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Exploring the integration of SEM and ANN for uncovering complex and non-linear relationships in social science research. The chapter begins with introducing the foundation of ANN. It then reviews the application of ANN across diverse academic domains. The chapter provides a practical guide for implementing ANN. Researchers are empowered to combine the causal inference capabilities of SEM with the high predictive accuracy of ANN to capture linear and nonlinear links. Ultimately, offering a more robust and insightful understanding of empirical data.

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Hybrid SEM and ANN Approach

  • 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

Exploring the integration of SEM and ANN for uncovering complex and non-linear relationships in social science research. The chapter begins with introducing the foundation of ANN. It then reviews the application of ANN across diverse academic domains. The chapter provides a practical guide for implementing ANN. Researchers are empowered to combine the causal inference capabilities of SEM with the high predictive accuracy of ANN to capture linear and nonlinear links. Ultimately, offering a more robust and insightful understanding of empirical data.