개발과 고객의사결정에의 활용 방안에 관한 연구 - 국내 자동차 산업을 중심으로 - (A study of developing Customer Satisfaction Index(CSI) used for Structural Equation Model(SEM) and applications of customers' decision - focused on the domestic automobile industry -)

  • 정지영;조재립
    • 품질경영학회지
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    • 제31권3호
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    • pp.85-97
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    • 2003
  • There are various methods to assess to company's outcome. Among them, the customers satisfaction, which is assessed by customers, is the most important. If the customers satisfaction is measured by the CSI based on the proper reliability and validity, you can apply the result for various marketing methods. Therefore, this study develops a model to assess CSI for an industry, specifically, local automotive industry based on the SEM that is already proven valid through assessing models such as ACSI, KCSI and NCSI. Moreover, this research can be utilized for marketing strategy helping customers to decide as an AHP model, one of the decision making method.

Relationship between the maxillofacial skeletal pattern and the morphology of the mandibular symphysis: Structural equation modeling

  • Ahn, Mi So;Shin, Sang Min;Yamaguchi, Tetsutaro;Maki, Koutaro;Wu, Te-Ju;Ko, Ching-Chang;Kim, Yong-Il
    • 대한치과교정학회지
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    • 제49권3호
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    • pp.170-180
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    • 2019
  • Objective: The purpose of this study was to investigate the relationship between the facial skeletal patterns and the shape of the mandibular symphysis in adults with malocclusion by using a structural equation model (SEM). Methods: Ninety adults who had malocclusion and had records of facial skeletal measurements performed using cone-beam computed tomography were selected for this study. The skeletal measurements were classified into three groups (vertical, anteroposterior, and transverse). Cross-sectional images of the mandibular symphysis were analyzed using generalized Procrustes and principal component (PC) analyses. A SEM was constructed after the factors were extracted via factor analysis. Results: Two factors were extracted from the transverse, vertical, and anteroposterior skeletal measurements. Latent variables were extracted for each factor. PC1, PC2, and PC3 were selected to analyze the variations of the mandibular symphyseal shape. The SEM was constructed using the skeletal variables, PCs, and latent variables. The SEM showed that the vertical latent variable exerted the most influence on the mandibular symphyseal shape. Conclusions: The relationship between the skeletal pattern and the mandibular symphysis was analyzed using a SEM, which showed that the vertical facial skeletal pattern had the highest effect on the shape of the mandibular symphysis.

구조방정식을 활용한 제주 도심지역 트램 도입 수용성 분석 (Acceptability Analysis of Tram Adoption in Jeju Urban Areas Using a Structural Equation Modeling)

  • 임영호;정연식;장민철;김종진
    • 대한토목학회논문집
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    • 제44권4호
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    • pp.513-518
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    • 2024
  • 새로운 기술 혹은 정책의 도입에는 반대의견과 찬성의견이 양립하는 것이 일반적이다. 특히, 반대의견에 영향을 미치는 요인의 파악은 새로운 기술 혹은 정책을 성공적으로 도입하기 위한 첫 단계가 될 수 있다. 본 연구의 목적은 제주 도심지역에 신교통수단인 트램 도입 수용성에 영향을 미치는 주요 요인을 파악하여, 성공적인 트램도입에 대한 기반을 마련하는 것이다. 이를 위해 약 8일간 제주도민 326명과 관광객 104명을 대상으로 설문조사를 실시하였으며, 조사된 자료는 구조방정식(Structural Equation Modeling, SEM) 기반 수용성 영향 요인을 분석하였다. 분석 결과, 트램 운영 특성에 대한 인지도가 높을수록 수용성에 긍정적인 것으로 나타났다. 특히, 제주 시내에서 트램 운영은 대중교통 이용 편의성이나 도시 환경 측면에서는 긍정적으로 평가하는 반면, 교통상충으로 인한 교통사고, 혼잡, 보행자 안전 측면에서는 부정적으로 평가하는 것으로 나타났다. 이러한 결과는 향후 제주시에서 성공적인 트램 도입을 위한 기초자료로 활용될 것으로 기대된다.