Data quality assurance and control in cognitive research: Lessons learned from the PREDICT-HD study
AuthorsWestervelt, Holly James
Bernier, Rachel A.
Bockholt, H. Jeremy
Long, Jeffrey D.
Paulsen, Jane S.
UMass Chan AffiliationsGraduate School of Nursing
Psychiatry and Psychology
Quantitative, Qualitative, Comparative, and Historical Methodologies
Research Methods in Life Sciences
MetadataShow full item record
AbstractWe 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.
Int J Methods Psychiatr Res. 2017 Sep;26(3). doi: 10.1002/mpr.1534. Epub 2017 Feb 17. Link to article on publisher's site
Permanent Link to this Itemhttp://hdl.handle.net/20.500.14038/34573