The findings of a comparative analysis of linear and nonlinear evaluation process models using 3 (number of models) × 3 (levels of number of attributes) × 2 (levels of “acceptability” of alternatives) factorial design are reported. The results suggest nonlinear models may provide important vehicles for understanding consumer preference formation.
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