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Data quality assurance and control in cognitive research: Lessons learned from the PREDICT-HD study.
Int J Methods Psychiatr Res
; 26(3)2017 09.
Article
in English
| MEDLINE
| ID: mdl-28211597
ABSTRACT
We discuss the strategies employed in data quality control and quality assurance for the cognitive core of Neurobiological Predictors of Huntington's Disease (PREDICT-HD), a long-term observational study of over 1,000 participants with prodromal Huntington disease. In particular, we provide details regarding the training and continual evaluation of cognitive examiners, methods for error corrections, and strategies to minimize errors in the data. We present five important lessons learned to help other researchers avoid certain assumptions that could potentially lead to inaccuracies in their cognitive data.