Correction to The NIH Toolbox Cognition Battery: Results From a Large Normative Developmental Sample (PING) [Neuropsychology 28, 1, 1-10] DOI: 10.1037/neu0000001;The NIH toolbox cognition battery: Results from a large normative developmental sample (PING)

Neuropsychology

Volumn 28, Issue 1, 2014, Pages 1-10

  Akshoomoff, Natacha ^a   Newman, Erik ^a   Thompson, Wesley K ^b   McCabe, Connor ^a   Bloss, Cinnamon S ^c   Chang, Linda ^d   Amaral, David G ^e   David, G ^f   Casey, B J ^f   Ernst, Thomas M ^g   Frazier, Jean A ^h   Gruen, Jeffrey R ⁱ   Kaufmann, Walter E ^j   Kenet, Tal ^k   Kennedy, David N ^g   Libiger, Ondrej ^c   Mostofsky, Stewart ^l   Murray, Sarah S ^c   Sowell, Elizabeth R ^m   Schork, Nicholas ^c   Dale, Anders M ⁿ   Jernigan, Terry L ^a   more..

^a UNIVERSITY OF CALIFORNIA   (United States)

^b San Diego   (United States)

^c SCRIPPS HEALTH   (United States)

^d UNIVERSITY OF HAWAII   (United States)

^e UNIVERSITY OF CALIFORNIA   (United States)

^f Sackler Institute for Developmental Psychobiology   (United States)

^g WEILL CORNELL MEDICAL COLLEGE   (United States)

^h Department of Medicine   (United States)

ⁱ UNIVERSITY OF MASSACHUSETTS MEDICAL SCHOOL   (United States)

^j YALE UNIVERSITY SCHOOL OF MEDICINE   (United States)

^k KENNEDY KRIEGER INSTITUTE   (United States)

^l MASSACHUSETTS GENERAL HOSPITAL   (United States)

^m JOHNS HOPKINS UNIVERSITY SCHOOL OF MEDICINE   (United States)

ⁿ UNIVERSITY OF SOUTHERN CALIFORNIA   (United States)

more..

Author keywords

Cognitive development; Computerized assessment; Socioeconomic status

Indexed keywords

ADOLESCENT; ADULT; AGE; ARTICLE; CHILD; ETHNICITY; EXECUTIVE FUNCTION; FEMALE; GENDER; HUMAN; MAJOR CLINICAL STUDY; MALE; NEUROPSYCHOLOGICAL TEST; NIH TOOLBOX COGNITION BATTERY; PRESCHOOL CHILD; PRIORITY JOURNAL; RACE; SCHOOL CHILD; SOCIAL STATUS; TASK PERFORMANCE; YOUNG ADULT;

ADOLESCENT; ADULT; AGE FACTORS; CHILD; CHILD, PRESCHOOL; FEMALE; HUMANS; MALE; NEUROPSYCHOLOGICAL TESTS; SOCIOECONOMIC FACTORS; YOUNG ADULT;

EID: 84891481424     PISSN: 08944105     EISSN: 19311559     Source Type: Journal    
DOI: 10.1037/neu0000061     Document Type: Erratum

References (39)

1. Akshoomoff, N. (2002). Selective attention and active engagement in young children. Developmental Neuropsychology, 22, 625-642.
2. Alexander, D. H., Novembre, J., & Lange, K. (2009). Fast model-based estimation of ancestry in unrelated individuals. Genome Research, 19, 1655-1664.
3. Altshuler, D. M., Gibbs, R. A., Peltonen, L., Altshuler, D. M., Gibbs, R. A., Peltonen, L.,... McEwen, J. E. (2010). Integrating common and rare genetic variation in diverse human populations. Nature, 467, 52-58.
4. Bakken, T. E., Roddey, J. C., Djurovic, S., Akshoomoff, N., Amaral, D. G., Bloss, C. S.,... Carlson, H. (2012). Association of common genetic variants in GPCPD1 with scaling of visual cortical surface area in humans. Proceedings of the National Academy of Sciences of the United States of America, 109, 3985-3990.
5. Bauer, P. J., Dikman, S. S., Heaton, R. K., Mungas, D., Slotkin, J., & Beaumont, J. L. (2013). iii. NIH Toolbox Cognition Battery (cb): measuring episodic memory. Monographs of the Society for Research in Child Development, 78, 34-48.
6. Beck, D. M., Schaefer, C., Pang, K., & Carlson, S. M. (2011). Executive Function in Preschool Children: Test-Retest Reliability. Journal of Cognitive Development, 12, 169-193.
7. Breslau, N., Chilcoat, H. D., Susser, E. S., Matte, T., Liang, K. Y., & Peterson, E. L. (2001). Stability and change in children's intelligence quotient scores: A comparison of two socioeconomically disparate communities. American Journal of Epidemiology, 154, 711-717.
8. Brown, T. T., Kuperman, J. M., Chung, Y., Erhart, M., McCabe, C., Hagler, D. J., Jr.,... Dale, A. M. (2012). Neuroanatomical assessment of biological maturity. Current Biology, 22, 1693-1698.
9. Cann, H. M., de Toma, C., Cazes, L., Legrand, M. F., Morel, V., Piouffre, L.,... Cavalli-Sforza, L. L. (2002). A human genome diversity cell line panel. Science, 296, 261-262.
10. Casey, B. J., Tottenham, N., Liston, C., & Durston, S. (2005). Imaging the developing brain: What have we learned about cognitive development? Trends in Cognitive Science, 9, 104-110.
11. Cirino, P. T., Chin, C. E., Sevcik, R. A., Wolf, M., Lovett, M., & Morris, R. D. (2002). Measuring socioeconomic status: Reliability and prelim-inary validity for different approaches. Assessment, 9, 145-155.
12. Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Hillsdale, NJ: Psychology Press.
13. Eriksen, B. A., & Eriksen, C. W. (1974). Effects of noise letters upon the identification of a target letter in a nonsearch task. Perception & Psychophysics, 16, 143-149.
14. Fjell, A. M., Walhovd, K. B., Brown, T. T., Kuperman, J. M., Chung, Y., Hagler, D. J., Jr.,... Dale, A. M. (2012). Multimodal imaging of the self-regulating developing brain. Proceedings of the National Academy of Sciences of the United States of America, 109, 19620-19625.
15. Fjell, A. M., Walhovd, K. B., Westlye, L. T., Østby, Y., Tamnes, C. K., Jernigan, T. L.,... Dale, A. M. (2010). When does brain aging accelerate? Dangers of quadratic fits in cross-sectional studies. Neuro-Image, 50, 1376-1383.
16. Gershon, R. C., Cella, D., Fox, N. A., Havlik, R. J., Hendrie, H. C., & Wagster, M. V. (2010). Assessment of neurological and behavioural function: The NIH Toolbox. The Lancet Neurology, 9, 138-139.
17. Gershon, R. C., Slotkin, J., Manly, J. J., Blitz, D. L., Beaumont, J. L., Schnipke, D.,... Weintraub, S. (2013). iv. NIH Toolbox Cognition Battery (cb): measuring language (vocabulary comprehension and reading decoding). Monographs of the Society for Research in Child Development, 78, 49-69.
18. Hastie, T., & Tibshirani, R. (1986). Generalized additive models. Statistical Science, 1, 297-310.
19. Hastie, T., & Tibshirani, R. (1990). Generalized Additive Models. London, UK: Chapman and Hall.
20. Heaton, R. K., Miller, S. W., Taylor, J. T., & Grant, I. (2004). Revised comprehensive norms for an expanded Halstead-Reitan battery: Demographically adjusted neuropsychological norms for African American and Caucasian adults. Lutz, FL: Psychological Assessment Resources, Inc.
21. Heaton, R. K., Taylor, M. J., & Manly, J. (2003). Demographic effects and use of demographically corrected norms with the WAIS-III and WMS III. In D. S. Tulsky, D. H. Saklofske, G. J. Chelune, R. K. Heaton, R. J. Ivnik, R. Bornstein, A. Prifitera, & M. F. Ledbetter (Eds.), Clinical interpretation of the WAIS-III and WMS-III (pp. 181-210). San Diego, CA: Academic Press.
22. Jernigan, T. L., Baare, W. F., Stiles, J., & Madsen, K. S. (2011). Postnatal brain development: Structural imaging of dynamic neurodevelopmental processes. Progress in Brain Research, 189, 77-92.
23. Linacre, J. M. (2005). A user's guide to WINSTEPS/MINISTEP: Rasch-Model computer programs. Chicago, IL: Winsteps.
24. Mezzacappa, E. (2004). Alerting, orienting, and executive attention: Developmental properties and sociodemographic correlates in an epidemiological sample of young, urban children. Child Development, 75, 1373-1386.
25. Nelson, M. R., Bryc, K., King, K. S., Indap, A., Boyko, A. R., Novembre, J.,... Lai, E. H. (2008). The Population Reference Sample, POPRES: A resource for population, disease, and pharmacological genetics research. American Journal of Human Genetics, 83, 347-358.
26. Noble, K. G., McCandliss, B. D., & Farah, M. J. (2007). Socioeconomic gradients predict individual differences in neurocognitive abilities. Developmental Science, 10, 464 - 480.
27. Rueda, M. R., Fan, J., McCandliss, B. D., Halparin, J. D., Gruber, D. B., Lercari, L. P., & Posner, M. I. (2004). Development of attentional networks in childhood. Neuropsychologia, 42, 1029-1040.
28. Selya, A. S., Rose, J. S., Dierker, L. C., Hedeker, D., & Mermelstein, R. J. (2012). A practical guide to calculating Cohen's f(2), a measure of local effect size, from PROC MIXED. Frontiers in Quantitative Psychology and Measurement, 3, 111.
29. Tulsky, D. S., Carlozzi, N. E., Chevalier, N., Espy, K. A., Beaumont, J. L., & Mungas, D. (2013). v. NIH Toolbox Cognition Battery (cb): measuring working memory. Monographs of the Society for Research in Child Development, 78, 70-87.
30. Waber, D. P., Carlson, D., Mann, M., Merola, J., & Moylan, P. (1984). SES-related aspects of neuropsychological performance. Child Development, 55, 1878-1886.
31. Waber, D. P., De Moor, C., Forbes, P. W., Almli, C. R., Botteron, K. N., Leonard, G.,... Rumsey, J. (2007). The NIH MRI study of normal brain development: Performance of a population based sample of healthy children aged 6 to 18 years on a neuropsychological battery. Journal of the International Neuropsychological Society, 13, 729 -746.
32. Waber, D. P., Forbes, P. W., Almli, C. R., & Blood, E. A. (2012). Four-year longitudinal performance of a population-based sample of healthy children on a neuropsychological battery: The NIH MRI study of normal brain development. Journal of the International Neuropsychological Society, 18, 179-190.
33. Walhovd, K. B., Fjell, A. M., Brown, T. T., Kuperman, J. M., Chung, Y., Hagler, D. J., Jr.,... Dale, A. M. (2012). Long-term influence of normal variation in neonatal characteristics on human brain development. Proceedings of the National Academy of Sciences of the United States of America, 109, 20089-20094.
34. Weintraub, S., Bauer, P. J., Zelazo, P. D., Wallner-Allen, K., Dikmen, S. S.,... Gershon, R. C. (2013). i. NIH Toolbox Cognition Battery (cb): introduction and pediatric data. Monographs of the Society for Research in Child Development, 78, 1-15.
35. Weintraub, S., Dikman, S. S., Heaton, R. K., Tulsky, D. S., Zelazo, P. D., Bauer, P. J.,... Gershon, R. (2013). Cognition assessment using the NIH Toolbox. Neurology, 80(Suppl 3), S54-64.
36. Wood, S. N. (2006). Generalized additive models: An introduction with R. Boca Raton, FL: Chapman & Hall/CRC.
37. Xing, J., Zhang, Y., Han, K., Salem, A. H., Sen, S. K., Huff, C. D.,... Jorde, L. B. (2009). Mobile elements create structural variation: Analysis of a complete human genome. Genome Research, 19, 1516-1526.
38. Zelazo, P. D. (2006). The Dimensional Change Card Sort (DCCS): A method of assessing executive function in children. Nature Protocols, 1, 297-301.
39. Zelazo, P. D., Anderson, J. E., Richler, J., Wallner-Allen, K., Beaumont, J. L., & Weintraub, S. (2013). ii. NIH Toolbox Cognition Battery (cb): measuing executive function and attention. Monographs of the Society for Research in Child Development, 78, 16-33.