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A catalogue of designs for partial profiles in paired comparison experiments with three groups of factors

by Großmann, H., Graßhoff, U., Schwabe, R..

Series: 2012-10, Preprints

62K05 Optimal designs

A common strategy for avoiding information overload in multi-factor paired comparison experiments is to employ pairs of options which have different levels for only some of the factors in a study. For the practically important case where the factors fall into three groups such that all factors within a group have the same number of levels and where one is only interested in estimating the main effects, a comprehensive catalogue of D-optimal approximate designs is
presented. These optimal designs use at most three different types of pairs and have a block diagonal information matrix.

optimal design; paired comparisons; choice experiments