Trait Preference Coefficients that scale economic weights
Respondent trait preferences (observed preference) were calculated using the 1000minds survey. The expected preference is calculated from the monetary worth of the trait improvement offered in the survey. The observed preferences were divided by the expected preferences to get trait preference coef...
| Autores principales: | , , |
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| Formato: | Conjunto de datos |
| Lenguaje: | Inglés |
| Publicado: |
WorldFish
2024
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/163514 |
| _version_ | 1855534278500155392 |
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| author | Adams, Chris Byrne, Tim Cole, Steven |
| author_browse | Adams, Chris Byrne, Tim Cole, Steven |
| author_facet | Adams, Chris Byrne, Tim Cole, Steven |
| author_sort | Adams, Chris |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Respondent trait preferences (observed preference) were calculated using the 1000minds survey. The expected preference is calculated from the monetary worth of the trait improvement offered in the survey. The observed preferences were divided by the expected preferences to get trait preference coefficients. The trait preference coefficients were then analysed using a principal component analysis followed by a bootstrapped (100,000) k-means (k = 4) clustering to determine trait preference clusters. The mean trait preference coefficient per cluster was then calculated |
| format | Conjunto de datos |
| id | CGSpace163514 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2024 |
| publishDateRange | 2024 |
| publishDateSort | 2024 |
| publisher | WorldFish |
| publisherStr | WorldFish |
| record_format | dspace |
| spelling | CGSpace1635142025-12-12T20:15:51Z Trait Preference Coefficients that scale economic weights Adams, Chris Byrne, Tim Cole, Steven tilapia fish trait preference typology analysis loading factors food conversion ratio fish mortality Respondent trait preferences (observed preference) were calculated using the 1000minds survey. The expected preference is calculated from the monetary worth of the trait improvement offered in the survey. The observed preferences were divided by the expected preferences to get trait preference coefficients. The trait preference coefficients were then analysed using a principal component analysis followed by a bootstrapped (100,000) k-means (k = 4) clustering to determine trait preference clusters. The mean trait preference coefficient per cluster was then calculated 2024-11-20 2024-12-16T08:47:02Z 2024-12-16T08:47:02Z Dataset https://hdl.handle.net/10568/163514 en Limited Access WorldFish Chris Adams, Tim Byrne, Steven Cole. (20/11/2024). Trait Preference Coefficients that scale economic weights [Survey Data]. |
| spellingShingle | tilapia fish trait preference typology analysis loading factors food conversion ratio fish mortality Adams, Chris Byrne, Tim Cole, Steven Trait Preference Coefficients that scale economic weights |
| title | Trait Preference Coefficients that scale economic weights |
| title_full | Trait Preference Coefficients that scale economic weights |
| title_fullStr | Trait Preference Coefficients that scale economic weights |
| title_full_unstemmed | Trait Preference Coefficients that scale economic weights |
| title_short | Trait Preference Coefficients that scale economic weights |
| title_sort | trait preference coefficients that scale economic weights |
| topic | tilapia fish trait preference typology analysis loading factors food conversion ratio fish mortality |
| url | https://hdl.handle.net/10568/163514 |
| work_keys_str_mv | AT adamschris traitpreferencecoefficientsthatscaleeconomicweights AT byrnetim traitpreferencecoefficientsthatscaleeconomicweights AT colesteven traitpreferencecoefficientsthatscaleeconomicweights |