IDEAS home Printed from https://ideas.repec.org/a/eee/socmed/v339y2023ics0277953623007529.html
   My bibliography  Save this article

How well do surveys on adherence to pandemic policies assess actual behaviour: Measurement properties of the Dutch COVID-19 adherence to prevention advice survey (CAPAS)

Author

Listed:
  • Bussemakers, Carlijn
  • van Dijk, Mart
  • Dima, Alexandra L.
  • de Bruin, Marijn

Abstract

Survey data on adherence to COVID-19 prevention measures have often been used to inform policy makers and public health professionals. Although behavioural survey data are often considered to suffer from biases, there is a lack of studies critically examining the validity, reliability and responsiveness of population-survey data on behaviour throughout the COVID-19 pandemic.

Suggested Citation

  • Bussemakers, Carlijn & van Dijk, Mart & Dima, Alexandra L. & de Bruin, Marijn, 2023. "How well do surveys on adherence to pandemic policies assess actual behaviour: Measurement properties of the Dutch COVID-19 adherence to prevention advice survey (CAPAS)," Social Science & Medicine, Elsevier, vol. 339(C).
  • Handle: RePEc:eee:socmed:v:339:y:2023:i:c:s0277953623007529
    DOI: 10.1016/j.socscimed.2023.116395
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0277953623007529
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.socscimed.2023.116395?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Valerie C. Bradley & Shiro Kuriwaki & Michael Isakov & Dino Sejdinovic & Xiao-Li Meng & Seth Flaxman, 2021. "Unrepresentative big surveys significantly overestimated US vaccine uptake," Nature, Nature, vol. 600(7890), pages 695-700, December.
    2. Fabia Morales-Vives & Jorge-Manuel Dueñas & Pere J Ferrando & Andreu Vigil-Colet & Maria Dolores Varea, 2022. "COmpliance with pandemic COmmands Scale (COCOS): The relationship between compliance with COVID-19 measures and sociodemographic and attitudinal variables," PLOS ONE, Public Library of Science, vol. 17(1), pages 1-16, January.
    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. Gazmararian, Alexander F., 2024. "Fossil fuel communities support climate policy coupled with just transition assistance," Energy Policy, Elsevier, vol. 184(C).
    2. He, Xin & Mao, Xiaojun & Wang, Zhonglei, 2024. "Nonparametric augmented probability weighting with sparsity," Computational Statistics & Data Analysis, Elsevier, vol. 191(C).
    3. Cameron Deal & Shea Greenberg & Gilbert Gonzales, 2024. "Sexual identity, poverty, and utilization of government services," Journal of Population Economics, Springer;European Society for Population Economics, vol. 37(2), pages 1-31, June.
    4. Tesary Lin & Avner Strulov-Shlain, 2023. "Choice Architecture, Privacy Valuations, and Selection Bias in Consumer Data," Papers 2308.13496, arXiv.org.
    5. Avinash Collis & Kiran Garimella & Alex Moehring & M. Amin Rahimian & Stella Babalola & Nina H. Gobat & Dominick Shattuck & Jeni Stolow & Sinan Aral & Dean Eckles, 2022. "Global survey on COVID-19 beliefs, behaviours and norms," Nature Human Behaviour, Nature, vol. 6(9), pages 1310-1317, September.
    6. Camilla Salvatore, 2023. "Inference with non-probability samples and survey data integration: a science mapping study," METRON, Springer;Sapienza Università di Roma, vol. 81(1), pages 83-107, April.
    7. Stoler, Justin & Klofstad, Casey A. & Enders, Adam M. & Uscinski, Joseph E., 2022. "Sociopolitical and psychological correlates of COVID-19 vaccine hesitancy in the United States during summer 2021," Social Science & Medicine, Elsevier, vol. 306(C).
    8. Nelson, Victoria & Bashyal, Bidhan & Tan, Pang-Ning & Argyris, Young Anna, 2024. "Vaccine rhetoric on social media and COVID-19 vaccine uptake rates: A triangulation using self-reported vaccine acceptance," Social Science & Medicine, Elsevier, vol. 348(C).

    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:eee:socmed:v:339:y:2023:i:c:s0277953623007529. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/315/description#description .

    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.