A catalogue of designs for partial profiles in paired comparison experiments with three groups of factors |
| |
Authors: | Heiko Großmann Ulrike Graßhoff Rainer Schwabe |
| |
Affiliation: | 1. School of Mathematical Sciences, Queen Mary University of London, Mile End Road, London, E1 4NS, UKh.grossmann@qmul.ac.uk;3. Institut für Mathematische Stochastik, Otto-von-Guericke-Universit?t Magdeburg, PF 4120, D-39016 Magdeburg, Germany |
| |
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 |
|
|