Operational procedures, evolution of estimators, and topics for future research. We evaluated respondentdriven sampling by comparing estimates from a respondentdriven sampling survey with total population data. Rds analysis tool lets you perform respondentdriven sampling analysis. Workshop on respondentdriven sampling analyst software by the hardtoreach population methods research group we are. Lessons learned from respondentdriven sampling recruitment. Jun 09, 20 posted on june 9, 20, in uncategorized and tagged analysis options, rdsat, research, respondent driven sampling, sampling methodology, software. Background ugandas generalized hiv epidemic is well described, including an estimated adult male hiv prevalence in kampala of 4. Bss data analysis importing rds data into rdsat youtube. The system ensures the quality and the integrity of the data collected in real time. It is effectively used to avoid bias in snowball sampling. We implemented the first, integrated, biobehavioural surveillance survey among men who have sex with men, female. This includes heckathorns rdsi and rdsii estimators as well as giles sequential sampling estimator. Respondentdriven sampling provides functionality for carrying out estimation with data collected using respondentdriven sampling.
Estimation from the resulting samples is an area of active research, with software available to compute at least four estimators of a population proportion. We evaluated respondent driven sampling by comparing estimates from a respondent driven sampling survey with total population data. Respondentdriven sampling is a commonly used method for sampling from. Rds analyst install hardtoreach population methods research. Sampling and estimation in hidden populations using. The package is part of the rds analyst suite of packages for the analysis of respondentdriven. Respondent driven sampling rds is a sampling technique typically employed for hardtoreach populations for example, homeless people, people with aids, immigrants. 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. Participants were recruited through respondentdriven sampling rds, which is a strategy for reaching stigmatized or hidden communities greiner et al. Workshop on respondentdriven sampling analyst software. Rds analyst install hardtoreach population methods.
Snowball sampling, also known as a reputational sampling, relies upon personal contacts of the people interviewed to gather information about other prospective respondents trochim 2006. Recruitment of msm was initiated on october 1, 2012, and ended june 24. Respondentdriven sampling rds is a chainreferral strategy for recruiting hardtoreach populations that has increasingly been used to assess the burden of disease, including human immunodeficiency virus hiv infection. Provides functionality for carrying out estimation with data collected using respondentdriven sampling. This installer is over 110mb in size and will take time to download. Respondentdriven sampling for identification of hiv and.
The package is part of the rds analyst suite of packages for the analysis of respondent driven sampling data. Editorial respondent driven sampling where we are and. Webbased respondent driven sampling rds researchsite management, development and monitoring. Background respondent driven sampling rds was designed to study. Methods for inference from respondentdriven sampling data.
Respondentdriven sampling rds is a form of chainreferral sampling, similar to snowball sampling, which was developed to reach hidden populations such as people who inject drugs pwid. In addition to the capacity to recruit research participants from hardtoreach populations, there is an rds statistical software package available that allows researchers to analyze their data using the rds mathematical. Respondentdriven sampling and population summary metrics. Hidden population size estimation from respondentdriven. Workshop on respondent driven sampling analyst software by the hardtoreach population methods research group we are. Webbased rds webrds is found to be highly efficient and effect. Similar to snowball sampling, initial seed respondents recruit additional respondents from their network of friends. Rds is said to reach members of a hidden population that may not be accessible through other sampling methods. As a variant of a chainreferral sampling, it does not require the development of a sampling frame.
Respondent driven sampling rds is a survey method for hidden populations that relies on social link tracing. A single weighting approach to analyze respondentdriven sampling. Driven sampling methodology, we have developed a software. Respondentdriven sampling rds is a widely used method for sampling from hardtoreach human populations, especially populations at higher risk for hiv. Provides functionality for carrying out estimation with data collected using respondent driven sampling. May 08, 2014 in this video you will learn ow to import respondent driven sampling rds data into respondent driven sampling analysis tool rdsat. Respondent driven sampling 243 this paper makes two main contributions. Effectiveness of respondentdriven sampling for recruiting. July 11, 2012 and january 21, 20 by using a webrds software. 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. Formative research to optimize respondent driven sampling surveys among hardtoreach populations in hiv behavioral and biological surveillance. This study tests the feasibility, effectiveness, and efficiency of respondentdriven sampling rds as a webbased sampling method. Estimating the size of populations at high risk for hiv. 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 the comprehensive r archive. Respondent driven sampling how is respondent driven. Respondentdriven sampling rds, a new form of chainreferral sampling, is designed to eliminate the bias caused by the nonrandom selection of the initial recruits and reduce other sources of bias e. Rds analyst is essentially a set of tools to interpret data that has been collected in this way. Respondentdriven sampling software 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. A total of 56 seeds led to the recruitment of 26,447 n 11,997 msm. Respondentdriven sampling rds employs a variant of a linktracing network. Respondentdriven sampling rds is a method to sample hardtoreach populations such as injecting drug users, men who have sex with men msm, and.
Posted on june 9, 20, in uncategorized and tagged analysis options, rdsat, research, respondent driven sampling, sampling methodology, software. Qr and standard barcodes are compatible with the system. The sample is selected with a snowballtype design that can be done more cheaply, quickly, and easily than other methods currently in use. Methodologyprincipal findings from may 2008 to february 2009, we used respondentdriven sampling to recruit msm.
Respondentdriven sampling is a commonly used method for sampling from hardtoreach human populations connected by an underlying social network of relations. Participants were recruited through respondent driven sampling rds, which is a strategy for reaching stigmatized or hidden communities greiner et al. Interactive mode allows users to analyze one file at a time using interactive pointandclick menus. Rds analyst software was designed to help researchers visualize and analyze data collected via respondentdriven sampling designs. Home about us solutions services products contact us links faq end user agreement respondent driven sampling webbased software. Respondentdriven sampling is a widelyused network sampling technique, designed to sample from hardtoreach populations. Rdscm can be run on any machine which has a java runtime environment installed on it. Rds uses a modified snowball sampling method to recruit research participants heckathorn 1997, 2002. Heckathorn, university of connecticut a population is hidden when no sampling frame exists and public acknowledgment of membership in. 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. The existing software to analyze rds data is rds analysis tool rdsat, and it can.
Software for rds analysis stand alone software for rds coupon. Rds is both a sampling and analysis technique so it is necessary to use diagnostic tools and the appropriate estimators for analysis. How do we use the software to get the number of recruits. Deze vragenlijst software is specifiek bedoeld voor respondentdriven sampling rds onderzoek, waarbij individuen gevraagd worden om een online.
Respondentdriven sampling 243 this paper makes two main contributions. Chain referral, link tracing network sampling method based on social network theory. Respondentdriven sampling rds is a widely used method for sampling from hardtoreach human populations, especially groups most atrisk for hivaids. The rds recruitment process is designed to spread through the social network connecting members of the target population. Respondentdriven sampling rds, combines snowball sampling with a mathematical model that weights the sample to compensate for the fact that the sample was collected in a nonrandom way. Webbased respondent driven sampling rds researchsite management, development. Respondentdriven 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. Rigorous populationbased hiv prevalence and incidence studies of transwomen are needed to support development of public health policies tailored to this highly vulnerable population. This video is part of a series on how to analyze data from. Respondent driven sampling with online recruitment and. In this paper, we further develop a sampling and estimation technique called respondentdriven sampling, which allows researchers to make asymptotically unbiased estimates about these hidden populations. Respondent driven sampling where we are and where should we be going. 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. Respondent driven sampling manual rds is both a sampling and analysis technique so it is necessary to use diagnostic tools and the appropriate estimators for analysis.
Respondentdriven sampling rds is a novel sampling technique that was designed to survey hardtoreach populations such as sex workers or injection drug users. Beginning with a convenience sample, participants pass coupons to invite their contacts to join the sample. Respondentdriven sampling involves both a field sampling technique and custom estimation procedures that correct for the presence of homophily on attributes in the population. Rds has proven practical for data collection in many difficult settings and is widely used. Respondentdriven sampling columbia university mailman. Journal of urban healthbulletin of the new york academy of medicine, 83, 98112. Respondent driven sampling lisa g johnston, ma, mph, phd. Home about us solutions services products contact us links faq end user agreement. Respondentdriven sampling rds is one method that can be used to. Novel sampling design for respondentdriven sampling. Whether the data required to remove bias and measure precision can be collected in a respondentdriven sampling survey is unresolved. 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 is a novel variant of linktracing sampling for estimating the characteristics of hardtoreach groups, such as hiv prevalence in sexworkers. This study tests the feasibility, effectiveness, and efficiency of respondent driven sampling rds as a webbased sampling method.
Respondentdriven sampling rds, combines snowball sampling with a. Respondent driven sampling and population summary metrics. Rds analyst rdsa is a software package for the analysis of respondentdriven sampling rds data that implements recent advances in statistical methods. Respondentdriven 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. Respondentdriven sampling rds is widely used to sample hidden. Data are collected through peerreferral over social networks. It has functions to view, summarize and analyze data see the help pages listed below. In this video you will learn ow to import respondent driven sampling rds data into respondent driven sampling analysis tool rdsat. A new approach to the study of hidden populations douglas d. 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.
Novel sampling design for respondentdriven sampling mohammad khabbazian1, bret hanlon 2, zoe russek, and karl rohe 1department of electrical and computer engineering, university of wisconsinmadison 2department of statistics, university of wisconsinmadison abstract respondentdriven sampling rds is a method of chain referral sampling popular. Respondent driven sampling is a commonly used method for sampling from hardtoreach human populations connected by an underlying social network of relations. 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. Respondent driven sampling is a widelyused network sampling technique, designed to sample from hardtoreach populations. The recruiting process repeats iteratively, thereby forming long referral chains. We implemented the first, integrated, biobehavioural surveillance survey among men who have sex with men, female sex. In the rdsat software that is to analyze the data of respondent. 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. Respondentdriven sampling for identification of hiv and hcv. Richard g white,1 amy lansky,2 sharad goel,3 david wilson,4 wolfgang hladik,5 avi hakim,5 simon dw frost6 respondent driven sampling rds is a. Although the method is often effective at attaining large and varied samples, its reliance on convenience samples, social. Respondentdriven sampling rds is a sampling technique typically employed for hardtoreach populations for example, homeless people, people with aids, immigrants. 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. May 25, 2012 for submitting all required data to cdc in a timely manner through the data coordinating center dcc data portal.
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. 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. Sampling and estimation in hidden populations using respondent driven sampling matthew j. Respondent driven sampling involves both a field sampling technique and custom estimation procedures that correct for the presence of homophily on attributes in the population. Despite its use by leading health organizations, the performance of this method in. However, practices leading to successful recruitment among diverse populations in lowresource settings are seldom reported.
Respondentdriven sampling can be used as a sampling method to recruit research participants from a hardtoreach population. Although the method is often effective at attaining large and varied samples, its reliance on convenience samples, social network. Respondentdriven sampling produced a generally representative sample of this wellconnected nonhidden population. Briefly, initial seed respondents recruit additional respondents from their network of friends. Modelbased respondentdriven sampling analysis for hiv. Respondent driven sampling rds is a network sampling technique typically employed for hardtoreach populations e. Respondent driven sampling is a novel variant of linktracing sampling for estimating the characteristics of hardtoreach groups, such as hiv prevalence in sexworkers. These can be found in the open source software package rds analyst at the hidden populations methods research group hpmrg. Point estimates, variance, degree measures, and outofequilibrium data. Respondentdriven sampling rds is used in a variety of settings to study hardtoreach populations at risk for hiv and sexually transmitted infections. Rds is a type of snowball sampling used for analyzing characteristics of hidden or hardtoreach populations.
Implementation of webbased respondent driven sampling among. Curriculum guidelines for undergraduate programs in data science. Johnston lg, whitehead s, simiclawson m, kendall c. Bryant research systems has created a web based respondent driven sampling research management system to assist in the collection of data of a respondent driven sampling research site or multiple concurrent study sites. Improving the way that variance and sample size are calculated is an area of active research in rds. Rds analyst has an easytouse graphical user interface to the powerful and sophisticated capabilities of the computer package r. However, current respondentdrivensampling inference methods failed to reduce bias when it occurred. In this paper, we further develop a sampling and estimation technique called respondent driven sampling, which allows researchers to make asymptotically unbiased estimates about these hidden populations. Rdsat is used for analyzing the data sampled through teh technique of respondent driven sampling. Probability based estimation theory for respondent driven sampling. One of the main uses of rds sampling and of this software is to estimate the prevalence of some characteristic in the population, such as an infection rate. In 20, i co founded the hardtoreach population methods research group to improve statistical methodologies to estimate prevalence and population sizes of hard to reach populations using respondent driven sampling rds. How to implement respondentdriven sampling in practice.
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