Women's Empowement Metric for National Statistical Systems (WEMNS): A lean instrument to measure women’s empowerment in nationally representative, multitopic surveys
Monitoring progress toward SDG 5—achieving gender equality and empowering all women and girls— remains challenging without incorporating women’s empowerment metrics into nationally representative and multitopic surveys. To address this problem, we designed the Women’s Empowerment Metric for National...
| Autores principales: | , , , , , , , , , , , , , , , , , , , , , |
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| Formato: | Póster |
| Lenguaje: | Inglés |
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International Food Policy Research Institute
2023
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| Acceso en línea: | https://hdl.handle.net/10568/137077 |
| _version_ | 1855532119332225024 |
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| author | Meinzen-Dick, Ruth S. Seymour, Greg Heckert, Jessica Quisumbing, Agnes R. Malapit, Hazel J. Paz, Florencia Faas, Simone Myers, Emily Doss, Cheryl Sinharoy, Sheela S. Johnson, Erin R. Yuk Fai Cheong Yount, Kathryn M. Hassan, M. Zahidul Hassan, M. Imrul Sharma, Sudhindra Pokhrel, Pankaj Sagastume, Mónica Dardón Kanyanda, Shelton S. E. Vundru, Wilbert D. Kilic, Talip Moylan, Heather |
| author_browse | Doss, Cheryl Faas, Simone Hassan, M. Imrul Hassan, M. Zahidul Heckert, Jessica Johnson, Erin R. Kanyanda, Shelton S. E. Kilic, Talip Malapit, Hazel J. Meinzen-Dick, Ruth S. Moylan, Heather Myers, Emily Paz, Florencia Pokhrel, Pankaj Quisumbing, Agnes R. Sagastume, Mónica Dardón Seymour, Greg Sharma, Sudhindra Sinharoy, Sheela S. Vundru, Wilbert D. Yount, Kathryn M. Yuk Fai Cheong |
| author_facet | Meinzen-Dick, Ruth S. Seymour, Greg Heckert, Jessica Quisumbing, Agnes R. Malapit, Hazel J. Paz, Florencia Faas, Simone Myers, Emily Doss, Cheryl Sinharoy, Sheela S. Johnson, Erin R. Yuk Fai Cheong Yount, Kathryn M. Hassan, M. Zahidul Hassan, M. Imrul Sharma, Sudhindra Pokhrel, Pankaj Sagastume, Mónica Dardón Kanyanda, Shelton S. E. Vundru, Wilbert D. Kilic, Talip Moylan, Heather |
| author_sort | Meinzen-Dick, Ruth S. |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Monitoring progress toward SDG 5—achieving gender equality and empowering all women and girls— remains challenging without incorporating women’s empowerment metrics into nationally representative and multitopic surveys. To address this problem, we designed the Women’s Empowerment Metric for National Statistical Systems (WEMNS) as a short empowerment module for the 50×2030 Initiative, a global partnership that aims to build capacity and close the agricultural data gap in 50 countries by 2030. We aimed to design a measure of women’s and men’s empowerment in urban and rural areas, with the flexibility to be relevant to a variety of livelihood strategies across countries in different stages of rural and structural transformation (e.g., farming, wage labor). WEMNS is a multidimensional index composed of four domains—intrinsic agency, instrumental agency, collective agency, and agency-enabling resources— measured by binary indicators. In this paper we describe the development and validation of the WEMNS index using the Alkire-Foster approach, including: (1) WEMNS’s distinctiveness from other empowerment metrics, (2) the iterative approach to the development and piloting of WEMNS in Bangladesh, Guatemala, Malawi, and Nepal, using cognitive interviewing, phone surveys, and face-to-face surveys, (3) analysis of quantitative pilot data, including intrahousehold patterns of empowerment/disempowerment, and (4) a summary of the findings from the qualitative work. The paper concludes with a discussion of lessons learned and possibilities for further development of empowerment metrics. |
| format | Poster |
| id | CGSpace137077 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2023 |
| publishDateRange | 2023 |
| publishDateSort | 2023 |
| publisher | International Food Policy Research Institute |
| publisherStr | International Food Policy Research Institute |
| record_format | dspace |
| spelling | CGSpace1370772025-11-06T06:55:54Z Women's Empowement Metric for National Statistical Systems (WEMNS): A lean instrument to measure women’s empowerment in nationally representative, multitopic surveys Meinzen-Dick, Ruth S. Seymour, Greg Heckert, Jessica Quisumbing, Agnes R. Malapit, Hazel J. Paz, Florencia Faas, Simone Myers, Emily Doss, Cheryl Sinharoy, Sheela S. Johnson, Erin R. Yuk Fai Cheong Yount, Kathryn M. Hassan, M. Zahidul Hassan, M. Imrul Sharma, Sudhindra Pokhrel, Pankaj Sagastume, Mónica Dardón Kanyanda, Shelton S. E. Vundru, Wilbert D. Kilic, Talip Moylan, Heather gender agriculture research women's empowerment Monitoring progress toward SDG 5—achieving gender equality and empowering all women and girls— remains challenging without incorporating women’s empowerment metrics into nationally representative and multitopic surveys. To address this problem, we designed the Women’s Empowerment Metric for National Statistical Systems (WEMNS) as a short empowerment module for the 50×2030 Initiative, a global partnership that aims to build capacity and close the agricultural data gap in 50 countries by 2030. We aimed to design a measure of women’s and men’s empowerment in urban and rural areas, with the flexibility to be relevant to a variety of livelihood strategies across countries in different stages of rural and structural transformation (e.g., farming, wage labor). WEMNS is a multidimensional index composed of four domains—intrinsic agency, instrumental agency, collective agency, and agency-enabling resources— measured by binary indicators. In this paper we describe the development and validation of the WEMNS index using the Alkire-Foster approach, including: (1) WEMNS’s distinctiveness from other empowerment metrics, (2) the iterative approach to the development and piloting of WEMNS in Bangladesh, Guatemala, Malawi, and Nepal, using cognitive interviewing, phone surveys, and face-to-face surveys, (3) analysis of quantitative pilot data, including intrahousehold patterns of empowerment/disempowerment, and (4) a summary of the findings from the qualitative work. The paper concludes with a discussion of lessons learned and possibilities for further development of empowerment metrics. 2023-10-10 2024-01-04T12:47:15Z 2024-01-04T12:47:15Z Poster https://hdl.handle.net/10568/137077 en Open Access application/pdf International Food Policy Research Institute Meinzen-Dick, Ruth; Seymour, Greg; Heckert, Jessica; Quisumbing, Agnes; Malapit, Hazel; Paz, Florencia; Faas, Simone; Myers, Emily; Doss, Cheryl; Sinharoy, Sheela S.; Johnson, Erin R.; Yuk Fai Cheong; Yount, Kathryn M.; Hassan, M. Zahidul; Hassan, M. Imrul; Sharma, Sudhindra; Pokhrel, Pankaj; Sagastume, Mónica Dardón; Kanyanda, Shelton S.E.; Vundru, Wilbert D.; Kilic, Talip; Moylan, Heather. 2023. Women's Empowement Metric for National Statistical Systems (WEMNS): A lean instrument to measure women’s empowerment in nationally representative, multitopic surveys. Poster. Presented at the CGIAR GENDER Conference 'From Research to Impact: Towards just and resilient agri-food systems', New Delhi, India, 9-12 October 2023. International Food Policy Research Institute. https://hdl.handle.net/10568/137077 |
| spellingShingle | gender agriculture research women's empowerment Meinzen-Dick, Ruth S. Seymour, Greg Heckert, Jessica Quisumbing, Agnes R. Malapit, Hazel J. Paz, Florencia Faas, Simone Myers, Emily Doss, Cheryl Sinharoy, Sheela S. Johnson, Erin R. Yuk Fai Cheong Yount, Kathryn M. Hassan, M. Zahidul Hassan, M. Imrul Sharma, Sudhindra Pokhrel, Pankaj Sagastume, Mónica Dardón Kanyanda, Shelton S. E. Vundru, Wilbert D. Kilic, Talip Moylan, Heather Women's Empowement Metric for National Statistical Systems (WEMNS): A lean instrument to measure women’s empowerment in nationally representative, multitopic surveys |
| title | Women's Empowement Metric for National Statistical Systems (WEMNS): A lean instrument to measure women’s empowerment in nationally representative, multitopic surveys |
| title_full | Women's Empowement Metric for National Statistical Systems (WEMNS): A lean instrument to measure women’s empowerment in nationally representative, multitopic surveys |
| title_fullStr | Women's Empowement Metric for National Statistical Systems (WEMNS): A lean instrument to measure women’s empowerment in nationally representative, multitopic surveys |
| title_full_unstemmed | Women's Empowement Metric for National Statistical Systems (WEMNS): A lean instrument to measure women’s empowerment in nationally representative, multitopic surveys |
| title_short | Women's Empowement Metric for National Statistical Systems (WEMNS): A lean instrument to measure women’s empowerment in nationally representative, multitopic surveys |
| title_sort | women s empowement metric for national statistical systems wemns a lean instrument to measure women s empowerment in nationally representative multitopic surveys |
| topic | gender agriculture research women's empowerment |
| url | https://hdl.handle.net/10568/137077 |
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