Structural Equation Modelling using SEMinR

A detailed lecture series on how to conduct Partial Least Squares Structural Equation Modelling (PLS-SEM) using R Package SEMinR

SEMinR Tutorials

Learn PLS-SEM Structural Equation Modelling using SEMinR

SEMinR brings a friendly syntax to creating and estimating structural equation models (SEM). The syntax allows applied practitioners of SEM to use terminology that is very close to their familiar modeling terms (e.g., reflective, composite, interactions) instead of specifying underlying matrices and covariances. SEM models can be estimated either using Partial Least Squares Path Modeling (PLS-PM) as popularized by SmartPLS, or using Covariance Based Structural Equation Modeling (CBSEM) as popularized by LISREL and AMOS. Confirmatory Factor Analysis (CFA) of reflective measurements models is also supported. Both CBSEM and CFA estimation use the Lavaan package.

  • A natural feeling, domain-specific language to build and estimate structural equation models in R
  • Can use variance-based PLS estimation and covariance-based SEM estimation to model composite and common-factor constructs
  • High-level functions to quickly specify interactions, higher order constructs, and structural paths

SEMinR uses its own PLS-PM estimation engine and integrates with the Lavaan package for CBSEM/CFA estimation. It also brings a few methodological advancements not found in other packages or software, and encourages best practices wherever possible.

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PLS-SEM using SEMinR