The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Neuropsychological tests' norms above age 55: COWAT, BNT, MAE token, WRAT-R reading, AMNART, STROOP, TMT, and JLO
Abstract
Age- (> 55 years) and education-based norms are presented for eight neuropsychological tests: COWAT, BNT, MAE Token, WRAT-R Reading, AMNART, STROOP, TMT, and JLO. These data were obtained via several research projects that are known collectively as Mayo's Older Americans Normative Studies (MOANS). While this normative information should prove useful for each test, the fact that these norms were simultaneously obtained from the same reference group should promote accuracy in the comparison of any person's performance on one test against his or her functioning on any other tests with MOANS norms. Finally, the unique features of this MOANS sample are reviewed. These features must be kept in mind when these norms are applied in any specific clinical or research setting.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Mayo's older Americans normative studies: updated AVLT norms for ages 56 to 97
Ivnik, R. J., Malec, J. F., Smith, G. E., Tangalos, E. G., Petersen, R. C., Kokmen, E., & Kurland, L. T. (1992) · Clinical Neuropsychologist · doi:10.1080/13854049208401880 · Cited by 310
Self-citation
Cited by
Mild Cognitive Impairment: Clinical Characterization and Outcome
Petersen, R. C., Smith, G. E., Waring, S. C., Ivnik, R. J., Tangalos, E. G., & Kokmen, E. (1999) · Archives of Neurology · doi:10.1001/archneur.56.3.303 · Cited by 8,980
Self-citationHachinski, V., Iadecola, C., Petersen, R. C., Breteler, M. M., Nyenhuis, D. L., Black, S. E., Powers, W. J., DeCarli, C., Merino, J. G., Kalaria, R. N., et al. (2006) · Stroke · doi:10.1161/01.str.0000237236.88823.47 · Cited by 1,722
Self-citationThe stroop color and word test
Scarpina, F., & Tagini, S. (2017) · Frontiers in Psychology · doi:10.3389/fpsyg.2017.00557 · Cited by 1,661
Recommendations for the Use of Common Outcome Measures in Traumatic Brain Injury Research
Wilde, E. A., Whiteneck, G. G., Bogner, J., Bushnik, T., Cifu, D. X., Dikmen, S., French, L., Giacino, J. T., Hart, T., Malec, J. F., et al. (2010) · Archives of Physical Medicine and Rehabilitation · doi:10.1016/j.apmr.2010.06.033 · Cited by 461
Self-citationDefining mild cognitive impairment in Parkinson's disease
Caviness, J. N., Driver‐Dunckley, E., Connor, D. J., Sabbagh, M. N., Hentz, J. G., Noble, B., Evidente, V. G. H., Shill, H. A., & Adler, C. H. (2007) · Movement Disorders · doi:10.1002/mds.21453 · Cited by 422
The neuropsychological profile of vascular cognitive impairment in stroke and TIA patients
Sachdev, P. S., Brodaty, H., Valenzuela, M. J., Lorentz, L., Looi, J. C. L., Wen, W., & Zagami, A. S. (2004) · Neurology · doi:10.1212/01.wnl.0000115108.65264.4b · Cited by 408
Grudzien, A., Shaw, P., Weintraub, S., Bigio, E., Mash, D. C., & Mesulam, M. M. (2007) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2006.02.007 · Cited by 396
Physical Exercise, Aging, and Mild Cognitive Impairment: A Population-Based Study
Geda, Y. E., Roberts, R. O., Knopman, D. S., Christianson, T. J. H., Pankratz, V. S., Ivnik, R. J., Boeve, B. F., Tangalos, E. G., Petersen, R. C., & Rocca, W. A. (2010) · Archives of Neurology · doi:10.1001/archneurol.2009.297 · Cited by 371
Self-citationPrognosis of Mild Cognitive Impairment in Early Parkinson Disease: The Norwegian ParkWest Study
Pedersen, K. F., Larsen, J. P., Tysnes, O.-B., & Alves, G. (2013) · JAMA Neurology · doi:10.1001/jamaneurol.2013.2110 · Cited by 315
Mild cognitive impairment due to Alzheimer disease in the community
Petersen, R. C., Aisen, P., Boeve, B. F., Geda, Y. E., Ivnik, R. J., Knopman, D. S., Mielke, M., Pankratz, V. S., Roberts, R., Rocca, W. A., et al. (2013) · Annals of Neurology · doi:10.1002/ana.23931 · Cited by 265
Self-citationNonamnestic mild cognitive impairment progresses to dementia with Lewy bodies
Ferman, T. J., Smith, G. E., Kantarci, K., Boeve, B. F., Pankratz, V. S., Dickson, D. W., Graff-Radford, N. R., Wszolek, Z., Van Gerpen, J., Uitti, R., et al. (2013) · Neurology · doi:10.1212/01.wnl.0000436942.55281.47 · Cited by 236
Self-citationLucas, J. A., Ivnik, R. J., Smith, G. E., Ferman, T. J., Willis, F. B., Petersen, R. C., & Graff-Radford, N. R. (2005) · The Clinical Neuropsychologist · doi:10.1080/13854040590945337 · Cited by 197
Self-citationCarlson, M. C., Fried, L. P., Xue, Q.-L., Bandeen-Roche, K., Zeger, S. L., & Brandt, J. (1999) · The Journals of Gerontology Series B: Psychological Sciences and Social Sciences · doi:10.1093/geronb/54b.5.s262 · Cited by 194
Diffusion tensor imaging and cognitive function in older adults with no dementia
Kantarci, K., Senjem, M. L., Avula, R., Zhang, B., Samikoglu, A. R., Weigand, S. D., Przybelski, S. A., Edmonson, H. A., Vemuri, P., Knopman, D. S., et al. (2011) · Neurology · doi:10.1212/wnl.0b013e31822313dc · Cited by 182
Self-citationJohnco, C., Wuthrich, V. M., & Rapee, R. M. (2014) · Behaviour Research and Therapy · doi:10.1016/j.brat.2014.04.005 · Cited by 156
Practice effects predict cognitive outcome in amnestic mild cognitive impairment
Duff, K., Lyketsos, C. G., Beglinger, L. J., Chelune, G., Moser, D. J., Arndt, S., Schultz, S. K., Paulsen, J. S., Petersen, R. C., & McCaffrey, R. J. (2011) · The American Journal of Geriatric Psychiatry · doi:10.1097/jgp.0b013e318209dd3a · Cited by 126
Self-citationThe role of cognitive flexibility in cognitive restructuring skill acquisition among older adults
Johnco, C., Wuthrich, V. M., & Rapee, R. M. (2013) · Journal of Anxiety Disorders · doi:10.1016/j.janxdis.2012.10.004 · Cited by 84
Scott, E. P., Sorrell, A., & Benitez, A. (2019) · Journal of the International Neuropsychological Society · doi:10.1017/s1355617719000614 · Cited by 69
Utility of the LIBRA Index in Relation to Cognitive Functioning in a Clinical Health Seeking Sample
Pons, A., LaMonica, H. M., Mowszowski, L., Köhler, S., Deckers, K., & Naismith, S. L. (2018) · Journal of Alzheimer’s Disease · doi:10.3233/jad-170731 · Cited by 45
Diagnosing dementia in the oldest-old
Brumback-Peltz, C., Balasubramanian, A. B., Corrada, M. M., & Kawas, C. H. (2011) · Maturitas · doi:10.1016/j.maturitas.2011.07.008 · Cited by 49
Fine particle sources and cognitive function in an older Puerto Rican cohort in Greater Boston
Wurth, R., Kioumourtzoglou, M.-A., Tucker, K. L., Griffith, J., Manjourides, J., & Suh, H. (2018) · Environmental Epidemiology · doi:10.1097/ee9.0000000000000022 · Cited by 38
Rosengart, T. K., Sweet, J. J., Finnin, E., Wolfe, P., Cashy, J., Hahn, E., Marymont, J., & Sanborn, T. (2006) · The Annals of Thoracic Surgery · doi:10.1016/j.athoracsur.2006.03.026 · Cited by 36
Wicklund, A. H., Rademaker, A., Johnson, N., Weitner, B. B., & Weintraub, S. (2007) · Alzheimer Disease & Associated Disorders · doi:10.1097/wad.0b013e31815bf8a5 · Cited by 26
Metadata
- Authors
- Ivnik, R. J., Malec, J. F., Smith, G. E., Tangalos, E. G., & Petersen, R. C.
- Venue
- The Clinical Neuropsychologist
- Publisher
- Informa UK Limited
- Published
- 1996-07
- Volume
- 10
- Issue
- 3
- Pages
- 262-278
- ISSN
- 0920-1637 (ISSN-L)
- 1385-4046
- 1744-4144
- OpenAlex
- W1993967301
- Cited by
- 547
- References
- 1
- FWCI
- 10.50
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
