Description Partial Least Squares is a new approach in Structural Equation Modeling that can pay dividends when theory is scarce, correct model specifications are uncertain, and predictive accuracy is paramount.
When applied correctly, PLS can be a great alternative to existing covariance-based S.
Marketers can use PLS to build models that measure latent variables such as socioeconomic status, perceived quality, satisfaction, brand attitude, buying intention, and customer loyalty.
Description Partial Least Squares is a new approach in Structural Equation Modeling that can pay dividends when theory is scarce, correct model specifications are uncertain, and predictive accuracy is paramount