Modeling (SEM) has taken up a prominent role. Within the academic literature of many fields, Rigdon (1998) remarks, structural equation Keywords: structural equation model, partial least squares, R. Known mobile phone dataset from marketing research is used to demonstrate the features Various plot functions help to evaluate the model. Modular methods for computation of bootstrap confidence intervals, model parametersĪnd several quality indices. Different setups for the estimation of factor scores can be used. The capability to estimate PLS path models within the R programming environment. Modelling is referred to as soft-modeling-technique with minimum demands regarding measurement scales, sample sizes and residual distributions. Which is especially suited for situations when data is not normally distributed. The partial least squares (PLS) approach to SEM offers an alternative to covariance-based SEM, Structural equation models (SEM) are very popular in many disciplines. SemPLS: Structural Equation Modeling Using
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