Update on respondent-driven sampling: Theory and practical considerations for studies of persons who inject drugs

Léon, Lucie; Jarlais, Don Des; Jauffret‐Roustide, Marie; Strat, Yann Le

doi:10.1177/2059799116672878

Cited by 14 publications

(14 citation statements)

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“…Od poloviny devadesátých let byla metoda použita ve stovkách studií po celém světě [např. Goel, Salganik 2010;Léon et al 2016]. Často bývá používána v zemích s nízkými příjmy z důvodu relativně nízké ceny výzkumu v podmínkách těchto zemí [ibid.].…”

Section: Metody Zaměřené Na Osobyunclassified

“…Tvrzení, že RDS umožňuje vytvářet nezkreslený odhad skrytých a těžko dostupných populací učinilo tuto metodu v posledních dvaceti letech velice atraktivní, jak ukazují případy stovek studií, které ji využily [např. Goel, Salganik 2010;Léon et al 2016]. Metoda se prezentuje jako postup umožňující relativně rychlou a efektivní tvorbu rozsáhlých vzorků těchto populací.…”

Section: Reflexe Použití Metody Rdsunclassified

“…Na rozdíl od ostatních obdobných metod ovšem RDS staví na důsledném monitoringu rekrutačních řetězců své postupy pro tvorbu nezkreslených odhadů. S výše uvedenými nestandardními aktivitami při rekrutaci se RDS výzkumy vyrovnávají různě, například aplikací některých antropometrických měření, která mají snížit možnost "podvádění" [Léon et al 2016].…”

Section: Reflexe Použití Metody Rdsunclassified

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Using the Respondent-Driven Sampling Method to Survey Homeless Populations: Basic Principles, Application and Practical Recommendations

Daňková¹,

Bernard²,

Vašát³

2019

Czech Sociological Review

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Respondent-driven sampling (RDS) is a survey method used to create samples of populations that are hidden and hard to reach. Even though the method has been used since the 1990s in studies internationally, it has not yet been used in Czech research. The RDS methodology tends to be presented as a statistical tool that makes it possible to produce unbiased estimates of hidden or hard-to-reach populations, and at the same as a tool with which to effectively recruit respondents from the given populations. The goal of the article is to introduce RDS methodology and its uses and to present and assess its application in a homeless survey conducted in two Czech cities -Prague (N=322) and Pilsen (N=146). We show that as long as certain preconditions are met the method proves to be fact and effective, especially with respect to the speed at which it is possible to sample the homeless population. We compare the outcome of the RDS survey with that of a survey of the homeless population in Prague (2010) and assess whether and how the outcomes of the two samples differ in certain population characteristics. Finally, we offer practical suggestions and observations on using the RDS method for sampling homeless populations. keywords: respondent-driven sampling, hidden and hard to reach populations, methodology, homelessness, Czech republic

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Section: Metody Zaměřené Na Osobyunclassified

Section: Reflexe Použití Metody Rdsunclassified

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Using the Respondent-Driven Sampling Method to Survey Homeless Populations: Basic Principles, Application and Practical Recommendations

Daňková¹,

Bernard²,

Vašát³

2019

Czech Sociological Review

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“…RDS benefits include the ability to recruit participants who are not directly accessible to the researchers. When successful, RDS may serve as a time-efficient and cost-effective sampling method (Léon, Des Jarlais, Jauffret-Roustide, & Le Strat, 2016; Robinson et al, 2006), thus allowing available study resources to be spent on participants rather than recruitment materials and labour. Furthermore, the chain-referral process allows researchers to surmise information about the social network from which participants are recruited (Paquette, Bryant, & De Wit, 2010).…”

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Respondent-Driven Sampling With Youth Who Use Drugs: A Mixed Methods Assessment

Selfridge

Card

Greer

et al. 2019

Contemporary Drug Problems

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Respondent-driven sampling (RDS) has been widely used for recruiting hard-to-sample populations, particularly men who have sex with men and people who inject drugs from large urban centers. The aim of this article was to examine the feasibility of using RDS among nonmetropolitan youth who use drugs. Between May 2017 and June 2018, RDS was used to recruit youth who use drugs, ages 16–30, in three nonmetropolitan Canadian cities. All participants completed a 1-hr interviewer-administered survey. Youth received $25 for the interview, up to five coupons to recruit peers and $5 per coupon returned. Crude and RDS-weighted descriptive statistics were produced using RDS-II weights as were homophily (the tendency for people to be similar) and network size estimates. Statistically significant differences between seeds and recruits were identified using logistic regression. A subsample of recruits participated in qualitative interviews ( n = 38). Data from these interviews were inductively analyzed to identify barriers that could be used to explain the challenges with chain-referral recruitment among this population. In total, 449 youth were recruited. Due to unproductive chains, 57.2% ( n = 257) of the sample was comprised of seeds and 322 (72%) did not have a single coupon returned. Barriers to recruiting other youth included logistical challenges, fear of police, concerns about confidentiality, stigma of substance use, and poor financial incentive. Our study shows that RDS can be used to reach younger participants but also highlights the need for formative research and flexibility in recruitment to help mitigate unsuccessful RDS among nonmetropolitan youth who use drugs.

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“…Ce succès s'explique par la simplicité de la méthode mise en place par Douglas Heckathorn, mais également par la formalisation d'outils statistiques destinés à réduire les potentiels effets des biais de sélection sur les estimations de la structure de la population étudiée, alors que la plupart des autres méthodes d'échantillonnage par dépistage de liens ne permettent pas de prétendre à ce niveau de fiabilité (Van Meter, 1990). Les récents travaux menés sur les résultats obtenus par les méthodes d'estimations forgées par D. Heckatorn et ses collaborateurs montrent que ces estimations restent néanmoins bien souvent sujet à caution du fait des divers postulats sur lesquels elles reposent (Léon et al, 2016).…”

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Échantillonner des populations rares. Une expérimentation du Respondent Driven Sampling en milieu musical

Bataille¹,

Perrenoud²,

Brändle³

2018

Sociologie

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Théories et Méthodes Échantillonner des populations rares Une expérimentation du Respondent Driven Sampling en milieu musical Sample rare populations. A Respondent Driven Sampling experimentation among musicians PIERRE BATAILLE, MARC PERRENOUD ET KAREN BRÄNDLE Résumés L'échantillonnage de populations dont il est impossible de connaître a priori les contours avec précision constitue un défit majeur en sciences sociales. Certaines solutions ont néanmoins été proposées pour tenter de produire des données fiables dans ce type de cas. Parmi les procédures d'échantillonnage alternatives, c'est indubitablement la méthode du Respondant Driven Sampling (RDS)-« échantillonnage guidé par les répondants »-, apparue à la fin des années 1990 qui a connu la plus forte audience. L'ambition de cet article sera de présenter les points forts et les faiblesses de cette procédure, à travers un retour sur expérience dans le cadre d'une recherche sur des « musicien-ne-s ordinaires » suisses romand-e-s. Il s'agira premièrement de présenter l'outillage théorique, méthodologique et statistique qui structure cette procédure d'échantillonnage. Dans un deuxième temps, on montrera comment le RDS permet de construire des données originales et de qualité par rapport à d'autres procédures plus souvent utiliséesnotamment l'enquête « en ligne »-pour des recherches sur des populations « rares ». Enfin, on reviendra sur les limites de l'échantillon recruté, du point de vue de la structuration du réseau complet des collaborations musicales sur une année de référence. Sample rare populations. A Respondent Driven Sampling experimentation among musicians Sampling populations without clear administrative boundaries is a major issue in social sciences. Some solutions have, however, been proposed in order to gather reliable data on this kind of populations. The Respondant Driven Sampling (RDS) undoubtedly figures as the most widespread of alternative sampling techniques. The main goal of this article is to discuss the strengths and the weaknesses of this procedure through our field work experience on Swiss "ordinary musicians." The theoretical, methodological and statistical tools involved in this kind of procedure will be presented first. Secondly, the article turns to discuss the originality and robustness of data gathered by the RDS method as compared with other more common procedure (like online surveys) in research on "rare" but not necessarily "hard to reach" populations. Finally, the article evaluates the limits of the sample by analysing the structuration of the whole network of musical collaborations.

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Update on respondent-driven sampling: Theory and practical considerations for studies of persons who inject drugs

Cited by 14 publications

References 58 publications

Using the Respondent-Driven Sampling Method to Survey Homeless Populations: Basic Principles, Application and Practical Recommendations

Using the Respondent-Driven Sampling Method to Survey Homeless Populations: Basic Principles, Application and Practical Recommendations

Respondent-Driven Sampling With Youth Who Use Drugs: A Mixed Methods Assessment

Échantillonner des populations rares. Une expérimentation du Respondent Driven Sampling en milieu musical

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