Data quality assurance and control in cognitive research: Lessons learned from the PREDICT‐HD study. Issue 3 (17th February 2017)

• Record Type: Journal Article
• Authors: Westervelt, Holly James; Bernier, Rachel A.; Faust, Melanie; Gover, Mary; Bockholt, H. Jeremy; Zschiegner, Roland; Long, Jeffrey D.; Paulsen, Jane S.
• Is Part Of: International journal of methods in psychiatric research. Volume 26:Issue 3(2017:Sep.)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2017-02-17
• Subjects: quality control -- quality assurance -- cognitive assessment; Psychiatry -- Research -- Methodology -- Periodicals; Psychiatry -- Periodicals; 616.890072
• DOI: 10.1002/mpr.1534
• Languages: English
• ISSNs: 1049-8931

Abstract

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.