• Title, Summary, Keyword: structural equation model analysis

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A Mean of Structural equation modeling on AMOS Software (AMOS 소프트웨어에서 구현되는 구조방정식 모형과 의미)

  • Kim, Kyung-Tae
    • Proceedings of the Korean Association for Survey Research Conference
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    • pp.55-65
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    • 2007
  • In this research, it will be examined on mathematical model of AMOS software program that ues for Covariance Structure Analysis. if we have not understood to mathematical model of Covariance Structure, we fail to understand Structural equation modeling. Similarly If We were not understand to mathematical model of AMOS Software, we do not use Software adequately. Therefore we examine two sorts of Software that be designed for Structural equation modeling or Covariance Structure Analysis. In this research, We will focus on 8 assumption of Structural equation modeling and compare AMOS(Analysis of MOment Structure) program with LISREL(Linear Structure RELation) program. We found that A Program of AMOS Software have materialized with RAM(Reticular Action Model).

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Structural Equation Modeling Using R: Mediation/Moderation Effect Analysis and Multiple-Group Analysis (R을 이용한 구조방정식모델링: 매개효과분석/조절효과분석 및 다중집단분석)

  • Kwahk, Kee-Young
    • Knowledge Management Research
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    • v.20 no.2
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    • pp.1-24
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    • 2019
  • This tutorial introduces procedures and methods for performing structural equation modeling using R. To do this, we present advanced analysis methods based on structural equation model such as mediation effect analysis, moderation effect analysis, moderated mediation effect analysis, and multiple-group analysis with R program code using R lavaan package that supports structural equation modeling. R is flexible and scalable, unlike traditional commercial statistical packages. Therefore, new analytical techniques are likely to be implemented ahead of any other statistical package. From this point of view, R will be a very appropriate choice for applying new analytical techniques or advanced techniques that researchers need. Considering that various studies in the social sciences are applying structural equations modeling techniques and increasing interest in open source R, this tutorial is expected to be useful for researchers who are looking for alternatives to existing commercial statistical packages.

The Structural Equation Modeling in MIS : The Perspectives of Lisrel and PLS Applications (경영정보학 분야의 구조방정식모형 적용분석 : Lisrel과 PLS 방법을 중심으로)

  • Kim, In-Jai;Min, Geum-Young;Shim, Hyoung-Seop
    • Journal of Information Technology Services
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    • v.10 no.2
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    • pp.203-221
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    • 2011
  • The purpose of this study is to investigate the applications of Structural Equation Modeling(SEM) into MIS area in recent years. Two methodologies, Lisrel and PLS, are adopted for the method comparison. A research model, based upon TAM(Technology Acceptance Model) is used for the analysis of the data set of a previous study. The research model includes six research variables that are composed of twenty-eight question items. 272 data are used for data analyses through Lisrel v.8.72 and Visual PLS v.1.04. This study shows the statistical results of Lisrel are the same to those of PLS. The contribution of this study can be suggested as the followings; (1) A theoretical comparison of two methodologies is shown, (2) A statistical analysis is done at a real-situated data set, and (3) Several implications are suggested.

Brand Relaionship Quality(BRQ) Perceived by Fashion Product Consumers and Its Performance Variables for Fashion Product Types (패션 상품군별 소비자가 인식하는 상표관계본질(BRQ)과 성과요인 간의 인과모형 차이)

  • Chae, Jin-Mie;Rhee, Eun-Young
    • Korean Journal of Human Ecology
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    • v.16 no.1
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    • pp.159-171
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    • 2007
  • The purpose of this research is to analyze the difference of Structural Equation Model which shows the path between BRQ and its performance variables according to purchase product types-fashion brand types, clothing item groups. The subjects were women in their 20s to 40s living in Seoul and Metropolitan areas, and 482 copies of questionnaire were analyzed. Multi-Group Analysis of AMOS 5.0 Package was used to investigate structural equation model according to fashion brand types and clothing item groups. The results of this study were as follows. As for fashion brand types, there appeared to be significant differences between high price brand type and medium-low price brand type for three paths, namely brand satisfaction to brand loyalty, BRQ to brand attitude, and brand attitude to brand loyalty. However the verification of structural equation model according to clothing item groups showed no significant differences between formal wear and informal wear. Consequently, BRQ was proved to affect brand satisfaction and brand loyalty, and brand satisfaction was the important intermediate variable between BRQ and brand loyalty. As consumers were likely to show the difference of structural equation model according to the price of purchase goods, differencial marketing strategy would be suggested.

Development and Validation of TPACK Measurement Tool for Mathematics Teachers (수학교사의 테크놀로지 교수 내용 지식(TPACK) 측정 도구 개발 및 타당화)

  • Lee, Da-Hee;Whang, Woo-Hyun
    • The Mathematical Education
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    • v.56 no.4
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    • pp.407-434
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    • 2017
  • The purpose of this study is to develop and verify the TPACK measurement tool for middle and high school mathematics teachers in the Korean context. Also, by clarifying the relationship between subordinate factors of Mathematics teachers' TPACK, an attempt was made to provide suggestions on the designs and directions for the in-service and pre-service teacher education and the programs for improving mathematics teachers' TPACK in the future. In order to achieve this goal, TPACK factors of mathematics teachers were extracted by reviewing literature on PCK, MKT, and TPACK. Then, content validity, basic statistical survey, reliability verification, exploratory factor analysis, confirmatory factor analysis, and structural equation model verification were conducted sequentially. At first, preliminary analysis was carried out on 79 mathematics teachers, and 76 items excluding the items with extreme value and reliability were included in the basic statistical analysis. And secondly, an exploratory factor analysis was conducted on 376 mathematics teachers, and this instrument consisted of 7 subordinate factors(CK, PK, TK, PCK, TCK, TPK, TPACK) and 61 items. Also by conducting confirmatory factor analysis and structural equation model test with 254 mathematics teachers, the measurement tool was confirmed the validity and reliability through statistically significant analysis. Then, the importance of integrated knowledge was confirmed by looking at the relationship between the TPACK factors of in-service mathematics teachers. The integrated knowledge(PCK, TCK, TPK) has played a crucial role in the formation of TPACK rather than the knowledge of CK, PK, and TK alone. Finally, the validity of TCK was confirmed through the structural equation modeling of TPACK. TCK not only directly affected TPACK, but also indirectly through TPK. According to these affirmative results, this measurement tool is claimed to be suitable for measuring the factors of Mathematics teachers' TPACK, and also the structural equation model can be regarded as a suitable model for analyzing the structural relationship of mathematics teachers' TPACK.

Causal Relationship Analysis of Winning Factors in Football Game : Structural Equation Model (구조방정식 모형(SEM)을 이용한 축구 요인간 인과관계 분석)

  • Kim, Ju-Hyung;Chang, Kyu-Chang;Kim, Sang-Hye;Park, Jung-Min;Ha, Chunghun
    • Journal of the Society of Korea Industrial and Systems Engineering
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    • v.38 no.2
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    • pp.101-107
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    • 2015
  • 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.

Strategy of Market Penetration in Japanese Internet Market: Comparing Online Game Loyalty between Korea and Japan with MSEM (한국 기업의 일본 인터넷 시장 진출 전략: 멀티그룹 구조분석(MSEM)을 이용한 한국과 일본의 온라인 게임 충성도 비교를 중심으로)

  • 김남희;이상철;서영호
    • Journal of the Korean Society for Quality Management
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    • v.31 no.1
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    • pp.21-41
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    • 2003
  • The purpose of this research is to identify if psychological temptation, site quality and sense of community influence user's flow and addiction and if causalities among flow, addiction, customer satisfaction and customer loyalty are different between Korean and Japanese online games. To perform our research, we use MCSF(Multi-group Confirmatory Factor Analysis) and MSEM(Multi-group Structural Equation Model). The empirical results of SEM(Structural Equation Model) including high-order factor analysis indicate that all of paths in our model are the same for both countries. Therefore, site quality and sense of community have impacts on the flow, while on the other hand, psychological temptation has impacts on the addiction. Customer satisfaction and loyalty are positively related not with the addiction but with the flow. In addition, customer loyalty is significantly influenced by the flow and the customer satisfaction. In Conclusion, the empirical results of MSEM(Multi-group Structural Equation Model) indicate sense of community to flow, flow to loyalty and customer satisfaction to loyalty are different between Korea and Japan. This indicates that companies to penetrate into Japa online game industry should have a concern with Japanese Social and Cultural features and to develop strategies which correspond with Japanese culture.

A Comparative Study of Factors Influencing Software Piracy : Focused on Different Software User Groups (소프트웨어 사용자 집단에 따른 불법복제 의도에 미치는 요인 비교 연구)

  • Kim, Joong Han
    • Journal of Information Technology Services
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    • v.14 no.2
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    • pp.15-31
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    • 2015
  • Software piracy is widespread throughout the world. It has negative effects on the software industry and the intellectual property market. Despite various deterrent policies, the phenomenon has been getting severe. The current study investigated the antecedents of software piracy attitudes and intention. In order to identify factors and their relationship, a research model for illegal piracy behavior was developed and empirically examined through a path analysis using structural equation model. Also, this study employed a multiple group structural equation model to investigate differences in structural weights across PC software user group and smartphone application user group. It was revealed that perceived benefit, habit, social factor, self-efficacy had positive effect on attitude toward software piracy, whereas perceived risk had a decreasing influence on attitude. Relationships between piracy attitudes and intentions were significant as well. Furthermore, the cross validation between two groups showed the path coefficients of habit to attitude and attitude to intention were significantly different. Implications for research and practice are discussed.

Structural relations of late night snacking choice attributes and health promotion behaviors according to dietary style of industrial workers

  • Park, Young Il;Joo, Nami
    • Nutrition Research and Practice
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    • v.8 no.4
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    • pp.432-438
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    • 2014
  • BACKGROUND/OBJECTIVES: This research was conducted to develop a construct model regarding the dietary style, late night snacking choice attributes and health promotion behaviors of industrial workers. SUBJECTS/METHODS: The surveys were collected during the period between January and February 2013. A statistical analysis of 888 industrial workers was conducted using SPSS 12.0 for Windows and SEM (Structural Equation Model) using AMOS (Analysis of Moment Structure) 5.0 statistics package. RESULTS: The results of the correlations between all variables showed significant positive correlations (P < 0.05). Results of factors analysis on dietary styles were categorized into five factors and health promotion behaviors were categorized into four. The reliability of these findings was supported by a Cronbach's alpha coefficient of 0.6 and higher for all other factors. After obtaining the factors from processing an exploratory factor analysis and the end results supported the validity. In an attempt to study the late night snacking choice attributes in accordance to dietary styles and the health promotion behaviors of industrial workers, a structural equation model was constructed and analyzed. CONCLUSIONS: All tests proved the model satisfied the recommended levels of the goodness on fit index, and thus, the overall research model was proved to be appropriate.

Structural Equation Modeling Using R: Analysis Procedure and Method (R을 이용한 구조방정식모델링: 분석절차 및 방법)

  • Kwahk, Kee-Young
    • Knowledge Management Research
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    • v.20 no.1
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    • pp.1-26
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    • 2019
  • This tutorial introduces procedures and methods for performing structural equation modeling using R. For this, we present the whole process of analyzing the structural equations model from the confirmatory factor analysis to the path diagram generation using the lavaan package, which is relatively well evaluated among the R packages supporting the structural equation modeling, together with the R program codes. Considering that research applying structural equation modeling techniques is the mainstream in a variety of social sciences, including business administration, and that there is growing interest in open source R, this tutorial focuses on researchers who are looking for alternatives to traditional commercial statistical packages and is expected that it will be a useful guidebook for them.