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Efforts to evaluate predictive performance in Partial Least Squares (PLS) path modeling are making major headway, but have largely focused on the prediction of measurement items. There is still a need to clarify what prediction of constructs might entail. We examine the challenges of measuring predictive power and validity at the construct level. We then propose a technique for overcoming these challenges and provide suitable predictive metrics.