Comparing the effectiveness of respondent-driven sampling and quota sampling in migration research

Górny, Agata; Napierała, Joanna

doi:10.1080/13645579.2015.1077614

Cited by 25 publications

(15 citation statements)

References 23 publications

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“…To our knowledge this is the first epidemiological survey to use RDS in a non-condition related health survey and to compare the approach to the standard RBS. In contrast to other studies, we did not focus on 'hidden' populations or only on specific migrant groups (Strathdee et al 2008;Montealegre et al 2013;Frere-Smith, Luthra and Platt 2014;Górny and Napierała 2016), but aimed to reach 'hard-to-reach' groups in the general population.…”

Section: Discussionmentioning

confidence: 99%

Feasibility of using respondent-driven sampling to recruit participants in superdiverse neighbourhoods for a general health survey

Samkange‐Zeeb

Foraita

Rach

et al. 2019

Int J Public Health

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Objectives Respondent driven sampling (RDS), a modified chain-referral system, has been proposed as a strategy for reaching 'hidden' populations. We applied RDS to assess its feasibility to recruit 'hard-to-reach' populations such as migrants and the unemployed in a general health survey and compared it to register-based sampling (RBS). Methods RDS was applied parallel to standard population RBS in two superdiverse neighbourhoods in Bremen, Germany. Prevalences of sample characteristics of interest were estimated in RDS Analyst using the Successive Sampling estimator. These were then compared between the samples. Results Only 115 persons were recruited via RDS compared to 779 via RBS. The prevalence of (i) migrant background, (ii) unemployment, and (iii) poverty risk was significantly higher in the RDS than in the RBS sample. The respective estimates were (i) 51.6 % vs 32.5% (95% CI RDS 40.4-62.7), (ii) 18.1% vs 7.5 % (95% CI RDS 8.4-27.9) and (iii) 55.0% vs 30.4% (95% CI RDS 41.3-68.7). Conclusions Although recruitment was difficult and the number of participants was small, RDS proved to be a feasible method for reaching migrants and other disadvantaged persons in our study.

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Section: Discussionmentioning

confidence: 99%

Feasibility of using respondent-driven sampling to recruit participants in superdiverse neighbourhoods for a general health survey

Samkange‐Zeeb

Foraita

Rach

et al. 2019

Int J Public Health

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“…Such populations typically have dense social networks, and the structure of social relationships corresponds well with basic RDS assumptions (Tyldum and Johnston, 2014). Recently, researchers in Poland compared the effectiveness of RDS and quota sampling in migration research and found that RDS not only resulted in faster data collection, but also generated higher quality data (Górny and Napierała, 2016). …”

Section: Discussionmentioning

confidence: 99%

Respondent driven sampling in a biomonitoring study of refugees from Burma in Buffalo, New York who eat Great Lakes fish

Liu

McCann

Lewis-Michl

et al. 2018

International Journal of Hygiene and Environmental Health

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Background: Refugees from Burma who consume fish caught from local waterbodies have increased risk of exposure to environmental contaminants. We used respondent driven sampling (RDS) to sample this hard-to- reach population for the first Biomonitoring of Great Lakes Populations program. In the current study, we examined the interview data and assessed the effectiveness of RDS to sample the unique population. Methods: In 2013, we used RDS to sample 205 Burmese refugees and immigrants residing in Buffalo, New York who consumed fish caught from Great Lakes waters. RDS-adjusted population estimates of sociodemographic characteristics, residential history, fish consumption related behaviors, and awareness of fish advisories were obtained. We also examined sample homophily and equilibrium to assess how well the RDS assumptions were met in the study. Results: Our sample was diverse with respect to sex, age, years residing in Buffalo, years lived in a refugee camp, education, employment, and fish consumption behaviors, and each of these variables reached equilibrium by the end of recruitment. Burmese refugees in Buffalo consumed Great Lakes fish throughout the year; a majority of them consumed the fish more than two times per week during summer, and about one third ate local fish more than once per week in winter. An estimated 60% of Burmese refugees in Buffalo had heard about local fish advisories. Conclusions: RDS has the potential to be an effective methodology for sampling refugees and immigrants in conducting biomonitoring and environmental exposure assessment. Due to high fish consumption and limited awareness and knowledge of fish advisories, some refugee and immigrant populations are more susceptible to environmental contaminants. Increased awareness on local fish advisories is needed among these populations.

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“…This implies that migration researchers in certain circumstance are left with no choice but to employ non-probability sampling techniques, like snowball or convenience sampling, though that increases the potential risk of bias and omission of large number of migrants (Jacobsen & Landau, 2003) who could provide different perspective to the findings. Due to the absence of adequate sampling frame respondent-driven sampling (RDS) and quota sampling are two common strategies in migration research (Gorny & Napierała, 2016). But, if a research is conducted on a refugee camp run under the UNHCR, there is highly likely that a sample frame is available.…”

Section: Methods In Migration Researchmentioning

confidence: 99%

Social Research Methods: Migration in Perspective

et al. 2020

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Migration specific methodologies for research have not yet emerged in a unified manner; hence, a void in scholarship persists which has resulted in the growing dilemmas in conducting research on migrant populations. The growing attention given to the research that involves migration has not yet been passably translated into corresponding research on the methodological challenges researchers generally handle. Quantitative methods have come under criticism for not providing an in-depth description of a phenomenon. Hence many researchers employ the mixed-method approach. This allows numerical data to be supplemented by qualitative findings and contextual explanations of both researchers and researched. We argue that no way is researching in a normal condition similar to the precarious conditions migrants go through. Due to the vulnerable positions of migrants who are the main population of migration research, it demands special attention in selecting and implementing appropriate methods.

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Comparing the effectiveness of respondent-driven sampling and quota sampling in migration research

Cited by 25 publications

References 23 publications

Feasibility of using respondent-driven sampling to recruit participants in superdiverse neighbourhoods for a general health survey

Feasibility of using respondent-driven sampling to recruit participants in superdiverse neighbourhoods for a general health survey

Respondent driven sampling in a biomonitoring study of refugees from Burma in Buffalo, New York who eat Great Lakes fish

Social Research Methods: Migration in Perspective

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