Measuring intangibles: Methodological challenges in gender analysis

Session Number: FIE2
Track: Feminist Issues in Evaluation
Session Type: TIG Multipaper
Session Chair: Samera Zaidi [Research Analyst - D3 Systems ]
Discussant: Michael Bamberger, Dr. [Independent consultant - independent consultant]
Presenter 1: Carolina Mejia [M&E/Gender Technical Advisor - University of North Carolina]
Presenter 2: Apollo Nkwake, Credentialed Evaluator (CE) [Associate Research Professor of International Affairs - Elliott School of International Affairs, The George Washington University]
Presenter 3: Samera Zaidi [Research Analyst - D3 Systems ]
Time: Nov 09, 2017 (11:30 AM - 12:15 PM)
Room: Madison A

Abstract 1 Title: Big Data Analytics for Measuring Gender Norms: Too Big to Ignore
Presentation Abstract 1: Many national and international health programs seek to change gender norms to improve health, achieve gender equities in health, and evaluate the results. However, collecting longitudinal gender norms data through traditional surveys poses many challenges, including cost and time. Big data, which includes social media, promises big opportunities for providing large-scale access to public views of attitudes, norms, and behavior. However, given the nascent nature of social media data and its shear volume, this unprecedented opportunity comes with a number of methodological challenges, including generalizing observations to the offline world, adding new biases, protecting individual privacy, considering cross-cultural issues and ethical implications, and logistics. This panel will review current advances in online social media data; illustrate examples of how these data sources can be used in gender analysis; and critically assess the theoretical and methodological opportunities and limitations for evaluation.
Abstract 2 Title: Data equality: Addressing gender data gaps at program level
Presentation Abstract 2: The paper reflects on the issue of “gender data gaps”. In spite of the global commitments to women’s empowerment and gender equality (including SDG#5), there are inadequate coverage and quality of data about the well-being of women and girls which often results in systematic stereotyping within surveys. This presentation will point out some key accomplishments as regards addressing gender data gaps at the global level, then discuss some implications of measuring gender at the level of program interventions.
Abstract 3 Title: Developing and validating measures of women’s economic rights in socially restrictive and conservative environments.
Presentation Abstract 3: Women’s economic rights are essential to gender equality and the stabilization of fragile economies. However, gender indicators often neglect to incorporate the perspective of the beneficiary. This methodological flaw is common in socially restrictive settings like Afghanistan where there is a lack of data due to sensitivity issues, insecurity, and limited accessibility. Women’s economic empowerment is not a one-dimensional metric and subsequently, various stakeholders measure it using different methods. Under this pretext, this assessment was designed to identify domains within women’s economic empowerment unique to conservative environments where women’s participation in the economy is limited. The quantitative research developed and validated culturally specific women’s economic rights scales which were used as baseline measures of women’s economic rights and to measure impact of UN Women programming in country. This presentation will foster a better understanding of how to conceptualize and measure women’s economic empowerment in socially conservative environments.
Presentation 3 Other Authors: Sabawoon Ahmadzai, UN Women Afghanistan
Theme: Select one
Audience Level: None

Session Abstract (150 words):  Measuring intangibles: Methodological challenges in gender analysis