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1 year ago in Conceptualization By Eastonenawn

What is the blindfolding procedure used for, and how do you interpret the resulting Q² value for predictive relevance?

What is the purpose of the blindfolding procedure, and how should the resulting Q² value be interpreted in terms of predictive relevance?

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By Patel Answered 1 year ago

The blindfolding procedure is a sample reuse technique that omits part of the data matrix to assess a model's out-of-sample predictive power for specific endogenous constructs. The resulting Q² value (Stone-Geisser's criterion) must be above zero to confirm predictive relevance. Typically, Q² > 0.02, > 0.15, and > 0.35 indicate small, medium, and large predictive relevance, respectively.  

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