Agnes Quisumbing

Women’s Empowerment Metric for National Statistical Systems (WEMNS): Development and psychometric assessment of a face-to-face survey module

Data to monitor progress towards gender-related Sustainable Development Goals (SDGs) remain limited. A comprehensive, concise set of metrics is needed for routine national data collection to monitor progress toward these goals. Our team developed and tested the Women’s Empowerment Metric for National Statistical Systems (WEMNS) survey module for use by national statistical offices and survey organizations in low- and middle-income countries (LMICs) to measure women’s and men’s empowerment. This paper summarizes the process of developing the WEMNS module and presents detailed results of a psychometric assessment of face-to-face surveys in Bangladesh, Malawi, and Nepal. Exploratory factor analysis and confirmatory factor analysis (CFA) in the pooled sample confirmed that most of the 13 item sets had adequately identified factor structures aligned with specific empowerment constructs and gender-related SDGs. In multi-group CFA assessing measurement equivalence of item sets across gender and countries, configural invariance was observed for 9 of 13 item sets across genders and across country settings. At least partial scalar invariance was observed for one item set across genders and no item sets across country settings. Spearman pairwise correlations among WEMNS factor scores derived from final CFA models showed weak associations, suggesting item sets were weakly related and distinct. Overall, Spearman pairwise correlations of 13 WEMNS-derived factor scores with external measures for basic needs, resources, agency, and subjective well-being were weak, but five moderately high correlations were conceptually aligned. In sum, the WEMNS measures require refinement and further psychometric assessment to confirm their use to make valid comparisons of empowerment across country settings and gender.

How can anticipatory action programming support women? Application of the reach-benefit-empower-transform framework in Nepal and Nigeria

Module for measuring gender norms in agrifood systems: Adapted for focusing on youth and mechanization in Bangladesh

This module is designed for use in agricultural communities in Bangladesh. Specifically, we expect that it will be well suited for evaluating changes in gender norms for gender transformative approaches paired with technical interventions with an agricultural mechanization component. This module is also designed to focus on differences in norms for young women (~ age 1534) and more mature women (~age 35-64) working in agriculture. First, we suggest identifying and using culturally appropriate terminology to refer to women in these two age groups. Additionally, we suggest piloting this survey in a sample with adequate numbers of younger and older women and men. For example, >300 respondents in each of the following categories: women 15-34, men 15-34, women 35-64, and men 35-64. These sample sizes will make it possible to compare perceptions of gender norms regarding younger and older women and consider gender by youth intersectionality. In the modules that follow, the same questions are asked regarding young women and older/mature women. One option to consider that can help avoid respondent fatigue from repeating similar questions would be to randomly assign half of the sample questions about young women and the other half of the sample questions about older/mature women.