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

Großmann H.;Graßhoff, U.;Schwabe, R.


Preprint series: 12-10 , Preprints



           62K05 Optimal designs

Abstract: 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.

Keywords: optimal design; paired comparisons; choice experiments

Upload: 2012-06-21-06-21

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