Pairwise comparisons as a scale development tool for composite measures
Composite scales are widely used for measuring aggregate social science concepts. These often consist of linear indices obtained as the weighted sum of a set of relevant indicators. However, selecting coefficients (or weights) that reflect the substantive importance of each indicator towards the con...
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| Veröffentlicht in: | Journal of the Royal Statistical Society. Series A, Statistics in society Jg. 185; H. 2; S. 519 - 542 |
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| Hauptverfasser: | , |
| Format: | Journal Article |
| Sprache: | Englisch |
| Veröffentlicht: |
Oxford
Oxford University Press
01.04.2022
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| Schlagworte: | |
| ISSN: | 0964-1998, 1467-985X |
| Online-Zugang: | Volltext |
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| Zusammenfassung: | Composite scales are widely used for measuring aggregate social science concepts. These often consist of linear indices obtained as the weighted sum of a set of relevant indicators. However, selecting coefficients (or weights) that reflect the substantive importance of each indicator towards the concept of interest is a difficult task. We propose a method for the generation of linear indices for aggregate concepts based on pairwise comparisons. Specifically, we ask a group of subject‐matter experts to perform a series of pairwise comparisons, with respect to the concept of interest, between profiles displaying different combinations of indicators. This allows us to estimate coefficients for each indicator that provide a linear approximation to how experts make the pairwise evaluations. As we show, the method makes it straightforward to assess intercoder reliability, while being a more accessible task than directly asking experts for coefficients. We demonstrate our method with an application to the concept of ‘productive ageing’, including a cross‐cultural comparison of weighting schemes derived from a group of Italian and a group of South Korean experts on this concept. |
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| Bibliographie: | Funding information Economic and Social Research Council, 1+3 PhD Scholarship ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 |
| ISSN: | 0964-1998 1467-985X |
| DOI: | 10.1111/rssa.12790 |