Original ArticlesResults From the NACC Uniform Data Set Neuropsychological Battery Crosswalk StudyMonsell, Sarah E. MS*; Dodge, Hiroko H. PhD†,‡; Zhou, Xiao-Hua PhD*,§; Bu, Yunqi BS*,§; Besser, Lilah M. MSPH*; Mock, Charles MD, PHD*,∥; Hawes, Stephen E. PhD∥; Kukull, Walter A. PhD*,∥; Weintraub, Sandra PhD¶; Neuropsychology Work Group Advisory to the Clinical Task ForceAuthor Information *National Alzheimer’s Coordinating Center Departments of §Biostatistics ∥Epidemiology, University of Washington, Seattle, WA †Department of Neurology, Oregon Health & Science University, Portland, OR ‡Department of Neurology, University of Michigan, Ann Arbor, MI ¶Department of Psychiatry and Behavioral Sciences, Cognitive Neurology and Alzheimer’s Disease Center, Northwestern University Feinberg School of Medicine, Chicago, IL The NACC database is funded by NIA/NIH Grant U01 AG016976. NACC data are contributed by the National Institute on Aging-funded Alzheimer’s Disease Centers: P30 AG019610 (PI Eric Reiman, MD), P30 AG013846 (PI Neil Kowall, MD), P50 AG008702 (PI Scott Small, MD), P50 AG025688 (PI Allan Levey, MD, PhD), P30 AG010133 (PI Andrew Saykin, PsyD), P50 AG005146 (PI Marilyn Albert, PhD), P50 AG005134 (PI Bradley Hyman, MD, PhD), P50 AG016574 (PI Ronald Petersen, MD, PhD), P50 AG005138 (PI Mary Sano, PhD), P30 AG008051 (PI Steven Ferris, PhD), P30 AG013854 (PI M. Marsel Mesulam, MD), P30 AG008017 (PI Jeffrey Kaye, MD), P30 AG010161 (PI David Bennett, MD), P30 AG010129 (PI Charles DeCarli, MD), P50 AG016573 (PI Frank LaFerla, PhD), P50 AG016570 (PI David Teplow, PhD), P50 AG005131 (PI Douglas Galasko, MD), P50 AG023501 (PI Bruce Miller, MD), P30 AG035982 (PI Russell Swerdlow, MD), P30 AG028383 (PI Linda Van Eldik, PhD), P30 AG010124 (PI John Trojanowski, MD, PhD), P50 AG005133 (PI Oscar Lopez, MD), P50 AG005142 (PI Helena Chui, MD), P30 AG012300 (PI Roger Rosenberg, MD), P50 AG005136 (PI Thomas Montine, MD, PhD), P50 AG033514 (PI Sanjay Asthana, MD, FRCP), and P50 AG005681 (PI John Morris, MD). The authors declare no conflicts of interest. Reprints: Sarah E. Monsell, MS, National Alzheimer’s Coordinating Center, University of Washington, 4311 11th Ave. NE #300, Campus Box 354983, Seattle, WA 98105 (e-mail: email@example.com). Alzheimer Disease & Associated Disorders: April–June 2016 - Volume 30 - Issue 2 - p 134-139 doi: 10.1097/WAD.0000000000000111 Buy SDC Metrics Abstract Introduction: Four new nonproprietary tests were recommended for use in the National Alzheimer’s Coordinating Center’s Uniform Data Set Neuropsychological Battery. These tests are similar to previous tests but also allow for continuity of longitudinal data collection and wide dissemination among research collaborators. Methods: A Crosswalk Study was conducted in early 2014 to assess the correlation between each set of new and previous tests. Tests with good correlation were equated using equipercentile equating. The resulting conversion tables allow scores on the new tests to be converted to equivalent scores on the previous tests. Results: All pairs of tests had good correlation (ρ=0.68 to 0.78). Learning effects were detected for Logical Memory only. Confidence intervals were narrow at each point estimate, and prediction accuracy was high. Discussion: The recommended new tests are well correlated with the previous tests. The equipercentile equating method produced conversion tables that provide a useful reference for clinicians and researchers. Copyright © 2015 Wolters Kluwer Health, Inc. All rights reserved.