IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v12y2020i21p9102-d438601.html
   My bibliography  Save this article

Respondent-Driven Sampling for Surveying Ethnic Minorities in Ecuador

Author

Listed:
  • Héctor Mullo

    (Facultad de Ciencias, Escuela Superior Politécnica de Chimborazo (ESPOCH), Riobamba 060155, Ecuador)

  • Ismael Sánchez-Borrego

    (Department of Statistics and Operations Research, University of Granada, 18071 Granada, Spain)

  • Sara Pasadas-del-Amo

    (Instituto de Estudios Sociales Avanzados, Spanish National Research Council (IESA-CSIC), 14004 Córdoba, Spain)

Abstract

In this work, we consider the problem of surveying a population of young Indigenous, Montubios and Afro-Ecuadorians to study their living conditions and socioeconomic issues. We conducted a Respondent-driven sampling (RDS) survey in the canton of Riobamba, Ecuador. RDS is a network-based sampling method intended to survey hidden or hard-to-reach populations. We have obtained RDS estimates and confidence intervals of these characteristics. We have illustrated and discussed some of the assumptions of the method using some available diagnostic tools. Our results suggest that RDS is an effective methodology for studying social and economic issues of this ethnic minority in Ecuador. This technique is relatively easy to implement and has the potential to be applied to survey other hidden populations in other settings.

Suggested Citation

  • Héctor Mullo & Ismael Sánchez-Borrego & Sara Pasadas-del-Amo, 2020. "Respondent-Driven Sampling for Surveying Ethnic Minorities in Ecuador," Sustainability, MDPI, vol. 12(21), pages 1-17, November.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:21:p:9102-:d:438601
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/12/21/9102/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/12/21/9102/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Chica-Olmo, Jorge & Cano-Guervos, Rafael, 2020. "Does my house have a premium or discount in relation to my neighbors? A regression-kriging approach," Socio-Economic Planning Sciences, Elsevier, vol. 72(C).
    2. Hipp, Lena & Kohler, Ulrich & Leumann, Sandra, 2019. "How to Implement Respondent-Driven Sampling in Practice: Insights from Surveying 24-Hour Migrant Home Care Workers," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, pages 1-13.
    3. Johanna Jonsson & Mart Stein & Gun Johansson & Theo Bodin & Susanne Strömdahl, 2019. "A performance assessment of web-based respondent driven sampling among workers with precarious employment in Sweden," PLOS ONE, Public Library of Science, vol. 14(1), pages 1-15, January.
    4. Krista J. Gile & Lisa G. Johnston & Matthew J. Salganik, 2015. "Diagnostics for respondent-driven sampling," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 178(1), pages 241-269, January.
    5. Samantha R. Lattof, 2018. "Collecting data from migrants in Ghana: Lessons learned using respondent-driven sampling," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 38(36), pages 1017-1058.
    6. Lattof, Samantha R., 2018. "Collecting data from migrants in Ghana: lessons learned using respondent-driven sampling," LSE Research Online Documents on Economics 87451, London School of Economics and Political Science, LSE Library.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Lattof, Samantha R. & Coast, Ernestina & Leone, Tiziana, 2018. "Priorities and challenges accessing health care among female migrants," LSE Research Online Documents on Economics 90288, London School of Economics and Political Science, LSE Library.
    2. Larissa Jennings Mayo-Wilson & Muthoni Mathai & Grace Yi & Margaret O Mak’anyengo & Melissa Davoust & Massah L Massaquoi & Stefan Baral & Fred M Ssewamala & Nancy E Glass & NAHEDO Study Group, 2020. "Lessons learned from using respondent-driven sampling (RDS) to assess sexual risk behaviors among Kenyan young adults living in urban slum settlements: A process evaluation," PLOS ONE, Public Library of Science, vol. 15(4), pages 1-22, April.
    3. Fatemi, Samira & Salehi, Mostafa & Veisi, Hadi & Jalili, Mahdi, 2018. "A fuzzy logic based estimator for respondent driven sampling of complex networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 510(C), pages 42-51.
    4. Isaac Addai, 2020. "Examining the Benefits of International Migration Ventures: The Statistics from Ghana," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 4(7), pages 159-163, July.
    5. Carmen Koschollek & Katja Kajikhina & Susanne Bartig & Marie-Luise Zeisler & Patrick Schmich & Antje Gößwald & Alexander Rommel & Thomas Ziese & Claudia Hövener, 2022. "Results and Strategies for a Diversity-Oriented Public Health Monitoring in Germany," IJERPH, MDPI, vol. 19(2), pages 1-18, January.
    6. Lucinda Platt & Renee Luthra & Tom Frere-Smith, 2015. "Adapting chain referral methods to sample new migrants," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 33(24), pages 665-700.
    7. Lee Sunghee & Ong Ai Rene & Elliott Michael, 2020. "Exploring Mechanisms of Recruitment and Recruitment Cooperation in Respondent Driven Sampling," Journal of Official Statistics, Sciendo, vol. 36(2), pages 339-360, June.
    8. Ismael Sánchez-Borrego & María del Mar Rueda & Héctor Mullo, 2020. "Estimation of Non-Linear Parameters with Data Collected Using Respondent-Driven Sampling," Mathematics, MDPI, vol. 8(8), pages 1-10, August.
    9. Luis E. C. Rocha & Anna E. Thorson & Renaud Lambiotte & Fredrik Liljeros, 2017. "Respondent-driven sampling bias induced by community structure and response rates in social networks," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 180(1), pages 99-118, January.
    10. Aronow, Peter M. & Crawford, Forrest W., 2015. "Nonparametric identification for respondent-driven sampling," Statistics & Probability Letters, Elsevier, vol. 106(C), pages 100-102.
    11. Johanna Jonsson & Mart Stein & Gun Johansson & Theo Bodin & Susanne Strömdahl, 2019. "A performance assessment of web-based respondent driven sampling among workers with precarious employment in Sweden," PLOS ONE, Public Library of Science, vol. 14(1), pages 1-15, January.
    12. Eleni D. Rompoti & Alexis D. Ioannides, 2023. "“Pseudo-Contracted” Workers as a Means of Bypassing Labour Law in Greece," Administrative Sciences, MDPI, vol. 13(11), pages 1-27, November.
    13. Natividad Guadalajara & Miguel Ángel López & Adina Iftimi & Antonio Usai, 2021. "Influence of the Cadastral Value of the Urban Land and Neighborhood Characteristics on the Mean House Mortgage Appraisal," Land, MDPI, vol. 10(3), pages 1-17, March.
    14. Lee Sunghee & Suzer-Gurtekin Tuba & Wagner James & Valliant Richard, 2017. "Total Survey Error and Respondent Driven Sampling: Focus on Nonresponse and Measurement Errors in the Recruitment Process and the Network Size Reports and Implications for Inferences," Journal of Official Statistics, Sciendo, vol. 33(2), pages 335-366, June.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:12:y:2020:i:21:p:9102-:d:438601. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.