Johnston, Lisa G and Luthra, Renee Reichl (2014) Analyzing data in RDS. In: Applying Respondent Driven Sampling to Migrant Populations Lessons from the Field. Palgrave Macmillan, pp. 84-100. ISBN 9781137363602. Official URL: https://doi.org/10.1057/9781137363619_8
Johnston, Lisa G and Luthra, Renee Reichl (2014) Analyzing data in RDS. In: Applying Respondent Driven Sampling to Migrant Populations Lessons from the Field. Palgrave Macmillan, pp. 84-100. ISBN 9781137363602. Official URL: https://doi.org/10.1057/9781137363619_8
Johnston, Lisa G and Luthra, Renee Reichl (2014) Analyzing data in RDS. In: Applying Respondent Driven Sampling to Migrant Populations Lessons from the Field. Palgrave Macmillan, pp. 84-100. ISBN 9781137363602. Official URL: https://doi.org/10.1057/9781137363619_8
Abstract
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 Faculty of Social Sciences > Sociology and Criminology, Department of |
| SWORD Depositor: | Unnamed user with email elements@essex.ac.uk |
| Depositing User: | Unnamed user with email elements@essex.ac.uk |
| Date Deposited: | 12 Aug 2021 07:03 |
| Last Modified: | 16 May 2024 18:43 |
| URI: | http://repository.essex.ac.uk/id/eprint/26874 |