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

📅 Published: August 9, 2021 👤 Ganesh Dash, Justin Paul 📖 Technological Forecasting and Social Change 📊 2,219 citations
AI-Generated 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.

⚡ This is an original paraphrased summary — not copied from the abstract. Full paper available at the source link below.

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

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

This summary is based on publicly available metadata and abstract. For the full research paper, visit the original source:

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Article Details
Source OpenAlex
Category ⚛️ Physics & Space Science
Published Aug 9, 2021
Journal Technological Forecasting and Social Change
DOI 10.1016/j.techfore.2021.121092
Citations 2,219
Authors Ganesh Dash, Justin Paul