R을 이용한 PLS 구조방정식모형 분석 튜토리얼 : 예시 연구모형 및 데이터를 중심으로

논문상세정보
' R을 이용한 PLS 구조방정식모형 분석 튜토리얼 : 예시 연구모형 및 데이터를 중심으로' 의 주제별 논문영향력
논문영향력 선정 방법
논문영향력 요약
주제
  • partialleastsquares(pls)
  • pathmodeling
  • plspm
  • r programming
  • r튜토리얼
  • smartpls
  • structuralequatingmodeling(sem)
  • technology acceptance model (tam)
  • 경로모델링
  • 구조 방정식 모형
  • 기술수형모형
동일주제 총논문수 논문피인용 총횟수 주제별 논문영향력의 평균
659 4

0.0%

' R을 이용한 PLS 구조방정식모형 분석 튜토리얼 : 예시 연구모형 및 데이터를 중심으로' 의 참고문헌

  • ‘Psychometric Theory
    Nunnally, J. C. McGraw-Hill, New York [1978]
  • semPLS : structural equation modeling using partial least squares
    Monecke, A Journal of Statistical Software 48 (3) : 1 ~ 32 [2012]
  • XLSTAT-Statistics Package for Excel
  • VisualPLS-Partial Least Square(PLS) Regression-An Enhanced GUI for Lvpls (PLS 1.8 PC)Version 1.04
    Fu, J.-R. National Kaohsiung University of Applied Sciences, Taiwan, ROC [2006]
  • Using the R Statistical Computing Environment to Teach Social Statistics Courses
  • Using partial least squares in operations management research: A practical guideline and summary of past research
    Penga, D. X. Journal of Operations Management 30 : 467 ~ 480 [2012]
  • The use of partial least squares structural equation modeling in strategic management research: A review of past practices and recommendations for future applications
    Hair, J. F., Jr. Long Range Planning 45 (5) : 320 ~ 340 [2012]
  • The use of partial least squares path modeling in international marketing
    Henseler, J. Advances in International Marketing 20 (1) : 277 ~ 320 [2009]
  • The problem of measurement model misspecification in behavioral and organizational research and some recommended solutions
    MacKenzie, S. B. Journal of Applied Psychology 90 (4) : 710 ~ 730 [2005]
  • Systems Under Indirect Observations: Causality, Structure, Prediction, Part 2
    Wold, H North-Holland, Aterdam, The Netherlands : 1 ~ 54 [1982]
  • Structural Equation Modeling in Information Systems Research Using Partial Least Squares
    Urbach, N Journal of Information Technology Theory and Application 11 (2) : 5 ~ 40 [2010]
  • Specifying formative constructs in information systems research
    Petter, S. MIS Quarterly 31 (4) : 623 ~ 656 [2007]
  • SmartPLSVersion 2.0
    Ringle, C. M Universit¨at Hamburg, Hamburg [2005]
  • R(programming language)
  • R 이용 오픈데이터 시각화 웹 응용
    김광섭 한국지리정보학회지 17 (2) : 72 ~ 81 [2014]
  • Potential Model Misspecification Bias: Formative Indicators Enhancing Theory for Accounting Researchers
    Rodgers, W The International Journal of Accounting 46 (1) : 25 ~ 50 [2011]
  • Perceived usefulness. Perceived Ease of Use and User Acceptance of Information Technology
    Davis, F. D. MIS Quarterly 13 (3) : 319 ~ 340 [1989]
  • Partial Least Squares Structural Equation Modeling (PLS-SEM) Techniques Using SmartPLS
    Wong, K. K. Technical Note 1 24 : 1 ~ 32 [2013]
  • PLS-PC: Latent Variables Path Analysis with Partial Least Squares-Version 1.8for PCs under MS-Dos
  • PLS-GUI-Graphic User Interface for Partial Least Squares (PLS-PC 1.8)-Version 2.0.1 beta
    Li, Y. University of South Carolina, Columbia, SC [2005]
  • PLS path modeling
    Tenenhaus, M. Computational Statistics and Data Analysis 48 : 159 ~ 205 [2005]
  • PLS Path Modeling with R Trowchez Editions
  • PLS Graph-Version 3.0. Soft Modeling Inc
  • On the evaluation of structural equation models
    Bagozzi, R. P. Journal of the Academy of Marketing Science 16 (1) : 74 ~ 94 [1995]
  • On the Use of Partial Least Squares Path Modeling in Accounting Research
    Lee, L. International Journal of Accounting Information Syste 12 (4) : 305 ~ 328 [2011]
  • Modern Methods for Business Research
    Chin, W. W. Lawrence Brlbaum Associates : 295 ~ 336 [1998]
  • Issues and Opinion on Structural Equation Modeling
    Chin, W. W. MIS Quarterly 22 (1) : 7 ~ 16 [1998]
  • Goodness-of-fit indices for partial least squares path modeling
    Henseler, J. Computational Statistics 28 (2) : 565 ~ 580 [2013]
  • Formative vs. reflective indicators in organizational measure development: A comparison and empirical illustration
    Diamantopoulos, A. British Journal of Management 17 (4) : 263 ~ 282 [2006]
  • Evaluating structural equation models with unobservable variables and measurement error
    Fornell, C. Journal of Marketing Research 18 (1) : 39 ~ 50 [1981]
  • Editor’s comments: a critical look at the use of PLS-SEM in MIS quarterly
    Ringle, C. M MIS Quarterly 36 (1) : 3 ~ 14 [2012]
  • Convenience and TAM in a ubiquitous computing environment: The case of wireless LAN
    Yoon, C. Electronic Commerce Research and Applications 6 (1) : 102 ~ 112 [2007]
  • An assessment of the use of partial least squares structural equation modeling in marketing research
    Hair, J. F., Jr. Journal of the Academy of Marketing Science 40 (3) : 414 ~ 433 [2012]
  • A critical review of construct indicators and measurement model misspecification in marketing and consumer research
    Jarvis, C. B. Journal of Consumer Research 30 (2) : 199 ~ 218 [2003]
  • A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM)
    Hair, J. F. Sage [2013]
  • A Practical Guide to Factorial Validity Using PLS Graph : Tutorial and Annotated Example
    Gefen, D. Communications of the AIS 16 (1) : 91 ~ 109 [2005]