OUP accepted manuscript

Bibliographic Data

ID6370413
AuthorsPhilipp Eisnecker (0000-0002-0148-7127), Martin Kroh (0000-0002-4889-8425)
Year2016
Publication date2016-01-01
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenuePublic Opinion Quarterly (JOURNAL)
Journal identifiersISSN: 0033-362X • E-ISSN: 1537-5331
PublisherOxford University Press (OUP) (PUBLISHER)
DOI10.1093/poq/nfw052
OpenAlexW2805371314
LanguageEN
Citations received6
References cited3

Journal Article The Informed Consent to Record Linkage in Panel Studies: Optimal Starting Wave, Consent Refusals, and Subsequent Panel Attrition Get access Philipp Simon Eisnecker, Philipp Simon Eisnecker 1Philipp Simon Eisnecker is a doctoral candidate at the Berlin Graduate School of Social Sciences (BGSS) at Humboldt-Universität zu Berlin, Berlin, Germany, and a research associate at the Research Infrastructure Socio-Economic Panel (SOEP) at the German Institute for Economic Research (DIW), Berlin, Germany. Martin Kroh is a professor for social science research methods at the Institute for Social Sciences at Humboldt-Universität zu Berlin, Berlin, Germany, and deputy director at the Research Infrastructure Socio-Economic Panel (SOEP) at the German Institute for Economic Research (DIW), Berlin, Germany. The authors are grateful for helpful comments from the anonymous reviewers as well as from the participants of the session “Methodological Issues of Using Administrative Data to Improve the Quality of Survey Data” at the Sixth Conference of the European Survey Research Association (ESRA) in Reykjavik, where preliminary results of the experiments in this paper were presented. This work was supported by SOEP Record Linkage: Longitudinal Survey of Migrants from the Social Insurance Statistics (SOEP-REC-LINK) – Sampling of Administrative Data and Linkage with Survey Data on Migration of the Leibniz Competition 2013 [SAW-2013-SOEP-2] to M.K. Search for other works by this author on: Oxford Academic Google Scholar Martin Kroh Martin Kroh 1Philipp Simon Eisnecker is a doctoral candidate at the Berlin Graduate School of Social Sciences (BGSS) at Humboldt-Universität zu Berlin, Berlin, Germany, and a research associate at the Research Infrastructure Socio-Economic Panel (SOEP) at the German Institute for Economic Research (DIW), Berlin, Germany. Martin Kroh is a professor for social science research methods at the Institute for Social Sciences at Humboldt-Universität zu Berlin, Berlin, Germany, and deputy director at the Research Infrastructure Socio-Economic Panel (SOEP) at the German Institute for Economic Research (DIW), Berlin, Germany. The authors are grateful for helpful comments from the anonymous reviewers as well as from the participants of the session “Methodological Issues of Using Administrative Data to Improve the Quality of Survey Data” at the Sixth Conference of the European Survey Research Association (ESRA) in Reykjavik, where preliminary results of the experiments in this paper were presented. This work was supported by SOEP Record Linkage: Longitudinal Survey of Migrants from the Social Insurance Statistics (SOEP-REC-LINK) – Sampling of Administrative Data and Linkage with Survey Data on Migration of the Leibniz Competition 2013 [SAW-2013-SOEP-2] to M.K. Search for other works by this author on: Oxford Academic Google Scholar Public Opinion Quarterly, Volume 81, Issue 1, 1 March 2017, Pages 131–143, https://doi.org/10.1093/poq/nfw052 Published: 10 December 2016

Attrition · German · Library science · Linkage (software · Political science · Social research · Social science · Sociology · Computer Science · Data Quality and Management · Medicine · Psychology · Statistical Methods and Bayesian Inference · Survey Methodology and Nonresponse · History

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