08 March 2021–10 March 2021, 9:30 am–1:00 pm
This course looks at the problem of missing data in research studies in detail. Reasons and different types of missing data are discussed as well as bad and good methods of dealing with them.
NOTE: Due to the coronavirus outbreak, all courses will now be delivered online through a live video feed. You can expect the same level of group and individual support as you would have received in our face-to-face courses.
Missing data are very common in research studies, but ignoring these cases can lead to invalid and misleading conclusions being drawn. This workshop provides guidance on how to deal with missing values and the best ways of analysing a dataset that is incomplete.
The course runs with an optional second day for practical application. The part covers the following topics:
On the optional day of the course, the theory is put in practice with the use of SPSS and real-world datasets; particular emphasis is given to multiple imputation.
Everyone should ensure the SPSS software is installed and licensed before attending. Where possible, we recommend using a recent version of SPSS for maximum compatibility with the notes provided during the course..
February 03, 2021
February 12, 2021
January 29, 2021
UK Data Service, The University of Essex, and the Institute of Psychiatry, Psychology & Neuroscience, Kings College London
February 11, 2021
February 25, 2021