Attribute relative importance computation in conjoint analysis

Abstract

In conjoint analysis, computation of relative importance for different attributes play vital role in deciding about elimination or inclusion of any attribute. In the literature, relative ranges of factor effects at different levels are considered as the measure for relative importance weights. We consider the well known reduced sum of squares procedure to decide about attribute importance weights. Such constructed weights have better interpretation in terms of portion of total variability explained by the attribute in the model.