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Psychometric Properties of the Penn Computerized Neurocognitive Battery
Open accessAbstract
OBJECTIVE: The Penn Computerized Neurocognitive Battery (CNB) was designed to measure performance accuracy and speed on specific neurobehavioral domains using tests that were previously validated with functional neuroimaging. The goal of the present study was to evaluate the neuropsychological theory used to construct the CNB by confirming the factor structure of the tests composing it. METHOD: In a large community sample (N = 9,138; age range 8-21), we performed a correlated-traits confirmatory factor analysis (CFA) and multiple exploratory factor analyses (EFAs) on the 12 CNB measures of Efficiency (which combine Accuracy and Speed). We then performed EFAs of the Accuracy and Speed measures separately. Finally, we performed a confirmatory bifactor analysis of the Efficiency scores. All analyses were performed with Mplus using maximum likelihood estimation. RESULTS: RESULTS strongly support the a priori theory used to construct the CNB, showing that tests designed to measure executive, episodic memory, complex cognition, and social cognition aggregate their loadings within these domains. When Accuracy and Speed were analyzed separately, Accuracy produced 3 reliable factors: executive and complex cognition, episodic memory, and social cognition, while speed produced 2 factors: tests that require fast responses and those where each item requires deliberation. The statistical "Fit" of almost all models described above was acceptable (usually excellent). CONCLUSIONS: Based on the analysis from these large-scale data, the CNB offers an effective means for measuring the integrity of intended neurocognitive domains in about 1 hour of testing and is thus suitable for large-scale clinical and genomic studies.
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“This battery was built to be highly-reliable, psychometrically-robust, and to incorporate tasks linked to specific brain systems.”
From Global Ancestry and Cognitive Ability (2019) · cites this paper as [68]
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Cites
Hu, L., & Bentler, P. M. (1999) · Structural Equation Modeling A Multidisciplinary Journal · doi:10.1080/10705519909540118 · Cited by 108,788
A Rationale and Test for the Number of Factors in Factor Analysis
Horn, J. L. (1965) · Psychometrika · doi:10.1007/bf02289447 · Cited by 8,965
Individual differences in working memory and reading
Daneman, M., & Carpenter, P. A. (1980) · Journal of Verbal Learning and Verbal Behavior · doi:10.1016/s0022-5371(80)90312-6 · Cited by 6,336
(1998) · Cited by 4,172
(2000) · Cited by 4,106
Self-citationGosling, S. D., Vazire, S., Srivastava, S., & John, O. P. (2004) · American Psychologist · doi:10.1037/0003-066x.59.2.93 · Cited by 2,932
The Human Connectome Project: A data acquisition perspective
Essen, D. C. V., Uǧurbil, K., Auerbach, E. J., Barch, D. M., Behrens, T. E. J., Bucholz, R. D., Chang, A., Chen, L., Corbetta, M., Curtiss, S. W., et al. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.02.018 · Cited by 2,638
The Rediscovery of Bifactor Measurement Models
Reise, S. P. (2012) · Multivariate Behavioral Research · doi:10.1080/00273171.2012.715555 · Cited by 2,112 · cited 2×
“Another convenient development in methodology that will help with the exploration of validity is the recent adoption by many researchers of the bifactor model itself (See Reise, 2012).”
Self-citationThe Raven's Progressive Matrices: Change and Stability over Culture and Time
Raven, J. (2000) · Cognitive Psychology · doi:10.1006/cogp.1999.0735 · Cited by 1,560
(2012) · Springer eBooks · doi:10.1007/springerreference_183812 · Cited by 1,218
Reise, S. P., Moore, T. M., & Haviland, M. G. (2010) · Journal of Personality Assessment · doi:10.1080/00223891.2010.496477 · Cited by 1,196
Self-citationPaulson, O. B., Strandgaard, S., & Edvinsson, L. (1990) · PubMed · Cited by 1,093
Benton, A. L. (1978) · Archives of Neurology · doi:10.1001/archneur.1978.00500300038006 · Cited by 1,026
A Comparison of Bifactor and Second-Order Models of Quality of Life
Chen, F. F., West, S., & Sousa, K. (2006) · Multivariate Behavioral Research · doi:10.1207/s15327906mbr4102_5 · Cited by 955
Peres‐Neto, P. R., Jackson, D. A., & Somers, K. M. (2004) · Computational Statistics & Data Analysis · doi:10.1016/j.csda.2004.06.015 · Cited by 836
Holzinger, K. J., & Swineford, F. (1937) · Psychometrika · doi:10.1007/bf02287965 · Cited by 771
Computing and evaluating factor scores.
Grice, J. W. (2001) · Psychological Methods · doi:10.1037/1082-989x.6.4.430 · Cited by 653
Gur, R. C., Richard, J., Hughett, P., Calkins, M. E., Macy, L., Bilker, W. B., Brensinger, C., & Gur, R. E. (2010) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2009.11.017 · Cited by 528
Self-citationGur, R. C., Richard, J., Calkins, M. E., Chiavacci, R., Hansen, J. A., Bilker, W. B., Loughead, J., Connolly, J. J., Qiu, H., Mentch, F. D., et al. (2012) · Neuropsychology · doi:10.1037/a0026712 · Cited by 507
Self-citationAPPLICATION OF COMPUTERIZED ADAPTIVE TESTING TO EDUCATIONAL PROBLEMS
WEISS, D. J., & KINGSBURY, G. G. (1984) · Journal of Educational Measurement · doi:10.1111/j.1745-3984.1984.tb01040.x · Cited by 501
Computerized Neurocognitive Scanning: I. Methodology and Validation in Healthy People
Gur, R. C. (2001) · Neuropsychopharmacology · doi:10.1016/s0893-133x(01)00278-0 · Cited by 399
Self-citationInitial Heritability Analyses of Endophenotypic Measures for Schizophrenia
Greenwood, T. A., BRAFF, D. L., Light, G. A., Cadenhead, K. S., Calkins, M. E., Dobie, D. J., Freedman, R., Green, M. F., Gur, R. E., Gur, R. C., et al. (2007) · Archives of General Psychiatry · doi:10.1001/archpsyc.64.11.1242 · Cited by 382
Self-citationGrant, P. M. (2011) · Archives of General Psychiatry · doi:10.1001/archgenpsychiatry.2011.129 · Cited by 364
Measuring the mind conceptual issues in contemporary psychometrics
Borsboom, D. (2005) · Cited by 332
CEREBRAL METABOLIC CHANGES DURING PROLONGED EPILEPTIC SEIZURES IN RATS
Chapman, A. G., Meldrum, B. S., & Siesiö, B. K. (1977) · Journal of Neurochemistry · doi:10.1111/j.1471-4159.1977.tb10665.x · Cited by 318
Endophenotypes: Bridging Genomic Complexity and Disorder Heterogeneity
Insel, T. R., & Cuthbert, B. N. (2009) · Biological Psychiatry · doi:10.1016/j.biopsych.2009.10.008 · Cited by 273
Neurocognitive Endophenotypes in a Multiplex Multigenerational Family Study of Schizophrenia
Gur, R. E., Nimgaonkar, V. L., Almasy, L. A., Calkins, M. E., Ragland, J. D., Pogue‐Geile, M. F., Kanes, S., Blangero, J., & Gur, R. C. (2007) · American Journal of Psychiatry · doi:10.1176/ajp.2007.164.5.813 · Cited by 273
Self-citationGreenwood, T. A., Lazzeroni, L. C., Murray, S. S., Cadenhead, K. S., Calkins, M. E., Dobie, D. J., Green, M. F., Gur, R. E., Gur, R. C., Hardiman, G., et al. (2011) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2011.10050723 · Cited by 257
Self-citationFlat affect in schizophrenia: relation to emotion processing and neurocognitive measures.
Gur, R., Kohler, C., Ragland, J., Siegel, S., Lesko, K., Bilker, W., & Gur, R. (2006) · Schizophrenia bulletin · doi:10.1093/schbul/sbj041 · Cited by 252
Self-citationCEREBRAL ENERGY METABOLISM DURING EXPERIMENTAL STATUS EPILEPTICUS 1
Duffy, T. E., Howse, D. C., & Plum, F. (1975) · Journal of Neurochemistry · doi:10.1111/j.1471-4159.1975.tb03657.x · Cited by 220
Calkins, M. E., Moore, T., Merikangas, K., Burstein, M., Satterthwaite, T., Bilker, W., Ruparel, K., Chiavacci, R., Wolf, D., Mentch, F., et al. (2014) · World Psychiatry · doi:10.1002/wps.20152 · Cited by 216
Self-citationImpaired Recognition of Facial Expressions of Emotion in Alzheimer's Disease
Hargrave, R., Maddock, R. J., & Stone, V. (2002) · Journal of Neuropsychiatry · doi:10.1176/jnp.14.1.64 · Cited by 183
Raven, J. (1989) · Journal of Educational Measurement · doi:10.1111/j.1745-3984.1989.tb00314.x · Cited by 178
Choi, S. W. (2009) · Applied Psychological Measurement · doi:10.1177/0146621608329892 · Cited by 175
Visual Selective Attention and Reading Efficiency are Related in Children
Casco, C., Tressoldi, P. E., & Dellantonio, A. (1998) · Cortex · doi:10.1016/s0010-9452(08)70512-4 · Cited by 170
Determining the Number of Factors in Exploratory and Confirmatory Factor Analysis
Hoyle, R. H., & Duvall, J. L. (2004) · Sage eBooks · doi:10.4135/9781412986311.n16 · Cited by 125
Neural underpinnings of dyslexia as a disorder of visuo‐spatial attention
Vidyasagar, T. R. (2004) · Clinical and Experimental Optometry · doi:10.1111/j.1444-0938.2004.tb03138.x · Cited by 107
Neurobehavioral Probes for Physiologic Neuroimaging Studies
Gur, R. C. (1992) · Archives of General Psychiatry · doi:10.1001/archpsyc.1992.01820050073013 · Cited by 104
Self-citationIncidental Findings in Youths Volunteering for Brain MRI Research
Gur, R., Kaltman, D., Melhem, E., Ruparel, K., Prabhakaran, K., Riley, M., Yodh, E., Hakonarson, H., Satterthwaite, T., & Gur, R. C. (2013) · American Journal of Neuroradiology · doi:10.3174/ajnr.a3525 · Cited by 83
Self-citationEmotion-Discrimination Deficits in Mild Alzheimer Disease
Kohler, C. G. (2005) · American Journal of Geriatric Psychiatry · doi:10.1176/appi.ajgp.13.11.926 · Cited by 79
A Genome Screen for Quantitative Trait Loci Influencing Schizophrenia and Neurocognitive Phenotypes
Almasy, L. A., Gur, R. C., Haack, K., Cole, S. A., Calkins, M. E., Peralta, J. M., Hare, E., Prasad, K., Pogue‐Geile, M. F., Nimgaonkar, V. L., et al. (2008) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2008.07121869 · Cited by 69
Self-citationWhite matter organization and neurocognitive performance variability in schizophrenia
Roalf, D. R., Ruparel, K., Verma, R., Elliott, M. A., Gur, R. E., & Gur, R. C. (2012) · Schizophrenia Research · doi:10.1016/j.schres.2012.10.014 · Cited by 60
Self-citationVisual memory as a potential cognitive endophenotype of attention deficit hyperactivity disorder
Shang, C., & Gau, S. (2011) · Psychological Medicine · doi:10.1017/s0033291711000857 · Cited by 45
Aliyu, M. H., Calkins, M. E., Swanson, C. L., Lyons, P. D., Savage, R. M., May, R., Wiener, H. W., Devlin, B., Nimgaonkar, V. L., Ragland, J. D., et al. (2006) · Schizophrenia Research · doi:10.1016/j.schres.2006.06.027 · Cited by 38
Self-citationKurtz, M. J. (2003) · Schizophrenia Research · doi:10.1016/s0920-9964(03)00179-8 · Cited by 34
Thomas, M. L., Brown, G. G., Gur, R. C., Hansen, J. A., Nock, M. K., Heeringa, S. G., Ursano, R. J., & Stein, M. B. (2013) · Journal of Clinical and Experimental Neuropsychology · doi:10.1080/13803395.2012.762974 · Cited by 22
Self-citation
Flagged first, then by citations
Research works printed but not linked: 5
- Duffy TE Howse DC Plum F Cerebral energy metabolism during experimental status epilepticus Journal of Neurochemistry 1975 24 5 925 934 237981
- Larrabee GJ Kane RL Schuck JR Factor analysis of the WAIS and Wechsler Memory Scale: An analysis of the construct validity of the Wechsler Memory Scale Journal of Clinical and Experimental Neuropsychology 1983 5 2 159 168 6863562
- Passolunghi MC Lanfranchi S Domain-specific and domain-general precursors of mathematical achievement: A longitudinal study from kindergarten to first grade British Journal of Educational Psychology 2012 82 1 42 63 22429058
- Raven J Raven JC Court JH Manual Section 1. General Overview (1998 Edition, Updated 2003) 2003 Pearson Assessment San Antonio, TX
- Thurstone LL Multiple-factor analysis 1947 University of Chicago Press Chicago
Cited by
Sorted by citations
The NASA Twins Study: A multidimensional analysis of a year-long human spaceflight
Garrett-Bakelman, F. E., Darshi, M., Green, S. J., Gur, R. C., Lin, L., Macias, B. R., McKenna, M. J., Meydan, C., Mishra, T., Nasrini, J., et al. (2019) · Science · doi:10.1126/science.aau8650 · Cited by 1,128
Self-citationTask-induced brain state manipulation improves prediction of individual traits
Greene, A. S., Gao, S., Scheinost, D., & Constable, R. T. (2018) · Nature Communications · doi:10.1038/s41467-018-04920-3 · Cited by 498
Baum, G. L., Ciric, R., Roalf, D. R., Betzel, R. F., Moore, T. M., Shinohara, R. T., Kahn, A. E., Vandekar, S. N., Rupert, P. E., Quarmley, M., et al. (2017) · Current Biology · doi:10.1016/j.cub.2017.04.051 · Cited by 401
Self-citationSatterthwaite, T. D., Connolly, J. J., Ruparel, K., Calkins, M. E., Jackson, C., Elliott, M. A., Roalf, D. R., Hopson, R., Prabhakaran, K., Behr, M., et al. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2015.03.056 · Cited by 335
Self-citationA distributed brain network predicts general intelligence from resting-state human neuroimaging data
Dubois, J., Galdi, P., Paul, L. K., & Adolphs, R. (2018) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2017.0284 · Cited by 328
Metadata
- Authors
- Moore, T. M., Reise, S. P., Gur, R. E., Hakonarson, H., & Gur, R. C.
- Affiliations
- University of Pennsylvania (US)
- University of California, Los Angeles (US)
- Children's Hospital of Philadelphia (US)
- Venue
- Neuropsychology
- Published
- 2015-03
- Volume
- 29
- Issue
- 2
- Pages
- 235-246
- ISSN
- 0894-4105 (ISSN-L)
- 1931-1559
- PMC
- PMC4345134
- OpenAlex
- W2005900392
- Cited by
- 325
- References
- 46
- Citations by year
- 2026: 28 · 2025: 26 · 2024: 30 · 2023: 32 · 2022: 42 · 2021: 40 · 2020: 33 · 2019: 28 · 2018: 26 · 2017: 21 · 2016: 10 · 2015: 8
- FWCI
- 15.78
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Neuropsychology (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institute of Mental Health (MH089983, MH089924, MH019112)
- Topics
- Social Sciences › Psychology › Clinical Psychology › Historical and Modern Theater Studies
- Social Sciences › Psychology › Applied Psychology › Psychological Testing and Assessment
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Cognitive Abilities and Testing
- Keywords
- factor structure, executive function, episodic memory, complex cognition, social cognition, neuropsychological theory, bifactor analysis, computerized cognitive assessment
- MeSH terms
- Adolescent, Child, Cognition, Cognition Disorders, Female, Humans, Male, Neuropsychological Tests, Psychometrics, Reaction Time, Young Adult, Memory, Episodic
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