• Title/Summary/Keyword: PLS 구조방정식

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A Tutorial on PLS Structural Equating Modeling using R: (Centering on) Exemplified Research Model and Data (R을 이용한 PLS 구조방정식모형 분석 튜토리얼: 예시 연구모형 및 데이터를 중심으로)

  • Yoon, Cheolho;Kim, Sanghoon
    • Information Systems Review
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    • v.16 no.3
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    • pp.89-112
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    • 2014
  • This tutorial presents an approach to perform the PLS structural equation modeling using the R. For this purpose, the practical guide defines the criteria for the PLS structural equation modeling by reviewing previous studies, and shows how to analyze the research model with an example using the "plspm" which is the R package for the performing PLS path analysis against the criteria. This practical guide will be useful for the study of the PLS model analysis for new researchers and will provide the knowledge base for in-depth analysis through the new PLS structural equation modeling technique using R which is the integrated statistical software operating environment for the researchers familiar with the PLS structural equation modeling.

A Comparison Analysis among Structural Equation Modeling (AMOS, LISREL and PLS) using the Same Data (동일 데이터를 이용한 구조방정식(AMOS, LISREL and PLS) 툴 간의 비교분석)

  • Nam, Soo-tai;Kim, Do-goan;Jin, Chan-yong
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2018.05a
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    • pp.131-134
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    • 2018
  • Structural equation modeling is pointing to statistical procedures that simultaneously perform path analysis and confirmatory factor analysis. Today, this statistical procedure is an essential tool for researchers in the social sciences. There are as (AMOS, LISREL and PLS) representative tools that can perform structural equation modeling analysis. AMOS provides a convenient graphical user interface for beginners to use. PLS has the advantage of not having a constraint on normal distribution as well as a graphical user interface. Therefore, we compared and analyzed the three most commonly used tools in social sciences. This study suggests practical and theoretical implications based on the results.

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A Factor Analysis for Bicycle Accidents Using the PLS Structural Equation (PLS 구조방정식을 이용한 자전거사고 요인분석)

  • Oh, Ju Taek
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.17 no.4
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    • pp.26-40
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    • 2018
  • The aim of this research is to analyze factors affecting bicycle accidents using the PLS structural equation. Accident types in this study were categorized into total accidents, serious injuries including death, and light injuries which occurred at nationwide Si Gun Gu. It was found that urbanization was the main factor for bicycle accidents through the accident models developed in this study. Population, ratio of economically active population, density of intersections, ratio of urbanized area, commercial and industrial land-uses, number of drive license holders, number of education institutions, number of parks were the main factors causing bicycle accidents. Besides, length of bicycle roads, number of bicycles, and ratio of bicycle as mode choice also increased bicycle accidents.

Analysis of Factors Affecting Company Growth using PLS Structural Equation (PLS 구조방정식을 이용한 기업성장 영향요인 분석)

  • Seong, Byungho;Kim, Taesung
    • Journal of the Korea Convergence Society
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    • v.10 no.9
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    • pp.209-219
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    • 2019
  • This study analyzed the impacts and factors of the government's local industry upbringing policy on business growth. We analyzed the effect of product innovation and technological innovation on business competence, external cooperation level, R&D investment, and corporate growth using PLS(Partial Least Squares) structural equation. The results show that management competence and external cooperation level have a significant effect on firm growth and that there is a moderating effect between beneficiaries and non-beneficiaries. Management competence affects product innovation. Product innovation was analyzed to have mediating effects on firm growth. Finally, the policy direction of increasing managerial capacity is presented, and the limitations and future research directions are suggested.

A Comparison Analysis among Structural Equation Modeling (AMOS, LISREL and PLS) Using the Same Data (동일 데이터를 이용한 구조방정식 툴 간의 비교분석)

  • Nam, Soo-tai;Kim, Do-goan;Jin, Chan-yong
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.22 no.7
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    • pp.978-984
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    • 2018
  • Structural equation modeling is pointing to statistical procedures that simultaneously perform path analysis and confirmatory factor analysis. Today, this statistical procedure is an essential tool for researchers in the social sciences. There are as AMOS, LISREL and PLS representative tools that can perform structural equation modeling analysis. AMOS provides a convenient graphical user interface for beginners to use. PLS has the advantage of not having a constraint on normal distribution as well as a graphical user interface. Therefore, we compared and analyzed the three most commonly used tools (applications) in social sciences. Based on structural equation modeling, confirmatory factor analysis was performed using the IBM AMOS Ver. 23, the LISREL 8.70 and the SmartPLS 2.0. The comparative results show that LISREL has the highest explanatory power of dependent variables than other analytical tools. The path coefficients and T-values presented by the analysis results showed similar results for all three analysis tools. This study suggests practical and theoretical implications based on the results.

University Student's Beliefs, Attitudes and Intention with Regard to Applying for Jobs in SME (중소기업 취업에 관한 대학생들의 신념, 태도 및 취업의도에 관한 연구)

  • Moon, Sun-Jung
    • Korean small business review
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    • v.39 no.3
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    • pp.57-76
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    • 2017
  • While the unemployment rate is rising rapidly due to recent economic recession at home and abroad, university students' reluctance to apply for jobs in Small and Medium Enterprises (SME's) causes instability in manpower supply and demand and social unrest. To provide insights for solving the problem, this study explores how beliefs and attitudes of university students influence their intention to apply for jobs in SME's using Theory of Planned Behavior proposed by Icek Ajzen. This study followed the 2-stage survey methodology suggested by Ajzen. In the first stage of pilot study, a small sample of university students was used to illicit readily accessible behavioral outcomes, normative referents, and control factors. In the second stage of main study, the standard questionnaire was designed and administered and data were collected and analysed using the PLS Structural Equation Modeling (SEM) technique. PLS-SEM was used instead of Covariance Based (CB)- SEM considering the exploratory nature of this study. In overall, the results showed that TPB is very effective in explaining and predicting the university student's intention to apply for jobs in SEM's. Gender turned out to be a significant moderator variable in the relations between intention and its influence factors. Student's scholastic performance showed a negative correlation with intention. More research efforts need to be exerted to better understand university student's job seeking behavior.

Utilization of R Program for the Partial Least Square Model: Comparison of SmartPLS and R (부분최소제곱모형을 위한 R 프로그램의 활용: SmartPLS와 R의 비교)

  • Kim, Yong-Tae;Lee, Sang-Jun
    • Journal of Digital Convergence
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    • v.13 no.12
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    • pp.117-124
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    • 2015
  • As the acceptance of statistical analysis has been increased because of Big Data, the needs for an advanced second generation of statistical analysis method like Structural Equation Model are also increasing. This study suggests how R-Program, as open software, can be utilized when Partial Least Square Model, one of the SEMs, is applied to statistical analysis. R is a free software as a part of GNU projects as well as a powerful and useful tool for statistical analysis including Big Data. The study utilized R and SmartPLS, a representative statistical package of PLS-SEM, and analyzed internal consistency reliability, convergent validity, and discriminant validity of the measurement model. The study also analyzed path coefficients and moderator effects of the structural model and compared the results, respectively. The results indicated that R showed the same results with SmartPLS on the measurement model and the structural model. Therefore, the study confirmed that R could be a powerful tool that is alternative to a commercial statistical package in the future.

창업연구 실증연구 분석방법론

  • Lee, Il-Han
    • 한국벤처창업학회:학술대회논문집
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    • 2017.04a
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    • pp.17-17
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    • 2017
  • 구조방정식모델(Structural Equation Modeling: SEM)은 변수들 간의 인관관계 및 상관관계를 검증하기 위한 통계기법으로 사회학 및 심리학 분야에서 개발되었지만 현재는 경영학, 광고학, 교육학, 생물학, 체육학, 의학, 정치학 등 여러 학문분야에서 광범위하게 사용되고 있다. Amos는 기본적으로 그래픽(Amos graphics)과 베이직(Amos basic)을 제공하기 때문에 정확한 프로그램의 작성이나 행렬에 대한 지식이 없는 초보자들도 아이콘을 이용하여 복잡한 연구모델이나 다중집단분석모델을 분석할 수 있다. PLS(Partial Least Square)는 모형 추정과정에서 발생하는 잔차 또는 예측오차를 최소화하여 예측력을 극대화하기 위한 프로그램이며, 즉, PLS-SEM는 표본 수가 적고 자료가 정규분포를 보이지 않거나 조형지표 모델이거나 복잡한 연구모델 분석에 유용하다. 최근 빅데이터의 열풍으로 자료들을 분석을 위한 도구로 R이 실무 현장에서 인기를 끌고 있다. R은 통계 프로그래밍 언어이자 오픈 소프트웨어 환경으로 통계, 그래픽, 데이터마이닝 등의 다양하고 방대한 양의 패키지들을 지원한다. R에서 제공되는 패키지들이 오픈 소스이고 선형 및 비선형 모델링, 고전적인 통계분석, 시 계열 분석, 분류 및 군집분석 등의 다양한 통계 패키지들을 제공한다는 측면에서 R은 실무는 물론 학문적인 측면에서도, 특히 통계를 기반으로 실증분석을 수행하는 사회과학연구들에서 중요한 역할을 할 수 있을 것으로 기대된다.

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A Study on the Double Mediation Analysis in Structural Equating Models with Bootstrapping Using R (구조방정식모형에서의 R을 이용한 부트스트랩 기반의 이중매개효과 분석 방안에 대한 연구)

  • Yoon, Cheolho;Choi, Kwangdon
    • Journal of Digital Convergence
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    • v.14 no.9
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    • pp.111-121
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    • 2016
  • This study provides an approach to perform the double mediation analysis in structural equation models using the R. For this purpose, the study reviews a variety of techniques for mediation analysis, selects the bootstrapping technique as the most suitable way for performing the double mediation analysis and develops an approach for the double mediation analysis in structural equating models with the bootstrapping using the plspm which is the R package for the performing PLS path analysis. This study will be useful for the studies including the double mediation analysis in structural equation modeling, which is not supported by most of SEM packages, also will provide the knowledge base for in-depth analysis through suggesting the new mediation analysis technique using R for the researchers.

Impact Assessment between Heatwave and Drought Based on PLS-SEM (부분최소제곱 구조방정식(PLS-SEM)을 이용한 폭염과 가뭄의 영향평가)

  • Yoo, Jiyoung;Kim, Jang-Gyeong;Han, Jeongwoo;Kim, Tae-Woong
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.41 no.2
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    • pp.113-121
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    • 2021
  • The occurrence mechanisms of heatwave have been conventionally studied at a synoptic scale. However, the implications of precedent droughts on the following up heatwave occurrences have not been elucidated and are important to address the complex causal mechanisms of heatwaves. Therefore, this study evaluated the causality and implication of the seasonally antecedent droughts to summer heatwaves that occurred for 46 years since 1974 using partial least squares-structural equation modeling (PLS-SEM). The resulting contribution of winter (spring and summer) droughts to summer heatwaves for Seoul-Gyeonggi, Gangwon, and Chungcheong provinces were 37 % (29 % and 22 %), 21 % (18 % and 29 %), and 17 % (8 % and 38 %), respectively. This is due to the regional variability of seasonal drought impacts. Furthermore, Gangwon and Chungcheong provinces, which have a higher level of impacts of summer droughts to summer heatwaves, are more likely to be exposed to the compound drought-heatwave damages compared to Seoul-Gyeonggi province, which has relatively a low-level impact of summer drought.