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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/16746

Title: Evaluating Mode Effects in Mixed-Mode Survey Data Using Covariate Adjustment Models
Authors: Vannieuwenhuyze, Jorre T. A.
Loosveldt, Geert
Molenberghs, Geert
Issue Date: 2014
Citation: JOURNAL OF OFFICIAL STATISTICS, 30 (1), p. 1-21
Abstract: 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.
Notes: Vannieuwenhuyze, JTA (reprint author), Univ Essex, Inst Social & Econ Res, Wivenhoe Pk, Colchester CO4 3SQ, Essex, England. jtavan@essex.ac.uk; geert.loosveldt@soc.kulueven.be; geert.molenberghs@med.kulueven.be
URI: http://hdl.handle.net/1942/16746
DOI: 10.2478/jos-2014-0001
ISI #: 000331715000001
ISSN: 0282-423X
Category: A1
Type: Journal Contribution
Validation: ecoom, 2015
Appears in Collections: Research publications

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