Triads or tetrads? Comparison of two methods for measuring the similarity in preferences under incomplete block design

• Authors: Artur Zaborski

Abstracts

EN

The measurement of preferences can be based on historical observations of consumer behaviour or on data describing consumer intentions. In the latter case, the measure-ment of preferences is performed using methods which express consumer attitudes at the time of research. However, most of these methods are very laborious, especially when a large number of objects is tested. In such cases incomplete analyses may prove useful. An incomplete analysis involves the division of objects into subgroups, so that each pair of objects appears at exactly the same frequency and all objects are in each subgroup. The purpose of the work is to compare two incomplete methods for measuring the similarity of preferences, i.e. the triad method and the tetrad method. These methods can be used whenever similarities are measured on an ordinal scale. They have been com-pared in terms of their labour intensity and ability to map the known structure of ob-jects, even when all pairs of objects in subgroups cannot be presented equally frequent-ly.

Keywords

EN

measurement of preferences; triads; tetrads; multidimensional scaling

• Publisher: Główny Urząd Statystyczny
• Journal: Statistics in Transition new series
• Year: 2022
• Volume: 23
• Issue: 3
• Pages: 185-198

Dates

published

2022

Contributors

author

Artur Zaborski

• Wroclaw University of Economics, Faculty of Economics and Finance

• https://orcid.org/0000000313742268

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Identifiers

DOI

10.2478/stattrans-2022-0037

Biblioteka Nauki

2108189