Investigar la incorporación de hijos  de migrantes a través de Respondent  Driven Sampling (RDS)

Pablo Sebastián Gómez; Maximiliano Iglesias

doi:10.24201/es.2021v39n117.2033

Investigar la incorporación de hijos de migrantes a través de Respondent Driven Sampling (RDS)

Estudios Sociológicos de El Colegio de México ◽

10.24201/es.2021v39n117.2033 ◽

2021 ◽

Vol 39 (117) ◽

pp. 773-792

Author(s):

Pablo Sebastián Gómez ◽

Maximiliano Iglesias

Keyword(s):

Respondent Driven Sampling

En el campo de los estudios migratorios uno de los temas de investigación de larga tradición está constituido por las “segundas generaciones” o “hijos de migrantes”. En este artículo presentamos los problemas metodológicos derivados de la generación de datos primarios sobre el tópico: en primer lugar, la población es de tamaño pequeño y las encuestas tradicionales no capturan adecuadamente la información. En segundo lugar, la falta de un marco muestral adecuado, dado que no contamos con una lista exhaustiva de los miembros. Aquí desarrollamos una posible alternativa para solucionar estos problemas: el muestreo Respondent Driven Sampling (rds) para el estudio de los procesos de incorporación de hijos de migrantes en general e hijos de migrantes sur-sur en particular.

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Methods, Developments, and Technological Innovations for Population Surveys

Social Science Computer Review ◽

10.1177/0894439321994218 ◽

2021 ◽

pp. 089443932199421

Author(s):

Venera Tomaselli ◽

Sebastiano Battiato ◽

Alessandro Ortis ◽

Giulio G. Cantone ◽

Salvatore Urso ◽

...

Keyword(s):

Population Studies ◽

Data Gathering ◽

Computational Social Science ◽

Technological Innovations ◽

Computer Assisted ◽

Respondent Driven Sampling ◽

Population Surveys ◽

Panel Management ◽

Dominant Paradigm ◽

Social Science Approach

This article reviews contemporary issues in survey research, connecting established methods to innovative tools and technologies like real-time sensors and computer vision. This link takes into account the idea about the “organical” nature of Big Data, which represents a challenge toward a modernization of population studies in the light of technological innovations. The adopted dominant paradigm of data gathering is web survey (computer-assisted web interviewing), which is explored through the formalization of chain-referral methods as respondent-driven sampling. The general orientation is toward a computational social science approach. Weaknesses of such methodology is studied and solutions are provided with insights from empirical research on panel management. Contribution from gamification techniques is critically discussed.

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Hard-to-Survey Populations and Respondent-Driven Sampling: Expanding the Political Science Toolbox

Perspectives on Politics ◽

10.1017/s1537592719003864 ◽

2019 ◽

Vol 18 (2) ◽

pp. 509-526

Author(s):

Rana B. Khoury

Keyword(s):

Political Science ◽

The Political ◽

Science Methods ◽

Respondent Driven Sampling ◽

Right Wing ◽

Undocumented Migrants ◽

Multimethod Research ◽

Political Preferences ◽

Population Inference ◽

Shed Light

Survey research can generate knowledge that is central to the study of collective action, public opinion, and political participation. Unfortunately, many populations—from undocumented migrants to right-wing activists and oligarchs—are hidden, lack sampling frames, or are otherwise hard to survey. An approach to hard-to-survey populations commonly taken by researchers in other disciplines is largely missing from the toolbox of political science methods: respondent-driven sampling (RDS). By leveraging relations of trust, RDS accesses hard-to-survey populations; it also promotes representativeness, systematizes data collection, and, notably, supports population inference. In approximating probability sampling, RDS makes strong assumptions. Yet if strengthened by an integrative multimethod research design, it can shed light on otherwise concealed—and critical—political preferences and behaviors among many populations of interest. Through describing one of the first applications of RDS in political science, this article provides empirically grounded guidance via a study of activist refugees from Syria. Refugees are prototypical hard-to-survey populations, and mobilized ones are even more so; yet the study demonstrates that RDS can provide a systematic and representative account of a vulnerable population engaged in major political phenomena.

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Healthcare seeking and hospital admissions by people who inject drugs in response to symptoms of injection site infections or injuries in three urban areas of England

Epidemiology and Infection ◽

10.1017/s0950268814000284 ◽

2014 ◽

Vol 143 (1) ◽

pp. 120-131 ◽

Cited By ~ 16

Author(s):

V. D. HOPE ◽

F. NCUBE ◽

J. V. PARRY ◽

M. HICKMAN

Keyword(s):

Hospital Admission ◽

Injection Site ◽

Urban Areas ◽

People Who Inject Drugs ◽

Hospital Admissions ◽

Medical Advice ◽

Respondent Driven Sampling ◽

Open Wound ◽

Factors Associated ◽

Healthcare Burden

SUMMARYPeople who inject drugs (PWID) are vulnerable to infections and injuries at injection sites. The factors associated with reporting symptoms of these, seeking related advice, and hospital admission are examined. PWID were recruited in Birmingham, Bristol and Leeds using respondent-driven sampling (N = 855). During the preceding year, 48% reported having redness, swelling and tenderness (RST), 19% an abscess, and 10% an open wound at an injection site. Overall, 54% reported ⩾1 symptoms, with 45% of these seeking medical advice (main sources emergency departments and General Practitioners). Advice was often sought ⩾5 days after the symptom first appeared (44% of those seeking advice about an abscess, 45% about an open wound, and 35% for RST); the majority received antibiotics. Overall, 9·5% reported hospital admission during the preceding year. Ever being diagnosed with septicaemia and endocarditis were reported by 8·8% and 2·9%, respectively. Interventions are needed to reduce morbidity, healthcare burden and delays in accessing treatment.

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Unexpectedly high HIV prevalence among female sex workers in Bangkok, Thailand in a respondent-driven sampling survey

International Journal of STD & AIDS ◽

10.1177/0956462412472300 ◽

2013 ◽

Vol 24 (1) ◽

pp. 34-38 ◽

Cited By ~ 20

Author(s):

C Manopaiboon ◽

D Prybylski ◽

W Subhachaturas ◽

S Tanpradech ◽

O Suksripanich ◽

...

Keyword(s):

Sex Workers ◽

Female Sex Workers ◽

Hiv Prevalence ◽

Respondent Driven Sampling ◽

Female Sex ◽

Sampling Survey

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Simultaneous Recruitment of Drug Users and Men Who Have Sex with Men in the United States and Russia Using Respondent-Driven Sampling: Sampling Methods and Implications

Journal of Urban Health ◽

10.1007/s11524-009-9365-4 ◽

2009 ◽

Vol 86 (S1) ◽

pp. 5-31 ◽

Cited By ~ 85

Author(s):

Martin Y. Iguchi ◽

Allison J. Ober ◽

Sandra H. Berry ◽

Terry Fain ◽

Douglas D. Heckathorn ◽

...

Keyword(s):

United States ◽

Drug Users ◽

Sampling Methods ◽

The United States ◽

Respondent Driven Sampling ◽

Sex With Men

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B-Graph Sampling to Estimate the Size of a Hidden Population

Journal of Official Statistics ◽

10.1515/jos-2015-0042 ◽

2015 ◽

Vol 31 (4) ◽

pp. 723-736 ◽

Cited By ~ 1

Author(s):

Marinus Spreen ◽

Stefan Bogaerts

Keyword(s):

Social Network ◽

Sampling Design ◽

Respondent Driven Sampling ◽

Sampling Frame ◽

Hidden Populations ◽

Hidden Population ◽

Graph Sampling ◽

Graph Design ◽

Applied Design ◽

Incomplete Sampling

Abstract Link-tracing designs are often used to estimate the size of hidden populations by utilizing the relational links between their members. A major problem in studies of hidden populations is the lack of a convenient sampling frame. The most frequently applied design in studies of hidden populations is respondent-driven sampling in which no sampling frame is used. However, in some studies multiple but incomplete sampling frames are available. In this article, we introduce the B-graph design that can be used in such situations. In this design, all available incomplete sampling frames are joined and turned into one sampling frame, from which a random sample is drawn and selected respondents are asked to mention their contacts. By considering the population as a bipartite graph of a two-mode network (those from the sampling frame and those who are not on the frame), the number of respondents who are directly linked to the sampling frame members can be estimated using Chao’s and Zelterman’s estimators for sparse data. The B-graph sampling design is illustrated using the data of a social network study from Utrecht, the Netherlands.

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