IBM® SPSS® Amos™ 28

By selecting Akaike weights and Bayes factors (sum = 1) on the Current results tab of the Options dialog box, one obtains the rescaling

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Each of these rescaled measures sums to 1 across models. The rescaling is performed only after an exhaustive specification search. If a heuristic search is carried out, or if a positive value is specified for Retain only the best ___ models, then the summation in the denominator cannot be calculated and rescaling is not performed. The are called Akaike weights by Burnham and Anderson (2002). has the same interpretation as . Within the Bayesian framework and under suitable assumptions with equal prior probabilities for the models, the are approximate posterior probabilities (Raftery, 1993, 1995).