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https://doi.org/10.18148/srm/2017.v11i4.7170

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

[journal article]

Lugtig, Peter

Abstract

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... view more

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.... view less

Keywords
panel; questionnaire; data quality; validity; attitude research; response behavior; survey research; data capture; reliability

Classification
Methods and Techniques of Data Collection and Data Analysis, Statistical Methods, Computer Methods

Free Keywords
trade-off between nonresponse and measurement; MTMM; total survey error

Document language
English

Publication Year
2017

Page/Pages
p. 369-382

Journal
Survey Research Methods, 11 (2017) 4

ISSN
1864-3361

Status
Published Version; peer reviewed

Licence
Deposit Licence - No Redistribution, No Modifications


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Home  |  Legal notices  |  Operational concept  |  Privacy policy
© 2007 - 2025 Social Science Open Access Repository (SSOAR).
Based on DSpace, Copyright (c) 2002-2022, DuraSpace. All rights reserved.