The present note suggests an alternative procedure for converting the multidimensional rank-order data for multidimensional scaling. In the past, the multidimensional rank-order data were converted into pair-comparison data or tetrad-comparison data. The proposed alternative converts the multidimensional rank-order data into triad-comparison data, from which the proximities are obtained for multidimensional scaling.
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