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CB-SEM vs PLS-SEM methods for research in social sciences and technology forecasting

📅 August 9, 2021 👤 Ganesh Dash, Justin Paul 📖 Technological Forecasting and Social Change 📊 2,219 citations

🤖 Plain-English Summary

This study compares the two widely used methods of Structural Equation Modeling (SEM): Covariance based Structural Equation Modeling (CB-SEM) and Partial Least Squares based Structural Equation Modeling (PLS-SEM). The multi-national context makes the study relevant and replicable universally.

🔑 Key Findings

  • The first approach is based on covariance, and the second one is based on variance (partial least squares).
  • It further assesses the difference between PLS and Consistent PLS algorithms.
  • To assess the same, empirical data is used.

💡 Why This Matters

This work deepens our understanding of the fundamental laws governing the universe, from subatomic particles to cosmic structures.

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📋 Article Details

Category ⚛️ Physics & Space Science
Published Aug 09, 2021
Journal Technological Forecasting and Social Change
Authors Ganesh Dash, Justin Paul
DOI 10.1016/j.techfore.2021.121092
Citations 2,219
Source OpenAlex

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