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Structural Equation Modelling (SEM)

Statistics & analysis

Definition

A framework that simultaneously tests measurement (items to constructs) and structural (construct to construct) relationships.

SEM combines factor analysis and regression into one system: the measurement model checks that questionnaire items represent their latent constructs, and the structural model tests the hypothesised paths between constructs.

Two families exist — covariance-based SEM (AMOS/LISREL, for theory confirmation) and variance-based PLS-SEM (SmartPLS, for prediction and complex models). Choosing between them is a design decision, not a software preference.

Where it's used

  • Testing full conceptual frameworks with latent variables
  • Mediation and moderation networks
  • Scale validation plus hypothesis testing in one analysis

Software used

AMOSSmartPLSR (lavaan)

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