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Correlates of Obtaining Informed Consent to Data Linkage

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  • Emanuela Sala
  • Jonathan Burton
  • Gundi Knies

Abstract

In the United Kingdom, in order to link individual-level administrative records to survey responses, respondents need to give their consent. Using an unprecedented set of respondent, interview, and interviewer characteristics derived from the British Household Panel Survey (BHPS) matched with an interviewer survey, this research investigates which characteristics influence consent to adding health and social security records to the survey responses. We find that consent is related to respondents’ attitudes to privacy, community mindedness and data linkage salience as well as to some interview features such as the “household contagion effect†and the survey “fidelity.†Interviewer characteristics, including their personality, attitudes to persuading respondents, and job experience, are not associated with consent. Interviewers’ survey experience in the current wave and their task-specific experience, however, do influence consent. Implications of the findings are discussed and areas for future research are identified.

Suggested Citation

  • Emanuela Sala & Jonathan Burton & Gundi Knies, 2012. "Correlates of Obtaining Informed Consent to Data Linkage," Sociological Methods & Research, , vol. 41(3), pages 414-439, August.
    • Handle: RePEc:sae:somere:v:41:y:2012:i:3:p:414-439
    DOI: 10.1177/0049124112457330
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    References listed on IDEAS

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    1. Peter Lynn, 2003. "PEDAKSI: Methodology for Collecting Data about Survey Non-Respondents," Quality & Quantity: International Journal of Methodology, Springer, vol. 37(3), pages 239-261, August.
    2. Stephen P. Jenkins & Lorenzo Cappellari & Peter Lynn & Annette Jäckle & Emanuela Sala, 2006. "Patterns of consent: evidence from a general household survey," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 169(4), pages 701-722, October.
    3. C. O'Muircheartaigh & P. Campanelli, 1999. "A multilevel exploration of the role of interviewers in survey non‐response," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 162(3), pages 437-446.
    4. Finn-Aage Esbensen & Scott Menard, 1991. "Interviewer-related measurement error in attitudinal research: a nonexperimental study," Quality & Quantity: International Journal of Methodology, Springer, vol. 25(2), pages 151-165, May.
    5. Gray, Michelle & Constantine, Rebecca & d'Ardenne, Joanna & Blake, Margaret & Uhrig, S.C. Noah, 2008. "Cognitive testing of Understanding Society: the UK household longitudinal study questionnaire," Understanding Society Working Paper Series 2008-04, Understanding Society at the Institute for Social and Economic Research.
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    Citations

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    Cited by:

    1. Zeina Mneimneh, 2022. "Evaluation of consent to link Twitter data to survey data," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 185(S2), pages 364-386, December.
    2. Fertig, Michael & Görlitz, Katja, 2013. "Missing wages: How to test for biased estimates in wage functions?," Economics Letters, Elsevier, vol. 118(2), pages 269-271.
    3. Gessendorfer Jonathan & Beste Jonas & Drechsler Jörg & Sakshaug Joseph W., 2018. "Statistical Matching as a Supplement to Record Linkage: A Valuable Method to Tackle Nonconsent Bias?," Journal of Official Statistics, Sciendo, vol. 34(4), pages 909-933, December.
    4. Al Baghal, Tarek & Knies, Gundi & Burton, Jonathan, 2014. "Linking administrative records to surveys: differences in the correlates to consent decisions," Understanding Society Working Paper Series 2014-09, Understanding Society at the Institute for Social and Economic Research.
    5. Warnke, Arne Jonas, 2017. "An investigation of record linkage refusal and its implications for empirical research," ZEW Discussion Papers 17-031, ZEW - Leibniz Centre for European Economic Research.
    6. Das Marcel & Couper Mick P., 2014. "Optimizing Opt-Out Consent for Record Linkage," Journal of Official Statistics, Sciendo, vol. 30(3), pages 1-19, September.
    7. Sala, Emanuela & Knies, Gundi & Burton, Jonathan, 2013. "Propensity to consent to data linkage: experimental evidence from the Innovation Panel on the role of three survey design features," Understanding Society Working Paper Series 2013-05, Understanding Society at the Institute for Social and Economic Research.
    8. Fullard, Joshua & Sen, Sonkurt, 2022. "Tell me who you are and I will give you my consent: a light-touch intervention on consent to data linkage," ISER Working Paper Series 2022-10, Institute for Social and Economic Research.
    9. Burton, Jonathan & Sala, Emanuela & Knies, Gundi, 2011. "Consenting to health record linkage: evidence from the British Household Panel Study," ISER Working Paper Series 2011-27, Institute for Social and Economic Research.
    10. Joseph W. Sakshaug & Mick P. Couper & Mary Beth Ofstedal & David R. Weir, 2012. "Linking Survey and Administrative Records," Sociological Methods & Research, , vol. 41(4), pages 535-569, November.
    11. Sakshaug Joseph W., 2022. "Reducing Nonresponse and Data Linkage Consent Bias in Large-Scale Panel Surveys," Forum for Health Economics & Policy, De Gruyter, vol. 25(1-2), pages 41-55, December.
    12. Emanuela Sala & Daniele Zaccaria & Antonio Guaita, 2020. "Survey participation to the first Wave of a longitudinal study of older people: the case of the Italian InveCe.Ab study," Quality & Quantity: International Journal of Methodology, Springer, vol. 54(1), pages 99-110, February.
    13. repec:iab:iabfme:201402(en is not listed on IDEAS

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