Vannieuwenhuyze, Jorre T.A.Revilla, Melanie2020-02-102020-02-102013Vannieuwenhuyze JTA, Revilla M. Relative mode effects on data quality in mixed-mode surveys by an instrumental variable. Survey Research Methods. 2013;7(3):157-68. DOI: 10.18148/srm/2013.v7i3.51371864-3361http://hdl.handle.net/10230/43537In order to compare data-quality of different data-collection modes, multitrait-multimethod (MTMM) experiments have been implemented in a mixed-mode experiment parallel to the European Social Survey (ESS) fourth round (2008/2009). Special interest lies in measurement effects between the modes which refer to the pure impact of a data-collection mode on the quality. Nevertheless, mere comparison between quality estimates of the different modes does not allow drawing conclusions about measurement effects. Indeed, measurement effects may be completely confounded with selection effects which refer to differences in respondents compositions across the modes. However, by comparing the mixed-mode data with the main ESS data and treating the dataset of origin as an instrumental variable, some conditional measurement effects and selection effects can be disentangled. This paper provides a preliminary exploratory analysis of this approach. The results generally yield low to fair measurement effects while the selection effects on some items are rather large.application/pdfengCopyright for articles published in this journal is retained by the authors, with first publication rights granted to the journal. By virtue of their appearance in this open access journal, users can use, reuse and build upon the material published in the journal but only for non-commercial purposes and with proper attribution.info:eu-repo/semantics/articlehttp://dx.doi.org/10.18148/srm/2013.v7i3.5137Mode effectsMeasurement effectsSelection effectsMultitrait-multimethodReliabilityValidityQualityEuropean Social Surveyinfo:eu-repo/semantics/openAccess