We propose a simple strategy to construct D-, A-, G- and V-optimal two-level designs for rating-based conjoint studies with large numbers of attributes. In order to simplify the rating task, the designs hold one or more attributes at a constant level in each profile set. Our approach combines orthogonal designs and binary incomplete block designs with equal replication. The designs are variance-balanced meaning that they yield an equal amount of information on each of the part-worths.
- Two-level conjoint design
- D-, A-, G- and V-optimality
- Comparison depth
- Orthogonal designs
- Binary incomplete block designs
- Balanced and partially balanced incomplete block designs
Kessels, R., Goos, P., & Vandebroek, M. (2010). Optimal two-level conjoint designs with constant attributes in the profile sets. Journal of Statistical Planning and Inference, 140(11), 3035-3046. https://doi.org/10.1016/j.jspi.2010.04.007