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Evaluating Mode Effects in Mixed-Mode Survey Data Using Covariate Adjustment Models

Vannieuwenhuyze, Jorre T A and Loosveldt, Geert and Molenberghs, Geert (2014) 'Evaluating Mode Effects in Mixed-Mode Survey Data Using Covariate Adjustment Models.' Journal of Official Statistics, 30 (1). pp. 1-21. ISSN 0282-423X

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The confounding of selection and measurement effects between different modes is a disadvantage of mixed-mode surveys. Solutions to this problem have been suggested in several studies. Most use adjusting covariates to control selection effects. Unfortunately, these covariates must meet strong assumptions, which are generally ignored. This article discusses these assumptions in greater detail and also provides an alternative model for solving the problem. This alternative uses adjusting covariates, explaining measurement effects instead of selection effects. The application of both models is illustrated by using data from a survey on opinions about surveys, which yields mode effects in line with expectations for the latter model, and mode effects contrary to expectations for the former model. However, the validity of these results depends entirely on the (ad hoc) covariates chosen. Research into better covariates might thus be a topic for future studies.

Item Type: Article
Uncontrolled Keywords: Selection effects; measurement effects; back-door model; front-door model; causal inference; opinion about surveys
Subjects: H Social Sciences > HA Statistics
Divisions: Faculty of Social Sciences > Institute for Social and Economic Research
Depositing User: Jim Jamieson
Date Deposited: 06 May 2014 14:12
Last Modified: 06 May 2014 14:12

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