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Bitte beziehen Sie sich beim Zitieren dieses Dokumentes immer auf folgenden Persistent Identifier (PID):
https://doi.org/10.18148/srm/2012.v6i2.5094

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Assessing the magnitude of non-consent biases in linked survey and administrative data

Die Beurteilung der Größe von nicht übereinstimmenden Tendenzen in verbundenen Erhebungs- und Verwaltungsdaten
[Zeitschriftenartikel]

Sakshaug, Joseph W.
Kreuter, Frauke

Abstract

"Administrative records are increasingly being linked to survey records to highten the utility of the survey data. Respondent consent is usually needed to perform exact record linkage; however, not all respondents agree to this request and several studies have found significant differences between c... mehr

"Administrative records are increasingly being linked to survey records to highten the utility of the survey data. Respondent consent is usually needed to perform exact record linkage; however, not all respondents agree to this request and several studies have found significant differences between consenting and non-consenting respondents on the survey variables. To the extent that these survey variables are related to variables in the administrative data, the resulting administrative estimates can be biased due to non-consent. Estimating non-consent biases for linked administrative estimates is complicated by the fact that administrative records are typically not available for the non-consenting respondents. The present study can overcome this limitation by utilizing a unique data source, the German Panel Study 'Labor Market and Social Security' (PASS), and linking the consent indicator to the administrative records (available for the entire sample). This situation permits the estimation of non-consent biases for administrative variables and avoids the need to link the survey responses. The impact of non-consent bias can be assessed relative to other sources of bias (nonresponse, measurement) for several administrative estimates. The results show that non-consent biases are present for few estimates, but are generally small relative to other sources of bias." (author's abstract)... weniger

Thesaurusschlagwörter
Daten; Datendokumentation; Datenerfassung; Datengewinnung; Datenorganisation; Datenqualität; Datenverarbeitung; Erhebungsmethode; Qualität; Bundesrepublik Deutschland; Panel

Klassifikation
Erhebungstechniken und Analysetechniken der Sozialwissenschaften

Sprache Dokument
Englisch

Publikationsjahr
2012

Seitenangabe
S. 113-122

Zeitschriftentitel
Survey Research Methods, 6 (2012) 2

ISSN
1864-3361

Status
Veröffentlichungsversion; begutachtet (peer reviewed)

Lizenz
Deposit Licence - Keine Weiterverbreitung, keine Bearbeitung


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Home  |  Impressum  |  Betriebskonzept  |  Datenschutzerklärung
© 2007 - 2025 Social Science Open Access Repository (SSOAR).
Based on DSpace, Copyright (c) 2002-2022, DuraSpace. All rights reserved.