Reducing bias due to systematic attrition in longitudinal studies: The benefits of multiple imputation

International Journal of Behavioral Development - Tập 38 Số 5 - Trang 453-460 - 2014
Jens B. Asendorpf1, Rens van de Schoot2,3, Jaap J. A. Denissen4, Roos Hutteman3
11Humboldt University, Berlin, Germany
2#N# 2North-West University, South Africa
33Utrecht University, The Netherlands
4#N# 4Tilburg University, The Netherlands

Tóm tắt

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.

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Thông tin xuất bản

International Journal of Behavioral Development

Tập 38 Số 5

453-460

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