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Common Method Bias in PLS-SEM

International Journal of e-Collaboration, 2015
The author discusses common method bias in the context of structural equation modeling employing the partial least squares method (PLS-SEM). Two datasets were created through a Monte Carlo simulation to illustrate the discussion: one contaminated by common method bias, and the other not contaminated.
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Örgütsel Davranış Araştırmalarında PLS-SEM Kullanımı

2023
Birçok disiplinde olduğu gibi örgütsel davranış araştırmalarında da PLS-SEM kullanımı giderek artmaktadır. Gizil değişkenler arasındaki karmaşık ilişkilerin PLS-SEM ile kolayca modellenebilmesi, analizlerde kullanılan veri gereksinimlerinin düşük olması ve gelişmiş yazılımların mevcudiyeti bu artışın nedenleri arasındadır.
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PLS-SEM modelling in Information Systems

2022 Conference on Information Communications Technology and Society (ICTAS), 2022
Anass Bayaga, Michael Kyobe
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Next-generation prediction metrics for composite-based PLS-SEM

Industrial Management & Data Systems, 2020
PurposeThe purpose of this study is to provide an overview of emerging prediction assessment tools for composite-based PLS-SEM, particularly proposed out-of-sample prediction methodologies.Design/methodology/approachA review of recently developed out-of-sample prediction assessment tools for composite-based PLS-SEM that will expand the skills of ...
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Missing data imputation in PLS-SEM

Quality & Quantity, 2022
Huiwen Wang, Shan Lu, Yide Liu
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A Note on How to Conduct a Factor-Based PLS-SEM Analysis

International Journal of e-Collaboration, 2015
The composite-factor estimation dichotomy has been the epicenter of a long and ongoing debate among proponents and detractors of the use of the partial least squares (PLS) approach for structural equation modeling (SEM). In this brief research note the author discusses the implementation of a new method to conduct factor-based PLS-SEM analyses, which ...
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CB-SEM vs PLS-SEM methods for research in social sciences and technology forecasting

Technological Forecasting and Social Change, 2021
Ganesh Dash, Justin Paul
exaly  

How to Deal with the Results of PLS-SEM?

2022
Omar Jaber Aburumman   +3 more
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Workplace spirituality and knowledge hiding behaviour: a PLS-SEM analysis

International Journal of Business Information Systems, 2021
Ayman Mousa Mahmoud Alnaimi   +2 more
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