IDEAS home Printed from https://ideas.repec.org/a/plo/pone00/0210183.html
   My bibliography  Save this article

A performance assessment of web-based respondent driven sampling among workers with precarious employment in Sweden

Author

Listed:
  • Johanna Jonsson
  • Mart Stein
  • Gun Johansson
  • Theo Bodin
  • Susanne Strömdahl

Abstract

Objectives: Precarious employment (PE) is a social determinant of poor health of workers. However, this population usually lack a sampling frame, making it challenging to identify the characteristics of this group. Web-based respondent driven sampling (webRDS) recruits individuals online through the social network and can provide population estimates. This study aims to assess the performance of webRDS in a population of workers with PE. Method: WebRDS was used for recruitment and data collection in the PRecarious EMployment In Stockholm (PREMIS) study. Cross-sectional questionnaire data was collected between November 2016 and May 2017. Eligible participants were living and/or working in Stockholm County, 18–65 years old, had a personal identification number and were currently employed. WebRDS performance was assessed by the total sample size, length of recruitment chains, sample composition, sample proportions and estimated RDSII population proportions with confidence intervals. Results: The webRDS process resulted in a sample of 358 recruits and a total sample of 415 participants, recruited over 1–15 waves. Of the participating seeds and recruits, 60% and 48%, respectively, successfully recruited at least one peer. The sample composition stabilized for all variables assessed. The sample proportions and RDSII estimates differed by 1–8% and the confidence intervals included the sample proportions for all variables except one. Conclusions: WebRDS successfully recruited a sufficient sample of workers with precarious employment from which population estimates could be made. Future studies should consider implementing webRDS on a national level in order to further study this population.

Suggested Citation

  • 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.
    • Handle: RePEc:plo:pone00:0210183
    DOI: 10.1371/journal.pone.0210183
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0210183
    Download Restriction: no
    File URL: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0210183&type=printable
    Download Restriction: no
    File URL: https://libkey.io/10.1371/journal.pone.0210183?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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.

    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. 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.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. Aronow, Peter M. & Crawford, Forrest W., 2015. "Nonparametric identification for respondent-driven sampling," Statistics & Probability Letters, Elsevier, vol. 106(C), pages 100-102.
    7. 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.
    8. 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.
    9. 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.

    More about this item

    Statistics

    Access and download statistics

    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:plo:pone00:0210183. 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: plosone (email available below). General contact details of provider: https://journals.plos.org/plosone/ .

    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.