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Path model estimation is the core analytical procedure in Partial Least Squares Structural Equation Modeling (PLSSEM). This chapter introduces the principles, steps, and practical considerations involved in estimating both the measurement model and the structural model using the PLS algorithm. The discussion begins with an overview of the iterative process of PLS-SEM estimation, emphasizing how the algorithm maximizes explained variance in endogenous constructs while simultaneously assessing the relationships between latent variables and their indicators.

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PLS-SEM Path Model Estimation

  • 章节

  • 发表日期：

    2025年

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  • XinYing Chew,
  • Abbas Gatea Atiyah,
  • Alhamzah Alnoor,
  • Sammar Abbas,
  • Yousif Raad Muhsen,
  • Gül Erkol Bayram

摘要

Path model estimation is the core analytical procedure in Partial Least Squares Structural Equation Modeling (PLSSEM). This chapter introduces the principles, steps, and practical considerations involved in estimating both the measurement model and the structural model using the PLS algorithm. The discussion begins with an overview of the iterative process of PLS-SEM estimation, emphasizing how the algorithm maximizes explained variance in endogenous constructs while simultaneously assessing the relationships between latent variables and their indicators.