Presentation by giovanna merli on day 4 of social networks and health workshop at duke university. Respondent driven sampling rds is a modified form of chainreferral sampling with a mathematical system for weighting the sample to compensate for its not having been drawn randomly. Respondentdriven sampling 243 this paper makes two main contributions. Neither degani software nor cornell university make any guarantees that this. Statistical sampling methods software free download. Either populations that are hidden because no one thought to enumerate or list them, and therefore, we dont have a traditional sampling frame. 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. Lessons from the field palgrave pivot kindle edition by tyldum, g. Best sampling software for mac i need a good quality program to cut samples up in with the ease of sound forge. It has functions to view, summarize and analyze data see the help pages listed below.
It optionally uses attributes of the rds data set to determine the type of estimator and type of uncertainty estimate to. Using data collected from 746 young msm in 20142016 in chicago, il, and. Winxp, windows vista, mac os x, windows 7, windows 7 x64. Implementation and analysis of respondent driven sampling.
Although the method is often effective at attaining large and varied samples, its reliance on convenience samples, social. However, it is often difficult to investigate the factors that drive transmission in these groups using representative samples because there. Respondent driven sampling rds is a network sampling technique typically employed for hardtoreach populations e. Introduction to hiv aids and sexually transmitted infection. Webbased respondent driven sampling rds researchsite management. Lessons learned from respondentdriven sampling recruitment. Respondentdriven sampling rds employs a variant of a linktracing network sampling strategy to collect data from hardtoreach populations. Applying respondent driven sampling to migrant populations. Respondency definition of respondency by the free dictionary. Driven sampling methodology, we have developed a software package.
We used a webrds software 24, 26, 30 for peer recruitment and data. Rds analyst install hardtoreach population methods. The findings and conclusions of this presentation are those of the. Snowball sampling and respondentdriven sampling also allows researchers to make estimates about the social network connecting the hidden population. Beginning with a convenience sample, participants pass coupons to invite their contacts to join the sample. Respondentdriven sampling rds is an increasingly used peer chainrecruitment method to sample hardtoreach populations for whom there are no reliable sampling frames. We conducted a sensitivity analysis on estimates produced using data from an rds study of gay, bisexual and other men. Point estimates, variance, degree measures, and outofequilibrium data.
Respondentdriven sampling is a form of snowball sampling which allows researchers to make estimates about hidden population such as the three groups at highest risk for hivaids. Effectiveness of respondentdriven sampling for recruiting. Rds analyst install hardtoreach population methods research. 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 novel variant of link tracing sampling that has primarily been used to estimate the characteristics of hardtoreach groups. This function computes an interval estimate for one or more categorical variables. Editorial respondent driven sampling where we are and where. It is effectively used to avoid bias in snowball sampling. Hardtoreach populations are characterized by the difficulty in sampling from them using standard probability methods.
Editorial respondent driven sampling where we are and. What are the hardwaresoftware requirements to operate the bryant system. I need a good quality program to cut samples up in with the ease of sound forge. Respondentdriven sampling rds has become increasingly popular for sampling hidden populations, including injecting drug users idu. The use of snowball sampling in research on hidden populations created a widespread perception of snowball sampling in particular and chainreferral methods in general as convenience sampling methods. Respondentdriven sampling columbia university mailman. Respondent driven sampling where we are and where should we be going. Recruitment used a social network respondent driven sampling design in which each seed was asked to recruit three friends, and those friends were asked to recruit three friends, for a total of. Interactive mode allows users to analyze one file at a time using interactive pointandclick menus. These can be found in the open source software package rds analyst at the hidden populations methods research group hpmrg.
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. Respondentdriven sampling rds has been widely used for recruiting hardtosample populations, particularly men who have sex with men and people who inject drugs from large urban centers. Introduction to respondentdriven sampling world health organization. Respondent driven sampling rds has become increasingly popular for sampling hidden populations, including injecting drug users idu. Rds analysis tool lets you perform respondent driven sampling analysis. However, rds data are unique and require specialized analysis techniques, many of which remain underdeveloped.
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. A number of sampling methods are available to recruit drug users and collect hiv risk behavior data. A recent development in sampling methodology, respondentdriven sampling rds, was designed to overcome some of these limitations by providing breadth of coverage with statistical validity. This project seeks to explore new ways to extend the statistical techniques of respondent driven sampling rds. As a variant of a chainreferral sampling, it does not require the development of a sampling frame. Research has shown that respondentdriven sampling rds is a viable method to recruit. We introduce a new venueinformed network degree measure, which we applied to respondent driven sampling rds estimators. Greatly improved the softwares respondency when the library became huge.
It is often used in situations where the target population is rare andor stigmatized in the larger population, so that it is prohibitively expensive to contact them through the available frames. Description usage arguments value references examples. This installer is over 110mb in size and will take time to download. Rds is a type of snowball sampling used for analyzing characteristics of hidden or hardtoreach populations. Rds analyst rdsa is a software package for the analysis of respondentdriven sampling rds data that implements recent advances in statistical methods. Formative research to optimize respondent driven sampling surveys among hardtoreach populations in hiv behavioral and biological surveillance. The aim of this article was to examine the feasibility of using rds among nonmetropolitan youth who use drugs.
Respondent driven sampling is a commonly used method for sampling from hardtoreach human populations connected by an underlying social network of relations. 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 is a linktracing procedure for surveying hidden or hardtoreach populations in which subjects recruit other subjects via their social network. Respondentdriven sampling rds is a linktracing procedure for surveying hidden or hardtoreach populations in which subjects recruit other subjects via their social network.
Use features like bookmarks, note taking and highlighting while reading applying respondent driven sampling to migrant populations. Rds analyst is essentially a set of tools to interpret data that has been collected in this way. We implemented the first, integrated, biobehavioural surveillance survey among men who have sex with men, female. 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 rds, combines snowball sampling with a. Similar to snowball sampling, initial seed respondents recruit additional respondents from their network of friends. Snowball versus respondentdriven sampling request pdf. Software samplers here you will find a collection of softwarebased samplers which do the same thing as traditional physical samplers, except they run on your computer and often have more versatility. An introduction to respondentdriven sampling institution. Respondentdriven sampling rds is n approach to sampling design and inference in hardtoreach human populations. Respondentdriven sampling with youth who use drugs. Provides functionality for carrying out estimation with data collected using respondent driven sampling. Rds analysis tool download this tool lets you perform. Rdsa is a software package for the analysis of respondentdriven sampling. It use in the crane survey feb 09 it use in a respondent driven sampling survey, kampala, uganda wolfgang hladik.
Rdscm can be run on any machine which has a java runtime environment installed on it. Aug 15, 2016 presentation by giovanna merli on day 4 of social networks and health workshop at duke university. Rdsa is a software package for the analysis of respondentdriven sampling rds data. Novel sampling design for respondent driven 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 respondent driven sampling rds is a method of chain referral sampling popular. This includes heckathorns rdsi and rdsii estimators as well as giles sequential sampling estimator. To use rdsa, you need java installed on your apple macintosh. Methods for inference from respondentdriven sampling data. Snowball sampling uses a small pool of initial informants to nominate, through their social networks, other participants who meet the eligibility criteria and could potentially. Respondentdriven sampling rds allows researchers to collect primary data from traditionally hardtoreach populations. Acquired immunodeficiency syndrome epidemiology middle east africa, northern 2.
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. 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. Rds analyst has an easytouse graphical user interface to the powerful and sophisticated capabilities of the computer package r. Home about us solutions services products contact us links faq end user agreement contact us.
Respondentdriven sampling the comprehensive r archive. Workshop on respondent driven sampling analyst software by the hardtoreach population methods research group we are. 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. The package is part of the rds analyst suite of packages for the analysis of respondentdriven. Respondentdriven sampling rds is a type of sampling increasingly used to sample from hidden populations, such as men who have sex with men. 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 a nonrandom way. Qr and standard barcodes are compatible with the system. Workshop on respondentdriven sampling analyst software. The aim of this article was to examine the feasibility of. Respondentdriven sampling rds is used in a variety of settings to study hardtoreach populations at risk for hiv and sexually transmitted infections. 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. 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. Respondentdriven sampling rds is a type of sampling increasingly used to sample from hidden populations, such as men who have sex with men msm,injection drug users, the homeless, and immigrants. Rds analyst software was designed to help researchers visualize and analyze data collected via respondentdriven sampling designs.
Respondent driven sampling 243 this paper makes two main contributions. 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. Rds analysis tool lets you perform respondentdriven sampling analysis. There is signi cant research interest in detecting clustering or dependence of epidemiological traits in. So overall, respondentdriven sampling has emerged as an important technique in recent decades for sampling hidden populations. However, practices leading to successful recruitment among diverse populations in lowresource settings are seldom reported. Provides functionality for carrying out estimation with data collected using respondentdriven sampling. A r e s o u r c e g u i d e f o r s t e e r i n g c o m m i t t e e s 1 table of contents. Rds analyst rdsa is a software package for the analysis of respondent driven sampling rds data that implements recent advances in statistical methods. A performance assessment of webbased respondent driven. Webbased respondent driven sampling rds researchsite management, development and monitoring. 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. 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. We implemented the first, integrated, biobehavioural surveillance survey among men who have sex with men, female sex.
To put it simply, software samplers use samples to make real sounding instruments. Webbased respondent driven sampling webrds recruits individuals online. I will use sound forge again once i install the new hard drive and install parallels to add windows to the mac. Respondent driven sampling rds is the method used for sampling from hardtoreach human populations. Software samplers here you will find a collection of software based samplers which do the same thing as traditional physical samplers, except they run on your computer and often have more versatility. This requires the study to conduct surveys among a population of hardtoreach and hardtorecruit research subjects, which is when respondentdriven sampling is most useful heckathorn 1997. The package is part of the rds analyst suite of packages for the analysis of respondent driven sampling data. Respondent driven sampling is a form of snowball sampling which allows researchers to make estimates about hidden population such as the three groups at highest risk for hivaids. Respondent driven sampling rds employs a variant of a linktracing network sampling strategy to collect data from hardtoreach populations. Rds is both a sampling and analysis technique so it is necessary to use diagnostic tools and the appropriate estimators for analysis.
Introduction to hivaids and sexually transmitted infection surveillance. Respondentdriven sampling is a commonly used method for sampling from hardtoreach human populations connected by an underlying social network of relations. Workshop on respondentdriven sampling analyst software by the hardtoreach population methods research group we are. Chainreferral sampling that starts with a limited number of seeds who refer their peers. We conducted a sensitivity analysis on estimates produced using data from an rds study of gay, bisexual and other. Respondent driven 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. Hidden or hardtoreach population subgroups are often key to the maintenance of infectious diseases in human populations. Novel sampling design for respondentdriven sampling.
Recruitment used a social network respondentdriven sampling design in which each seed was asked to recruit three friends, and those friends were asked to recruit three friends, for a total of. Respondentdriven sampling datasets uk data service. We introduce a new venueinformed network degree measure, which we applied to respondentdriven sampling rds estimators. 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. Johnston lg, whitehead s, simiclawson m, kendall c. Pdf respondent driven sampling where we are and where. May 25, 2012 for submitting all required data to cdc in a timely manner through the data coordinating center dcc data portal. Analyses were conducted using spss version 24 for mac ibm spss.
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