The Estimation of Measurement Error in Panel Data

Wiley, David E.; Wiley, James

doi:10.2307/2093858

Cited by 241 publications

(49 citation statements)

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“…Wiley and Wiley (1970) soon offered an slightly different decomposition, and although a three-wave panel cannot test the assumptions that distinguish Heise's version from that of Wiley and Wiley, both have proven to be very useful in research. Alwin (2007) used both decompositions to estimate reliabilities for all the repeated items in the American National Election Surveys (ANES).…”

Section: Quantifying Reliabilitymentioning

confidence: 99%

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Reliability of the Core Items in the General Social Survey: Estimates from the Three-Wave Panels, 2006–2014

Hout¹,

Hastings²

2016

SocScience

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Section: Quantifying Reliabilitymentioning

confidence: 99%

“…Three measures offer the prospect, with generally reasonable assumptions, of measuring both change and reliability (Alwin 2007:95-148;Heise 1969;Wiley and Wiley 1970). We exploit three-wave panel data from the General Social Survey (GSS) The GSS is among the most-used data sets in the social sciences.…”

mentioning

confidence: 99%

Reliability of the Core Items in the General Social Survey: Estimates from the Three-Wave Panels, 2006–2014

Hout¹,

Hastings²

2016

SocScience

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“…Coleman (1968) showed that we can estimate true stability and measurement error if we have panel data from three or more waves. Heise (1969) and Wiley and Wiley (1970) presented path analytic methods for estimating true stability and error from test-retest correlations.…”

Section: Previous Studies Of Poverty Dynamics and The Problem Of Measmentioning

confidence: 99%

Poverty dynamics corrected for measurement error

Breen¹,

Moisio

2004

J Econ Inequal

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Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. • ESRC Research Centre on Micro-social Change. Established in 1989 to identify, explain, model and forecast social change in Britain at the individual and household level, the Centre specialises in research using longitudinal data. Terms of use: Documents in• ESRC UK Longitudinal Centre. This national resource centre was established in October 1999 to promote the use of longitudinal data and to develop a strategy for the future of large-scale longitudinal surveys. It was responsible for the British Household Panel Survey (BHPS) and for the ESRC's interest in the National Child Development Study and the 1970 British Cohort Study• European Centre for Analysis in the Social Sciences. ECASS is an interdisciplinary research centre which hosts major research programmes and helps researchers from the EU gain access to longitudinal data and cross-national datasets from all over Europe.The British Household Panel Survey is one of the main instruments for measuring social change in Britain. The BHPS comprises a nationally representative sample of around 5,500 households and over 10,000 individuals who are reinterviewed each year. The questionnaire includes a constant core of items accompanied by a variable component in order to provide for the collection of initial conditions data and to allow for the subsequent inclusion of emerging research and policy concerns.Among the main projects in ISER's research programme are: the labour market and the division of domestic responsibilities; changes in families and households; modelling households' labour force behaviour; wealth, well-being and socio-economic structure; resource distribution in the household; and modelling techniques and survey methodology.BHPS data provide the academic community, policymakers and private sector with a unique national resource and allow for comparative research with similar studies in Europe, the United States and Canada.BHPS data are available from the Data Archive at the University of Essex http://www.data-archive.ac.ukFurther information about the BHPS and other longitudinal surveys can be obtained by telephoning +44 (0) 1206 873543. The support of both the Economic and Social Research Council (ESRC) and the University of Essex is gratefully acknowledged. The work reported in this paper is part of the scientific programme of the Institute for Social and Economic Research. Acknowledgement:Comments welcome but please do not quote without authors' permission. 4 ABSTRACTWe use latent class ...

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“…The ideal scenario is a research design which enables direct measurement error estimation. For (quasi-)continuous measures of media use (e.g., the common "days of a week" question), where the assumption of random normal measurement error seems reasonable enough, the error variance can be estimated with a test-retest model of three-wave panel data (Heise, 1969;D. E. Wiley & Wiley, 1970).…”

Section: Possible Remedies Ii: Correcting For the Consequences Of Meamentioning

confidence: 99%

Some suggestions on dealing with measurement error in linkage analyses

Bachl¹,

Scharkow²

2017

Preprint

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Linkage analysis is a sophisticated media effect research design that reconstructs the likely exposure to relevant media messages of individual survey respondents by complementing the survey data with a content analysis. It is an important improvement over survey-only designs: Instead of predicting some outcome of interest by media use and implicitly assuming what kind of media messages the respondents were exposed to, linkage analysis explicitly takes the media messages into account (de Vreese & Neijens, 2016; Scharkow & Bachl, 2017; Schuck, Vliegenthart, & de Vreese, 2016; Shoemaker & Reese, 1990; Slater, 2016; Valkenburg & Peter, 2013). The design in its modern form has been pioneered by Miller, Goldenberg, and Erbring (1979) and is today considered a “state-of-the art analysis of the impact of specific news consumption” (Fazekas & Larsen, 2015, p. 196). Its widespread use, especially in the field of political communication, and its still increasing popularity demonstrate the relevance of the design. The main advantage of a linkage analysis is the use of one or more message exposure variables which combine information about media use and media content. However, both constitutive sources are often measured with error: Survey respondents are not very good at reporting their media use reliably, and coders will often make some errors when classifying the relevant messages.In this article, we will first give a short overview on the prevalence and consequences of measurement error in both data sources. The arguments are based on a literature review and a simulation study which are published elsewhere in full detail (Scharkow & Bachl, 2017). We continue with a discussion of possible remedies in measurement and data analysis. Beyond the obvious need to improve the measures themselves, we highlight the importance of serious diagnostics of measurement quality. Such information can then be incorporated in the data analysis using estimation or imputation approaches, which are introduced in the main section of this chapter. We conclude by noting that 1) the improvement of measurements and the diagnosis of measurement error in both parts of a linkage analysis must be taken seriously; 2) many tools for correcting measurement error in single parts of a linkage analysis already exist and should be used; 3) methodological research is needed for the development of an integrated analysis workflow which accounts for measurement error and uncertainty in both data sources.

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The Estimation of Measurement Error in Panel Data

Cited by 241 publications

References 0 publications

Reliability of the Core Items in the General Social Survey: Estimates from the Three-Wave Panels, 2006–2014

Reliability of the Core Items in the General Social Survey: Estimates from the Three-Wave Panels, 2006–2014

Poverty dynamics corrected for measurement error

Some suggestions on dealing with measurement error in linkage analyses

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