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Bitte beziehen Sie sich beim Zitieren dieses Dokumentes immer auf folgenden Persistent Identifier (PID):
https://doi.org/10.18148/srm/2015.v9i3.6138

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Identifying pertinent variables for nonresponse follow-up surveys: lessons learned from four cases in Switzerland

[Zeitschriftenartikel]

Vandenplas, Caroline
Joye, Dominique
Staehli, Michèle Ernst
Pollien, Alexandre

Abstract

"All social surveys suffer from different types of errors, of which one of the most studied is non-response bias. Non-response bias is a systematic error that occurs because individuals differ in their accessibility and propensity to participate in a survey according to their own characteristics as ... mehr

"All social surveys suffer from different types of errors, of which one of the most studied is non-response bias. Non-response bias is a systematic error that occurs because individuals differ in their accessibility and propensity to participate in a survey according to their own characteristics as well as those from the survey itself. The extent of the problem heavily depends on the correlation between response mechanisms and key survey variables. However, non-response bias is difficult to measure or to correct for due to the lack of relevant data about the whole target population or sample. In this paper, non-response follow-up surveys are considered as a possible source of information about non-respondents. Non-response follow-ups, however, suffer from two methodological issues: they themselves operate through a response mechanism that can cause potential non-response bias, and they pose a problem of comparability of measure, mostly because the survey design differs between main survey and non-response follow-up. In order to detect possible bias, the survey variables included in non-response surveys have to be related to the mechanism of participation, but not be sensitive to measurement effects due to the different designs. Based on accumulated experience of four similar non-response follow-ups, we studied the survey variables that fulfill these conditions. We differentiated socio-demographic variables that are measurement-invariant but have a lower correlation with non-response and variables that measure attitudes, such as trust, social participation, or integration in the public sphere, which are more sensitive to measurement effects but potentially more appropriate to account for the non-response mechanism. Our results show that education level, work status, and living alone, as well as political interest, satisfaction with democracy, and trust in institutions are pertinent variables to include in non-response follow-ups of general social surveys." (author's abstract)... weniger

Thesaurusschlagwörter
Antwortverhalten; Datengewinnung; Korrelation; soziale Faktoren; demographische Faktoren; Umfrageforschung

Klassifikation
Erhebungstechniken und Analysetechniken der Sozialwissenschaften

Freie Schlagwörter
nonresponse bias; nornresponse survey; item reliability

Sprache Dokument
Englisch

Publikationsjahr
2015

Seitenangabe
S. 141-158

Zeitschriftentitel
Survey Research Methods, 9 (2015) 3

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.