
Contents
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Introduction Introduction
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Methodology Methodology
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The Network Scale-Up Estimator The Network Scale-Up Estimator
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Estimating Degree Estimating Degree
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Bayesian Approach Bayesian Approach
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Generalized Network Scale-Up Generalized Network Scale-Up
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Survey Design Survey Design
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Defining “Know” Defining “Know”
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The Scaled-Down Condition The Scaled-Down Condition
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Conclusion Conclusion
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References References
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9 The Network Scale-Up Method
Get accessTyler H. McCormick is Associate Professor of Statistics and Sociology at the University of Washington, where he is also a core faculty member in the Center for Statistics and the Social Sciences. He is also a Senior Data Science Fellow and colead for Data Science Education & Career Development at the eScience Institute, the University of Washington’s data science center. McCormick’s work develops statistical models that infer dependence structure in scientific settings where data are sparsely observed or subject to error. His recent projects include estimating features of social networks (e.g., the degree of clustering or how central an individual is) using data from standard surveys, inferring a likely cause of death (when deaths happen outside of hospitals) using reports from surviving caretakers, and quantifying and communicating uncertainty in predictive models for global health policymakers. He holds a PhD in Statistics (with distinction) from Columbia University and is the recipient of an NIH Career Development (K01) Award, an Army Research Office Young Investigator Program Award, and a Google Faculty Research Award. Tyler currently serves as Editor for the Journal of Computational and Graphical Statistics (JCGS).
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Published:15 December 2020
Cite
Abstract
The network scale-up method is one of a series of methods that leverage a respondent’s social network to more effectively capture information about specific groups or about the population as a whole. The network scale-up method works with questions that are known as aggregated relational data (ARD). These questions take the form “How many Xs do you know?” That is, ARD are count data consisting of the number of connections between a respondent and individuals with a specific characteristic. Critically, ARD do not involve observing any links in the network and are collected using standard probability sampling techniques. The main focus of this chapter is estimating the size of a group of individuals using ARD and the network scale-up method. As the name implies, the method uses information for survey respondents’ social networks to “scale up” to an entire population.
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