Noncentrality-Based Indices of Fit - McDonald's Index of Noncentrality

McDonald proposed this index of noncentrality in a 1989 article in the Journal of Classification. The index represents one approach to transforming the population noncentrality index F* into the range from 0 to 1. The index does not compensate for model parsimony, and the rationale for the exponential transformation it uses is primarily pragmatic.

The index may be expressed as

e^(-F*/2)

Good fit is indicated by values above .95.

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