Abstract
A correlation structure modeling method for comparison of mediated effects is outlined. The procedure permits point and interval estimation of differences in mediator effects, and is useful with models postulating 1 or more predictor, intervening, or response variables that may also be latent constructs. The approach allows scale-free evaluation of differences in effects of any explanatory upon criterion variables transmitted via studied mediators, and is applied on data from a study of older adults with recent vision loss.
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