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Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
neuroscience
Reducing bias due to systematic attrition in longitudinal studies: The benefits of multiple imputation
International Journal of Behavioral Development, Volume 38, No. 5, Year 2014
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Description
Most longitudinal studies are plagued by drop-out related to variables at earlier assessments (systematic attrition). Although systematic attrition is often analysed in longitudinal studies, surprisingly few researchers attempt to reduce biases due to systematic attrition, even though this is possible and nowadays technically easy. This is particularly true for studies of stability and the long-term prediction of developmental outcomes. We provide guidelines how to reduce biases in such cases particularly with multiple imputation. Following these guidelines does not require advanced statistical knowledge or special software. We illustrate these guidelines and the importance of reducing biases due to selective attrition with a 25-year longitudinal study on the long-term prediction of aggressiveness and delinquency. © The Author(s) 2014 Reprints and permissions: sagepub.co.uk/journalsPermissions.nav.
Authors & Co-Authors
Asendorpf, Jens B.
Germany, Berlin
Humboldt-universität zu Berlin
van de Schoot, Rens A.G.J.
South Africa, Potchefstroom
North-west University
Netherlands, Utrecht
Universiteit Utrecht
Denissen, Jaap J.A.
Netherlands, Tilburg
Tilburg University
Hutteman, Roos
Netherlands, Utrecht
Universiteit Utrecht
Statistics
Citations: 176
Authors: 4
Affiliations: 4
Identifiers
Doi:
10.1177/0165025414542713
ISSN:
01650254
e-ISSN:
14640651
Study Design
Cohort Study
Study Approach
Quantitative