Identifying Pertinent Variables for Nonresponse Follow-Up Surveys : Lessons Learned from 4 Cases in Switzerland

Détails

Ressource 1Télécharger: Identifying Pertinent variables for NRS_SRM 2015_6138-18897-1-PB.pdf (178.86 [Ko])
Etat: Public
Version: Final published version
ID Serval
serval:BIB_945C79916739
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Titre
Identifying Pertinent Variables for Nonresponse Follow-Up Surveys : Lessons Learned from 4 Cases in Switzerland
Périodique
Survey Research Methods
Auteur(s)
Vandenplas Caroline, Joye Dominique, Ernst Stähli Michèle, Pollien Alexandre
ISSN
1864-3361
Statut éditorial
Publié
Date de publication
2015
Peer-reviewed
Oui
Volume
9
Numéro
3
Pages
141-158
Langue
anglais
Résumé
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.
- See more at: https://ojs.ub.uni-konstanz.de/srm/article/view/6138#sthash.u87EeaNG.dpuf
Mots-clé
Nonresponse, nonresponse bias, nornresponse survey, item reliability
Création de la notice
14/12/2015 11:56
Dernière modification de la notice
20/08/2019 14:56
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