Browsing Faculty of Humanities by Subject "Multiple imputation"
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How to handle missing data: A comparison of different approaches
(Routledge Journals, Taylor & Francis Ltd, 2015)Many researchers face the problem of missing data in longitudinal research. Especially, high risk samples are characterized by missing data which can complicate analyses and the interpretation of results. In the current ... -
Reducing bias due to systematic attrition in longitudinal studies: The benefits of multiple imputation
(Sage, 2014)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 ...