Non-Observation Bias in an Address-Register-Based CATI/CAPI Mixed Mode Survey

Détails

Ressource 1Télécharger: BIB_239E383186F3.P001.pdf (814.87 [Ko])
Etat: Public
Version: Final published version
ID Serval
serval:BIB_239E383186F3
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Titre
Non-Observation Bias in an Address-Register-Based CATI/CAPI Mixed Mode Survey
Périodique
methods, data, analyses
Auteur(s)
Lipps O.
Statut éditorial
Publié
Date de publication
05/2016
Peer-reviewed
Oui
Volume
10
Numéro
1
Pages
5-24
Langue
anglais
Résumé
Landline surveys suffer from an increasing risk of excluding a relevant share of the population. To analyze and correct telephone coverage issues, face-to-face surveys are often used, which contain questions about landline ownership and registration. Others use dual frame approaches and compare results from the landline with another mode. However, such surveys lack information about unobserved sample members.
In this article we analyze representation bias using a household survey with a sample drawn from a population register, where landline is used for households with a matched landline, and face-to-face for those without. We distinguish between the different components of nonobservation, including landline undercoverage, non-contact, and non-cooperation, by either incorporating face-to-face sample members or not, and by the fieldwork
phases to recruit households and individuals. Our main interest is how biases from each of these components add up to a final representation bias in the responding sample. In addition, we analyze income and deprivation differences by either including face-to-face sample members or not.
The strongest representation bias in the telephone sample on the household level is caused by telephone undercoverage. The combined sample suffers much less from representation bias, which mostly stems from noncooperation. In terms of income and deprivation differences, our results show that the face-to-face sample is poorer than the telephone sample and needs to be considered for unbiased estimates. Based on these findings we
offer some fieldwork recommendations to help reduce selection bias based on the different reasons for nonobservation.
Mots-clé
mixed mode, telephone number matching, paradata, coverage, contact, cooperation, representation bias
Création de la notice
24/05/2016 9:51
Dernière modification de la notice
20/08/2019 13:01
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