The MTMM approach to coping with measurement errors in survey research

Saris, Willem E.

The MTMM approach to coping with measurement errors in survey research

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dc.contributor.author Saris, Willem E.ca
dc.date.accessioned 2017-03-24T09:48:40Z
dc.date.available 2017-03-24T09:48:40Z
dc.date.issued 2009
dc.description.abstract Designing a survey involves many more decisions than most researchers realize. Some survey specialists therefore talk about the art of designing survey questions (Payne 1951). Designing a survey in a scientific way requires knowledge of how the many decisions that researchers take in survey design affect the quality of questions. Many studies have been done in this area. Inspired by the work of Frank Andrews (1984), we elaborated his Multitrait Multimethod (MTMM) approach to evaluating the quality of questions. On the basis of a meta-analysis of a large number of MTMM experiments, we developed a program (SQP) that can predict the quality of questions before they are used in the field (Saris and Gallhofer, 2007). In this paper we will briefly explain the approach we have chosen, illustrate the method and discuss its advantages and disadvantages.ca
dc.format.mimetype application/pdfca
dc.identifier.uri http://hdl.handle.net/10230/28299
dc.language.iso engca
dc.relation.ispartofseries RECSM Working Paper Series;2
dc.rights This is an Open Access article distributed under the terms of the Creative Commons Attribution License Creative Commons Attribution 4.0 International, which permits unrestricted use, distribution and reproduction in any medium provided that the original work is properlyattributed.ca
dc.rights.accessRights info:eu-repo/semantics/openAccessca
dc.rights.uri http://creativecommons.org/licenses/by/4.0/ca
dc.title The MTMM approach to coping with measurement errors in survey researchca
dc.type info:eu-repo/semantics/workingPaperca

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