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Area of Science:

  • Statistics
  • Quantitative Research Methods

Background:

  • Structural Equation Modeling (SEM) is a powerful statistical technique.
  • It is widely used for model assessment in various scientific disciplines.

Purpose of the Study:

  • To present the fundamental principles of Structural Equation Modeling (SEM).
  • To provide an introductory overview of SEM for researchers.

Main Methods:

  • The contribution outlines the core concepts and theoretical underpinnings of SEM.
  • It focuses on the application of SEM in model evaluation.

Main Results:

  • The principles of SEM are clearly explained.
  • The utility of SEM in assessing theory-based models is demonstrated.

Conclusions:

  • SEM offers a robust framework for evaluating proposed models.
  • This introductory guide facilitates understanding and application of SEM.