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Analyzing data in RDS

Johnston, Lisa G and Luthra, Renee Reichl (2014) 'Analyzing data in RDS.' In: Tyldum, Guri and Johnston, Lisa G, (eds.) Applying Respondent Driven Sampling to Migrant Populations Lessons from the Field. Palgrave Macmillan, 84 - 100. ISBN 9781137363602

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This chapter reviews how to analyze data gathered using RDS. We begin by reviewing why RDS data cannot be analyzed with general statistical software, and suggest several alternative software options designed for RDS data analysis. We briefly review the different estimators currently in use, and the estimation of variance in RDS analysis. We discuss potential sources of bias in RDS data, including seed dependence, homophily, differential recruitment, and bottlenecks, describing how to diagnose these problems during analysis. In addition, we describe the common practice of exporting weights for multivariate analysis using RDS data. Finally, we discuss the responsible reporting of results from RDS data analysis and provide examples of the use of RDS data to impact policy.

Item Type: Book Section
Subjects: H Social Sciences > H Social Sciences (General)
H Social Sciences > HA Statistics
Divisions: Faculty of Social Sciences > Sociology, Department of
Depositing User: Jim Jamieson
Date Deposited: 12 Aug 2021 07:03
Last Modified: 12 Aug 2021 07:03

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