Respondent‐driven sampling as Markov chain Monte Carlo

Goel, Sharad; Salganik, Matthew J.

doi:10.1002/sim.3613

Cited by 162 publications

(191 citation statements)

References 63 publications

(68 reference statements)

Supporting

Mentioning

178

Contrasting

Unclassified

Order By: Relevance

“…Rather than attempting to model the complex social dynamics that play out during the RDS recruitment process, in our simulations we assume the same, idealized sampling conditions considered in the theoretical RDS literature (4,8,10,30). Specifically, (i) initial sample members are chosen independently and proportional to network degree; (ii) relationships within the population are symmetric (i.e., if A is a contact of B, then B is also a contact of A); (iii) participants recruit uniformly at random from their contacts; (iv) those who are recruited always participate in the study; (v) individuals can be recruited into the sample more than once; (vi) the number of recruits per participant does not depend on individual traits; and (vii) respondents accurately report their social network degree.…”

Section: Methodsmentioning

confidence: 99%

“…† Typically, f is 0-1, for example, indicating infectivity of a specific disease, in which caseμ f estimates prevalence of the trait in the target population (8,10). The accuracy of RDS estimates is affected by the structure of the underlying social network, the distribution of traits within the network, and the recruitment dynamics.…”

mentioning

confidence: 99%

“…These studies, however, likely overestimated the accuracy of RDS by neglecting to design synthetic networks that adequately mimic the community structure of real social networks (10). Recently, Gile and Handcock (13) have evaluated the bias of RDS estimates on more realistic synthetic networks.…”

mentioning

confidence: 99%

See 2 more Smart Citations

Assessing respondent-driven sampling

Goel

Salganik

2010

Proc. Natl. Acad. Sci. U.S.A.

Self Cite

330

351

View full text Add to dashboard Cite

Respondent-driven sampling (RDS) is a network-based technique for estimating traits in hard-to-reach populations, for example, the prevalence of HIV among drug injectors. In recent years RDS has been used in more than 120 studies in more than 20 countries and by leading public health organizations, including the Centers for Disease Control and Prevention in the United States. Despite the widespread use and growing popularity of RDS, there has been little empirical validation of the methodology. Here we investigate the performance of RDS by simulating sampling from 85 known, network populations. Across a variety of traits we find that RDS is substantially less accurate than generally acknowledged and that reported RDS confidence intervals are misleadingly narrow. Moreover, because we model a best-case scenario in which the theoretical RDS sampling assumptions hold exactly, it is unlikely that RDS performs any better in practice than in our simulations. Notably, the poor performance of RDS is driven not by the bias but by the high variance of estimates, a possibility that had been largely overlooked in the RDS literature. Given the consistency of our results across networks and our generous sampling conditions, we conclude that RDS as currently practiced may not be suitable for key aspects of public health surveillance where it is now extensively applied.disease surveillance | snowball sampling | social networks T he development and evaluation of public health policies often require detailed information about so-called hard-to-reach or hidden populations. For example, HIV researchers are especially interested in monitoring risk behavior and disease prevalence among injection drug users, men who have sex with men, and commercial sex workers-the groups at highest risk for HIV in most countries. Unfortunately, however, these high-risk groups are not easily studied with standard sampling methods, including institutional sampling, targeted sampling, and time-location sampling (1).Respondent-driven sampling (RDS) (2-4) facilitates examination of such hidden populations via a chain-referral procedure in which participants recruit one another, akin to snowball sampling. RDS is now widely used in the public health community and has been recently applied in more than 120 studies in more than 20 countries, involving a total of more than 32,000 participants (5). In particular, in helping to track the HIV epidemic, RDS is used by the Centers for Disease Control and Prevention (CDC) (6, 7) and by the United States President's Emergency Plan for AIDS Relief.RDS is a method both for data collection and for statistical inference. To generate an RDS sample, one begins by selecting a small number of initial participants ("seeds") from the target population who are asked-and typically provided financial incentive-to recruit their contacts in the population (2). The sampling proceeds with current sample members recruiting the next wave of sample members, continuing until the desired sample size is reached. Participants are usually all...

show abstract

Section: Methodsmentioning

confidence: 99%

mentioning

confidence: 99%

See 1 more Smart Citation

Assessing respondent-driven sampling

Goel

Salganik

2010

Proc. Natl. Acad. Sci. U.S.A.

Self Cite

330

351

View full text Add to dashboard Cite

show abstract

“…Uma 2ª onda foi obtida através da divulgação do Conselho Regional de Psicologia e em duas redes sociais de profissionais das quais as pesquisadoras fazem parte. Ainda, uma 3ª onda foi obtida por meio do mapeamento de guias telefônicos virtuais (Goel & Salganik, 2009).…”

Section: Procedimentosunclassified

Impacto da regulação de emoções no trabalho sobre as dimensões de Burnout em psicólogos: O papel moderador da autoeficácia

Rodriguez¹,

Carlotto²,

Câmara³

2017

Análise Psicológica

View full text Add to dashboard Cite

O objetivo do presente estudo foi avaliar se a regulação emocional prediz as dimensões de burnout e se a autoeficácia funciona como variável mediadora na relação entre a regulação de emoções e as dimensões de Burnout em uma amostra de 518 psicólogos. Foram utilizados como instrumentos de pesquisa o Questionário para Avaliação da Síndrome de Burnout, a Escala Geral de Autoeficácia e a Subescala de regulação de emoções da Escala de Emoções no Trabalho. Os resultados, obtidos por meio da análise de regressão linear hierárquica, confirmaram as hipóteses de que a regulação emocional prediz as dimensões de Burnout e a de que a autoeficácia funciona como mediadora entre a regulação de emoções e as dimensões de Burnout. O resultado aponta para a importância de intervenções que contemplem o desenvolvimento da autoeficácia em psicólogos como medida de prevenção ou reabilitação da Síndrome de Burnout.

show abstract

“…A maioria é constituída de homens (54,1%), com união estável (71,3%), que têm filhos (53,5%) e escolaridade em nível de graduação e pós-graduação (76,8%). A idade apresentou uma variação de 20 a 64 anos (M=38,5;DP=9,4 (Goel & Salganik, 2009 …”

Section: Método Participantesunclassified

The mediating role between satisfaction with life and workaholism

Pinheiro

Carlotto

2016

View full text Add to dashboard Cite

ResumoO objetivo do presente estudo é avaliar se a satisfação com a vida funciona como variável mediadora na relação entre a adição ao trabalho em uma amostra de 310 gestores. Foram utilizados como instrumentos de pesquisa o Dutch Work Addiction Scale (DUWAS), para avaliação da adição ao trabalho; a escala de satisfação com a vida e o questionário de saúde geral (QSG-12). Os resultados, obtidos por meio da análise de regressão linear hierárquica, confirmaram a hipótese de que a satisfação com a vida funciona como variável mediadora entre as dimensões da adição ao trabalho e o bem-estar psicológico. O resultado aponta para a importância de intervenções que contemplem o equilíbrio entre atividades laborais e extralaborais entre os gestores como medida de prevenção e de reabilitação da saúde psicológica.

show abstract

Respondent‐driven sampling as Markov chain Monte Carlo

Cited by 162 publications

References 63 publications

Assessing respondent-driven sampling

Assessing respondent-driven sampling

Impacto da regulação de emoções no trabalho sobre as dimensões de Burnout em psicólogos: O papel moderador da autoeficácia

The mediating role between satisfaction with life and workaholism

Contact Info

Product

Resources

About