Evidence map›Paper›PMID 27375305›Full record

ArticleSociological methods & research2012

LINKING SURVEY AND ADMINISTRATIVE RECORDS: MECHANISMS OF CONSENT.

Joseph W Sakshaug, Mick P Couper, Mary Beth Ofstedal, David R Weir

Abstract read
In one paragraph

Article in Sociological methods & research, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

16 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Observational
  6. Enhancing Human Biomonitoring Studies through Linkage to Administrative Registers-Status in Europe.International journal of environmental research and public health · 2022
    Article
  7. Article
  8. Article
  9. Article
  10. National data opt out programme: consequences for maternity statistics in England.International journal of population data science · 2020
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Linking Survey and Twitter Data: Informed Consent, Disclosure, Security, and Archiving.Journal of empirical research on human research ethics : JERHRE
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Joseph W SakshaugInstitute for Employment Research, Nuremberg, Germany; Department of Statistics, Ludwig-Maximilians University of Munich.
Mick P CouperInstitute for Social Research, University of Michigan.
Mary Beth OfstedalInstitute for Social Research, University of Michigan.
David R WeirInstitute for Social Research, University of Michigan.

Funding

HRS Yrs29-34: Y33 SSA CoFundingU01AG009740 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Jessica Faul, KENNETH M LANGA · 1990 to 2026
$555.8M
NIA NIH HHS U01 AG009740
6 · The paper itself

Abstract

Survey records are increasingly being linked to administrative databases to enhance the survey data and increase research opportunities for data users. A necessary prerequisite to linking survey and administrative records is obtaining informed consent from respondents. Obtaining consent from all respondents is a difficult challenge and one that faces significant resistance. Consequently, data linkage consent rates vary widely from study-to-study. Several studies have found significant differences between consenters and non-consenters on socio-demographic variables, but no study has investigated the underlying mechanisms of consent from a theory-driven perspective. In this study, we describe and test several hypotheses related to respondents' willingness to consent to an earnings and benefit data linkage request based on mechanisms related to financial uncertainty, privacy concerns, resistance towards the survey interview, level of attentiveness during the interview, the respondents' preexisting relationship with the administrative data agency, and matching respondents and interviewers on observable characteristics. The results point to several implications for survey practice and suggestions for future research.

Indexed as

Administrative recordsAttentivenessConsentData linkageHealth and Retirement StudyInterviewer effectsMechanismsPrivacy

Identifiers

PMID27375305
PMCPMC4928635

What OpenQuestion holds

Textmetadata
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Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.