A Practical Comparison of PLS-SEM and CB-SEM Advantages and Disadvantages
Directly to the table: Dimension PLS-SEM (Variance/Prediction-Oriented) CB-SEM (Covariance/Validation-Oriented) Core Objective Maximize R², explain and predict dependent variables Test overall model fit, validate theory Sample Size Robust with small samples (30–100 is sufficient) Requires larger samples, generally ≥ 200 Data Distribution Non-parametric, does not assume multivariate normality Parametric method, requires approximate multivariate normality Measurement Philosophy … Read more