Closing the Data Gap: Case Studies on Gender Biases in Global Health Surveys

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Abstract/Contents

Abstract: Global surveys are critical to conducting global health research on a variety of topics, which are directly responsible for shaping national health policies and informing monitoring and evaluation programs internationally. In recent years, various organizations including the United Nations and Gates Foundation have called attention to gender gaps in knowledge for key public health data. Although, we now have a strong understanding of where gender data is completely missing, we have a ways to go to understand how existing data may hold gender biases. In this thesis we assess how questionnaire formation can carry gender biases that may impact data collected and in turn future analyses. First, we studied gender-nonspecific questionnaires to understand the forms of gender bias and domains of interest targeted. Second, we studied the evolution of a gender-specific questionnaire over time to track changes in the focus of men’s and women’s versions of the survey. We utilized the results from both case studies to develop a series of general guidelines for future questionnaire design to minimize the amount of gender bias.

Type of resource	text
Date created	June 1, 2019

Author	Gupta, Ribhav
Primary advisor	Darmstadt, Gary

Subject	center on democracy development and the rule of law
Subject	global health
Subject	gender equality
Subject	demographic and health survey
Subject	world value survey
Subject	gallup world poll
Genre	Thesis

Related Publication	Weber AM, Cislaghi B, Meausoone V, Abdalla S, Mejía-Guevara I, Loftus P, et al. Gender norms and health: insights from global survey data. The Lancet. 2019 May; S0140673619307652.
Location	https://purl.stanford.edu/xp435rt8577

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Preferred Citation: Gupta, Ribhav. (2019). Closing the Data Gap: Case Studies on Gender Biases in Global Health Surveys. Stanford Digital Repository. Available at: https://purl.stanford.edu/xp435rt8577

Stanford University, Fisher Family Honors Program in Democracy, Development, and the Rule of Law. (CDDRL)

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