Respondentdriven sampling columbia university mailman. Application of the respondentdriven sampling methodology in a. Respondent driven sampling 261 in every site, there is a mark ed increase in the reported rate of emplo yment for each sta ge in the referral process fig. Using data collected among three populations in two countries, we illustrate the application of this approach to populations with varying characteristics.
Diagnostics for respondentdriven sampling krista j. Using data from respondentdriven sampling studies to estimate the. Respondentdriven sampling rds is a method of chain referral sampling popular for sampling hidden andor marginalized populations. Objectives assess mental health outcomes among women raising children from sexual violencerelated pregnancies svrps in eastern democratic republic of congo and stigma toward and acceptance of women and their children. The precondition for using this recruitment strategy is the existence of. Applying respondent driven sampling to migrant populations. Respondentdriven sampling rds is a variant of linktracing, a sampling technique for surveying hardtoreach communities that takes advantage of community members social networks to. Rds analysis tool lets you perform respondentdriven sampling. We implemented the first, integrated, biobehavioural surveillance survey among men who have sex with men, female. Douglas heckathorn, a professor of sociology at cornell and has been applied to groups ranging from men who have sex with men, injection drug users, children living on the street and jazz musicians.
The first step in respondent driven sampling is to recruit an initial set of respondents whose serve as a sort of seed. Respondent driven sampling rds is a method to sample hardtoreach populations such as injecting drug users, men who have sex with men msm, and sex workers 1. Data are collected through a peerreferral process in which current sample members harness existing social networks to recruit additional sample members. Mar 11, 2016 respondent driven sampling rds is used in a variety of settings to study hardtoreach populations at risk for hiv and sexually transmitted infections. In this video you will learn ow to import respondent driven sampling rds data into respondent driven sampling analysis tool rdsat. Hardtoreach populations are characterized by the difficulty in sampling from them using standard probability methods. Respondent driven sampling rds is a recently developed method used to sample hidden and hard to reach populations such as injecting drug users, commercial sex workers, and men who have sex with men. Participants were recruited from the local msm population based on diverse characteristics, including age and. A standard protocol developed in collaboration with cdc and researchers from 24 other us metropolitan areas was implemented. Workshop on respondentdriven sampling analyst software. Special offer researchers if you will be conducting respondent driven research study or any other research study that could benefit from a computerized questionnaire, we invite you to put our bryant research system software to the test. Respondent driven sampling rds is a widely used method for sampling from hardtoreach human populations, especially groups most atrisk for hivaids. Respondent driven sampling rds is a widely used method for sampling from hardtoreach human populations, especially populations at higher risk for hiv. This study tests the feasibility, effectiveness, and efficiency of respondentdriven sampling rds as a webbased sampling method.
Using data from respondentdriven sampling studies to estimate the number of people who inject drugs. Respondentdriven sampling rds is one method that can be used to reach. Although the method is often effective at attaining large and varied samples, its reliance on convenience samples, social. Salganik microsoft research, new york, and princeton university, usa received august 20 summary. Sampling and estimation in hidden populations using respondent driven sampling matthew j. Idu are an especially wellsuited population for rds methodology because they.
Methods for inference from respondentdriven sampling data. Sep 21, 2010 respondent driven sampling rds is a network sampling technique typically employed for hardtoreach populations e. As such, even under the ideal sampling assumptions, the performance of rds is restricted by the underlying social network. Respondentdriven sampling for identification of hiv and hcvinfected people who inject drugs and men who have sex with men in india. Respondent driven sampling rds is a method of chain referral sampling popular for sampling hidden andor marginalized populations. Rds analyst install hardtoreach population methods. Respondentdriven sampling rds is a widely used method for sampling from hardtoreach human populations, especially groups most atrisk for hivaids. Aug 15, 2016 presentation by giovanna merli on day 4 of social networks and health workshop at duke university. Rds sampling consists of the following three steps.
To facilitate computation of the sampling equilibrium, number of waves required for equilibrium to be attained, estimated population size, homophily, and other relevant terms, custom software has been developed. Researchers in many scientific fields make inferences from individuals to larger groups. Improved inference for respondentdriven sampling data with application to hiv prevalence estimation. This study tests the feasibility, effectiveness, and efficiency of respondent driven sampling rds as a webbased sampling method. Rds analysis tool lets you perform respondentdriven sampling analysis. Respondent driven sampling how is respondent driven. Respondentdriven sampling is a commonly used method for sampling from hardtoreach human populations connected by an underlying social network of relations. Novel sampling design for respondentdriven sampling. By tracing the links in the underlying social network, the process exploits the social structure to expand the sample and reduce its dependence on the initial convenience sample. Respondentdriven sampling rds, introduced by heckathorn 1997, also 2002, 2007, see also salganik and heckathorn, 2004, volz and heckathorn 2008 is an approach to sampling design and inference in hardtoreach populations.
Respondentdriven sampling rds is a method to sample hardtoreach populations such as injecting drug users, men who have sex with men msm, and. Respondentdriven sampling rds, combines snowball sampling with a. Respondent driven sampling rds has come a long way since the days of snowball sampling and offers an important new tool for social scientists seeking to study small, rare, and hardtofind populations. Statistical sampling methods software free download. Respondent driven samplingwhere we are and where should. Prevalence of hiv and other infections and correlates of.
Respondent driven sampling for identification of hiv and hcvinfected people who inject drugs and men who have sex with men in india. Qr and standard barcodes are compatible with the system. Respondentdriven sampling rds is a peerreferral sampling and analysis method that provides a way to account for several sources of bias and calculate population estimates 46 now widely used to reach hidden populations including many at high risk for hiv. Application of respondent driven sampling to collect baseline. Webbased respondent driven sampling rds researchsite management, development and monitoring. The first step in respondentdriven sampling is to recruit an initial set of respondents whose serve as a sort of seed.
Sampling and estimation in hidden populations using. Efforts to improve the main disadvantage of snowball sampling resulted in the respondent driven sampling rds method. Johnston tulane university, neworleans,anduniversityofcalifornia,sanfrancisco,usa and matthew j. Respondentdriven sampling for identification of hiv and. Bryant research systems developed respondent driven sampling software that generates the unique serial numbering used to link a participant and their social network and convert it into a barcode. Respondent driven sampling by matthias schonlau, elisabeth. May 08, 2014 in this video you will learn ow to import respondent driven sampling rds data into respondent driven sampling analysis tool rdsat. First developed in 1997 by douglas heckathorn, it is commonly used in hiv research, where groups at high risk of disease exposure are hardtoreach such as sex workers and illicit drug users. As a variant of a chainreferral sampling, it does not require the development of a sampling frame. Rds analyst rdsa is a software package for the analysis of respondent driven sampling rds data that implements recent advances in statistical methods rds analyst has an easytouse graphical user interface to the powerful and sophisticated capabilities of the computer package r. This video is part of a series on how to analyze data from.
Respondent driven sampling rds is a network sampling technique typically employed for hardtoreach populations e. Presentation by giovanna merli on day 4 of social networks and health workshop at duke university. How to implement respondentdriven sampling in practice. Respondent driven sampling is a commonly used method for sampling from hardtoreach human populations connected by an underlying social network of relations. However, rds data are unique and require specialized analysis techniques, many of which remain underdeveloped. Rds analyst provides a comprehensive framework for working with rds data, including tools for. So for such populations, these hidden populations one approach is respondentdriven sampling. Respondentdriven sampling rds is widely used for collecting data on hardtoreach populations such as men who have sex with men, sex workers, and. Total population data on age, tribe, religion, socioeconomic status, sexual activity, and hiv status were available on a population of 2402 male household heads from an open cohort in rural uganda. Hiv risk behavior and hiv testing among rural and urban.
Interactive mode allows users to analyze one file at a time using interactive pointandclick menus. Respondentdriven sampling rds is a widely used method for sampling from hardtoreach human populations, especially populations at higher risk for hiv. Estimation and correction of bias in network simulations. Formative research to optimize respondent driven sampling surveys among hardtoreach populations in hiv behavioral and biological surveillance. Bss data analysis importing rds data into rdsat youtube. Workshop on respondentdriven sampling analyst software by the hardtoreach population methods research group we are. Lessons learned from respondentdriven sampling recruitment. Bivariate and multivariate logistic regression analysis. Effectiveness of respondentdriven sampling for recruiting.
Point estimates, variance, degree measures, and outofequilibrium data. We evaluated respondent driven sampling by comparing estimates from a respondent driven sampling survey with total population data. Rds coupon manager the respondent driven sampling coupon manager rdscm provides a convenient way to keep track of coupons numbers and respondent compensation and is developed by douglas heckathorn. Design participants were recruited using respondentdriven sampling. Bryant research systems respondentdriven sampling blog. Application of respondent driven sampling to collect baseline data on fsws and msm for hiv risk reduction interventions in two urban. Modelbased respondentdriven sampling analysis for hiv.
Setting bukavu, democratic republic of congo in 2012. Using respondentdriven sampling rds to recruit participants, the study initially recruited eight participants in rural areas and five participants in urban areas as seeds. All rds studies begin with a small number of seeds from the target population e. Beginning with a convenience sample, participants pass coupons to invite their contacts to join the sample. Similar to snowball sampling, initial seed respondents recruit additional respondents from their network of friends. Gile, university of massachusetts, amherst, usa lisa g.
Respondent driven sampling lisa g johnston, ma, mph, phd. The sensitivity of respondentdriven sampling method. Data are collected through peerreferral over social networks. Seeds then use these coupons to recruit other people, who themselves become. Feb, 2020 respondent driven sampling rds is a variant of linktracing, a sampling technique for surveying hardtoreach communities that takes advantage of community members social networks to reach.
Respondent driven sampling rds is a novel variant of link tracing sampling that has primarily been used to estimate the characteristics of hardtoreach groups, such as the hiv prevalence of drug users. Respondentdriven sampling rds has become increasingly popular for sampling hidden populations, including injecting drug users idu. Use features like bookmarks, note taking and highlighting while reading applying respondent driven sampling to migrant populations. Respondent driven sampling rds is a chainreferral method for sampling members of a hidden or hardtoreach population such as sex workers, homeless people, or drug users via their social network. For many groups however, there is no list of members from which to. Although the method is often effective at attaining large and varied samples, its reliance on convenience samples, social network.
This information along with data from the coupon tracking system was analyzed using respondentdriven sampling analysis tool rdsat. It is distributed under the boost sl bsl is a free. Comparing respondentdriven sampling and targeted sampling. May 25, 2012 for submitting all required data to cdc in a timely manner through the data coordinating center dcc data portal. Rds analyst rdsa is a software package for the analysis of respondentdriven sampling rds data that implements recent advances in statistical methods rds analyst has an easytouse graphical user interface to the powerful and sophisticated capabilities of the computer package r. Rds is a type of snowball sampling used for analyzing characteristics of hidden or hardtoreach populations. Johnston lg, whitehead s, simiclawson m, kendall c. So for such populations, these hidden populations one approach is respondent driven sampling. Respondent driven sampling rds is the method used for sampling from hardtoreach human populations.
Respondentdriven sampling rds is a chainreferral method for sampling members of a hidden or hardtoreach population such as sex workers, homeless people, or drug users via their social network. Workshop on respondent driven sampling analyst software by the hardtoreach population methods research group we are. Estimating the size of hidden populations using respondentdriven sampling data. Univariate analysis to calculate key sociodemographic, behavioral, and biological indicators was done using respondentdriven sampling analyst rdsa statistical software that provides weighted population estimates with 95% confidence intervals 95% ci of the variables of interests. Improved inference for respondentdriven sampling data with. Respondent driven sampling rds is a relatively new approach to recruit hardtoreach populations for biological and behavioural surveillance. Feb 17, 2014 bryant research systems developed respondent driven sampling software that generates the unique serial numbering used to link a participant and their social network and convert it into a barcode. Respondentdriven sampling for identification of hiv and hcv. The respondent driven sampling analysis tool rdsat 6. This may be a convenient sample, where the researcher goes to a venue where known members of the population congregate. Seeds should be diverse and wellnetworked, but they do not need to be chosen randomly. Respondentdriven sampling rds has been used in surveys with key populations at risk of hiv infection, such as female sex workers fsw.
Webbased rds webrds is found to be highly efficient and effective. Respondentdriven sampling 261 in every site, there is a mark ed increase in the reported rate of emplo yment for each sta ge in the referral process fig. The first step in respondentdriven sampling is to recruit an initial set of. Rds augments the referral method by weighting the sample in order to compensate for the initial nonrandom selection, which may lead to the reduction of errors occurring in sampling by the referral method. Rds has proven practical for data collection in many difficult settings and is widely used. Johnston offer a definitive guide showing migration researchers to make optimal use of rds methodologies.
If you provide us with an electronic copy of your questionnaire, we will set up a web site. Downloads in order to help the community take advantage of the respondent driven sampling methodology, we have developed a software package capable of analysing rds data sets. Respondent driven sampling rds, combines snowball sampling getting individuals to refer those they know, these individuals in turn refer those they know and so on with a mathematical model that weights the sample to compensate for the fact that the sample was collected in a nonrandom way. We evaluated respondentdriven sampling by comparing estimates from a respondentdriven sampling survey with total population data. Lessons from the field palgrave pivot kindle edition by tyldum, g.
Respondentdriven sampling rds is a networkbased technique for. Driven sampling methodology, we have developed a software. Respondentdriven sampling sfdph conducted a crosssectional behavioral surveillance survey using rds among idu in san francisco in 2005, as part of the cdc nhbs study. Respondentdriven sampling rds is used in a variety of settings to study hardtoreach populations at risk for hiv and sexually transmitted infections. Implementation and analysis of respondent driven sampling. We implemented the first, integrated, biobehavioural surveillance survey among men who have sex with men, female sex. However, practices leading to successful recruitment among diverse populations in lowresource settings are seldom reported. Moreover, as livein care workers appear to have limited free time.
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