The Relative Size of Measurement Error and Attrition Error in a Panel Survey. Comparing Them With New Multi-Trait Multi-Method Model.

This paper proposes a method to simultaneously estimate both measurement and nonresponse errors for attitudinal and behavioural questions. The method uses a Multi-Trait Multi-Method (MTMM) approach, which is commonly used to estimate the reliability and validity of survey questions. The classic MTMM...

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Main Author: Peter Lugtig
Format: Article
Language:English
Published: European Survey Research Association 2017-12-01
Series:Survey Research Methods
Subjects:
Online Access:https://ojs.ub.uni-konstanz.de/srm/article/view/7170
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spelling doaj-a8c00c2918144f72bb9bb1c2c26151972020-11-25T02:34:58ZengEuropean Survey Research AssociationSurvey Research Methods1864-33612017-12-0111410.18148/srm/2017.v11i4.7170The Relative Size of Measurement Error and Attrition Error in a Panel Survey. Comparing Them With New Multi-Trait Multi-Method Model.Peter Lugtig0Utrecht UniversityThis paper proposes a method to simultaneously estimate both measurement and nonresponse errors for attitudinal and behavioural questions. The method uses a Multi-Trait Multi-Method (MTMM) approach, which is commonly used to estimate the reliability and validity of survey questions. The classic MTMM model is in this paper extended to include the effects of measurement bias and longitudinal nonresponse. Measurement and nonresponse errors are expressed on a common metric in this model, so that their relative sizes can be assessed over the course of a panel study. Using an example about political trust from the Dutch LISS panel, we show that measurement problems lead to both small errors and small biases, that dropout in the panel study does not lead to errors or bias, and that therefore, measurement is a more important source of both error and bias than nonresponse.https://ojs.ub.uni-konstanz.de/srm/article/view/7170Trade-off between nonresponse and measurementMTMMpanel studytotal survey error
collection DOAJ
language English
format Article
sources DOAJ
author Peter Lugtig
spellingShingle Peter Lugtig
The Relative Size of Measurement Error and Attrition Error in a Panel Survey. Comparing Them With New Multi-Trait Multi-Method Model.
Survey Research Methods
Trade-off between nonresponse and measurement
MTMM
panel study
total survey error
author_facet Peter Lugtig
author_sort Peter Lugtig
title The Relative Size of Measurement Error and Attrition Error in a Panel Survey. Comparing Them With New Multi-Trait Multi-Method Model.
title_short The Relative Size of Measurement Error and Attrition Error in a Panel Survey. Comparing Them With New Multi-Trait Multi-Method Model.
title_full The Relative Size of Measurement Error and Attrition Error in a Panel Survey. Comparing Them With New Multi-Trait Multi-Method Model.
title_fullStr The Relative Size of Measurement Error and Attrition Error in a Panel Survey. Comparing Them With New Multi-Trait Multi-Method Model.
title_full_unstemmed The Relative Size of Measurement Error and Attrition Error in a Panel Survey. Comparing Them With New Multi-Trait Multi-Method Model.
title_sort relative size of measurement error and attrition error in a panel survey. comparing them with new multi-trait multi-method model.
publisher European Survey Research Association
series Survey Research Methods
issn 1864-3361
publishDate 2017-12-01
description This paper proposes a method to simultaneously estimate both measurement and nonresponse errors for attitudinal and behavioural questions. The method uses a Multi-Trait Multi-Method (MTMM) approach, which is commonly used to estimate the reliability and validity of survey questions. The classic MTMM model is in this paper extended to include the effects of measurement bias and longitudinal nonresponse. Measurement and nonresponse errors are expressed on a common metric in this model, so that their relative sizes can be assessed over the course of a panel study. Using an example about political trust from the Dutch LISS panel, we show that measurement problems lead to both small errors and small biases, that dropout in the panel study does not lead to errors or bias, and that therefore, measurement is a more important source of both error and bias than nonresponse.
topic Trade-off between nonresponse and measurement
MTMM
panel study
total survey error
url https://ojs.ub.uni-konstanz.de/srm/article/view/7170
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