‘Analytical Methods’ Webinar Series

Large-scale household surveys, such as the Demographic and Health Surveys (DHS) and Multiple Indicator Cluster Surveys (MICS), provide a wealth of information that decision-makers can use to better inform nutrition policy and program actions. This series highlights methods for analyzing large-scale household surveys to support decision-makers in driving action on nutrition targets. During each session, a technical expert provides step-by-step instructions for applying analytical methods.

Individuals who are interested in showcasing their work in this series can contact Riley Auer (sauer1@jhu.edu) for more information.

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Past Webinars

Analytical methods to assess population-level changes in growth faltering and nutrition-related inequalities

View this event in the Data for Nutrition community of practice and access additional materials here.

Description:

Robust analytic methods can be applied to DHS, MICS, LSMS and other national datasets to support decision-makers in understanding and addressing the nutrition situation in their context. In follow-up to Data for Nutrition’s recent webinar, “Analytical methods to identify drivers of change in population-level nutrition outcomes: Multivariable decomposition approach”, we revisit the work of the Exemplars in Global Health. Robert Black (JHSPH) will provide an overview of equity analyses approaches before presentations from Nadia Akseer (JHSPH) and Fernando Wehrmeister (Univ. Pelotas). The session will discuss analyses used in the Exemplars’ Peru case study and will focus on explaining the methods for assessing growth faltering and nutrition-related inequalities and how they can be applied by others. Then, Fernando Wehrmeister will discuss how wealth quintiles/deciles and absolute income methods were applied to support nutrition decision-makers in low- and middle-income countries. Q&A session moderated by Robert Black will follow presentations.

Analytical methods to identify drivers of change in population-level nutrition outcomes: Multivariable decomposition approach

Data for Nutrition members can access supplementary materials here.

Description:

National multitopic household surveys (e.g., Demographic and Health Surveys, Multiple Indicator Cluster Surveys) provide a wealth of information to guide nutrition policy and program action. In efforts to identify drivers of stunting decline across 5 countries, the Exemplars in Global Health initiative used a multivariable decomposition approach to analyze multiple rounds of national household surveys. In this webinar, Nadia Akseer (JHSPH) will explain an analytical approach and help the audience identify ways they might apply it in their work. Commentary and Q&A moderated by Goutham Kandru (Gates Ventures) following the presentation.