The DOI matches its Crossref record.
Human Cognitive Abilities: A Survey of Factor-Analytic Studies
Abstract
This 1993 work surveys and summarizes the results of more than seventy years of investigation, by factor analysis, of a variety of cognitive abilities, with particular attention to language, thinking, memory, visual and auditory perception, creativity and the production of ideas, and the speed and accuracy of mental processing. The author describes his detailed findings resulting from reanalysis of more than 460 data sets from the factor-analytic literature, followed by a presentation of a hierarchical, three-stratum theory of cognitive ability and its implications for further research. A set of three computer disks (IBM 3-1/2" 1.4 megabytes, ASCII format) containing the numerical data sets and Dr. Carroll's statistical results is also available. Representing over 4 megabytes of data or roughly 2000 printed pages the disks are major resources for the interested researcher.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Any cognitive testing was assessed in terms of its true cognitive ability, as described by Carroll (1993) [24].”
From Systematic Overview of Bacopa monnieri (L.) Wettst. Dominant Poly-Herbal Formulas in Children and Adolescents (2017) · cites this paper as [24]
In the citing paper
“the variance common across cognitive tasks can be modeled as a latent factor denoted as g (the general factor of intelligence) 9,10”
From Genome-wide association meta-analysis in 269,867 individuals identifies new genetic and functional links to intelligence (2018) · cites this paper as [9]
In the citing paper
“Furthermore, the present results are consistent with Carroll's (1993) assertion that CHC theory is a universal theory of intelligence and applicable to different gender and ethnic groups.”
From Is the Cattell–Horn–Carroll-based factor structure of the Wechsler Intelligence Scale for Children—Fifth Edition (WISC-V) construct invariant for a representative sample of African–American, Hispanic, and Caucasian male and female students ages 6 to 16 years? (2016) · cites this paper as Carroll's (1993)
In the citing paper
“Carroll (1962Carroll ( , 1981Carroll ( , 1990Carroll ( , 1993) ) conceptualized the FL aptitude construct as comprising four distinct and measurable abilities: PHONETIC CODING ABILITY, GRAMMATICAL SENSITIVITY, INDUCTIVE LANGUAGE LEARNING ABILITY and ASSOCIATIVE MEMORY”
From Foreign language aptitude theory: Yesterday, today and tomorrow (2017) · cites this paper as Carroll 1993
In the citing paper
“To begin with, 'FL aptitude' should be considered an umbrella term consisting of a set of COGNITIVE abilities, thus making it a COMPONENTIAL concept (Carroll 1981(Carroll , 1993;;Skehan 1998;Sparks et al. 2011).”
From Foreign language aptitude theory: Yesterday, today and tomorrow (2017) · cites this paper as Carroll 1993
In the citing paper
“John Carroll (1993), clearly differentiated the terms 'ability', 'aptitude' and 'achievement'.”
From Foreign language aptitude theory: Yesterday, today and tomorrow (2017) · cites this paper as Carroll 1993
In the citing paper
“However, it slightly differs from Skehan's approach in that it tries to provide a finer-grained representation of the complex structure of human cognitive abilities (Carroll 1993) and also makes clearer reference to specific educational contexts.”
From Foreign language aptitude theory: Yesterday, today and tomorrow (2017) · cites this paper as Carroll 1993
Citations
Cited by
Sorted by citations
Items 301–400 of 1,032
A Theory of Adaptive Intelligence and Its Relation to General Intelligence
Sternberg, R. J. (2019) · Journal of Intelligence · doi:10.3390/jintelligence7040023 · Cited by 206
Morgan, G. B., Hodge, K. J., Wells, K. E., & Watkins, M. W. (2015) · Journal of Intelligence · doi:10.3390/jintelligence3010002 · Cited by 176
Ramful, A., Lowrie, T. J., & Logan, T. (2016) · Journal of Psychoeducational Assessment · doi:10.1177/0734282916659207 · Cited by 179
Robinson, P. (2015) · Task-Based Language Teaching · doi:10.1075/tblt.8.04rob · Cited by 192
White matter microstructure correlates of mathematical giftedness and intelligence quotient
Navas-Sánchez, F. J., Alemán‐Gómez, Y., Sánchez‐Gonzalez, J., Guzmán‐De‐Villoria, J. A., Franco, C., Robles, O., Arango, C., & Desco, M. (2013) · Human Brain Mapping · doi:10.1002/hbm.22355 · Cited by 207
The role of memory in creative ideation
Benedek, M., Beaty, R. E., Schacter, D. L., & Kenett, Y. N. (2023) · Nature Reviews Psychology · doi:10.1038/s44159-023-00158-z · Cited by 202
Murphy, K. R. (2005) · Human Performance · doi:10.1207/s15327043hup1804_2 · Cited by 189
A polygenic p factor for major psychiatric disorders
Selzam, S., Coleman, J. R. I., Caspi, A., Moffitt, T. E., & Plomin, R. J. (2018) · Translational Psychiatry · doi:10.1038/s41398-018-0217-4 · Cited by 180
Self-confidence and performance on tests of cognitive abilities
Stankov, L., & Crawford, J. D. (1997) · Intelligence · doi:10.1016/s0160-2896(97)90047-7 · Cited by 176
Schmiedek, F., Lövdén, M., & Lindenberger, U. (2014) · Frontiers in Psychology · doi:10.3389/fpsyg.2014.01475 · Cited by 173
Memory span and general intelligence: A latent-variable approach
Colom, R., Abad, F. J., Rebollo, I., & Shih, P. C. (2005) · Intelligence · doi:10.1016/j.intell.2005.05.006 · Cited by 172
Metalinguistic Knowledge and Language Ability in University-Level L2 Learners
Roehr, K. (2007) · Applied Linguistics · doi:10.1093/applin/amm037 · Cited by 199
Harris, S. E., Fox, H. C., Wright, A. F., Hayward, C., Starr, J. M., Whalley, L. J., & Deary, I. J. (2006) · Molecular Psychiatry · doi:10.1038/sj.mp.4001799 · Cited by 173
Teaching Students to Solve Insight Problems: Evidence for Domain Specificity in Creativity Training
Dow, G. T., & Mayer, R. E. (2004) · Creativity Research Journal · doi:10.1080/10400410409534550 · Cited by 218
Berney, S., Bétrancourt, M., Molinari, G., & Hoyek, N. (2015) · Anatomical Sciences Education · doi:10.1002/ase.1524 · Cited by 171
A Bifactor Approach to Modeling the Structure of the Psychopathy Checklist-Revised
Patrick, C. J., Hicks, B. M., Nichol, P. E., & Krueger, R. F. (2007) · Journal of Personality Disorders · doi:10.1521/pedi.2007.21.2.118 · Cited by 170
Cognitive Profile of Students Who Enter Higher Education with an Indication of Dyslexia
Callens, M., Tops, W., & Brysbaert, M. (2012) · PLoS ONE · doi:10.1371/journal.pone.0038081 · Cited by 168
Decomposing age correlations on neuropsychological and cognitive variables
Salthouse, T. A. (2009) · Journal of the International Neuropsychological Society · doi:10.1017/s1355617709990385 · Cited by 180
ACCEL: A New Model for Identifying the Gifted
Sternberg, R. J. (2017) · Roeper Review · doi:10.1080/02783193.2017.1318658 · Cited by 199
The Stability of Intelligence From Age 11 to Age 90 Years
Deary, I. J., Pattie, A., & Starr, J. M. (2013) · Psychological Science · doi:10.1177/0956797613486487 · Cited by 166
Is Spatial Ability Related to Mathematical Ability: a Meta-analysis
Fang, X., Zhang, L., Chen, X., & Xin, Z. (2019) · Educational Psychology Review · doi:10.1007/s10648-019-09496-y · Cited by 202
Ferrer, E., & McArdle, J. J. (2004) · Developmental Psychology · doi:10.1037/0012-1649.40.6.935 · Cited by 160
Spatial Cognition in Autism Spectrum Disorders: Superior, Impaired, or Just Intact?
Edgin, J. O., & Pennington, B. F. (2005) · Journal of Autism and Developmental Disorders · doi:10.1007/s10803-005-0020-y · Cited by 183
Cattell-horn-carroll abilities and cognitive tests: What we've learned from 20 years of research
Keith, T. Z., & Reynolds, M. R. (2010) · Psychology in the Schools · doi:10.1002/pits.20496 · Cited by 179
Brain structure, cognition, and brain age in schizophrenia, bipolar disorder, and healthy controls
Shahab, S., Mulsant, B. H., Lévesque, M. L., Calarco, N., Nazeri, A., Wheeler, A. L., Foussias, G., Rajji, T. K., & Voineskos, A. N. (2018) · Neuropsychopharmacology · doi:10.1038/s41386-018-0298-z · Cited by 170
Individual Differences in Reasoning: Implications for the Rationality Debate?
Stanovich, K. E., & West, R. F. (2002) · Cambridge University Press eBooks · doi:10.1017/cbo9780511808098.026 · Cited by 178
Test Review: Wechsler Intelligence Scale for Children, Fourth Edition (WISC-IV)
Kaufman, A. S., Flanagan, D. P., Alfonso, V. C., & Mascolo, J. T. (2006) · Journal of Psychoeducational Assessment · doi:10.1177/0734282906288389 · Cited by 164
Contextual analysis of fluid intelligence
Salthouse, T. A., Pink, J. E., & Tucker–Drob, E. M. (2007) · Intelligence · doi:10.1016/j.intell.2007.10.003 · Cited by 166
Is education associated with improvements in general cognitive ability, or in specific skills?
Ritchie, S. J., Bates, T. C., & Deary, I. J. (2015) · Developmental Psychology · doi:10.1037/a0038981 · Cited by 179
Interference and inhibition in cognition and behavior: unifying themes for educational psychology.
Dempster, F. N., & Corkill, A. J. (1999) · Educational Psychology Review · doi:10.1023/a:1021992632168 · Cited by 163
LaRusso, M. D., Kim, H. Y., Selman, R. L., Uccelli, P., Dawson, T. L., Jones, S. M., Donovan, S., & Snow, C. E. (2016) · Journal of Research on Educational Effectiveness · doi:10.1080/19345747.2015.1116035 · Cited by 180
Inside the Planning Fallacy: The Causes and Consequences of Optimistic Time Predictions
Buehler, R., Griffin, D., & Ross, M. (2002) · Cambridge University Press eBooks · doi:10.1017/cbo9780511808098.016 · Cited by 169
Lohman, D. F. (2005) · Gifted Child Quarterly · doi:10.1177/001698620504900203 · Cited by 182
Stanovich, K. E. (2012) · The Oxford Handbook of Thinking and Reasoning · doi:10.1093/oxfordhb/9780199734689.013.0022 · Cited by 169
Cognitive mediators and sex-related differences in mathematics
Delgado, A. R., & Prieto, G. (2003) · Intelligence · doi:10.1016/s0160-2896(03)00061-8 · Cited by 161
van der Stel, M., & Veenman, M. V. J. (2013) · European Journal of Psychology of Education · doi:10.1007/s10212-013-0190-5 · Cited by 160
A Dual Coding View of Vocabulary Learning
Sadoski, M. (2005) · Reading & Writing Quarterly · doi:10.1080/10573560590949359 · Cited by 161
Creativity and Narrative Task Performance: An Exploratory Study
Albert, Á., & Kormos, J. (2004) · Language Learning · doi:10.1111/j.1467-9922.2004.00256.x · Cited by 170
Relevance of education and intelligence at the national level for the economic welfare of people
Rindermann, H. (2007) · Intelligence · doi:10.1016/j.intell.2007.02.002 · Cited by 162
Simple information Processing and Intelligence
Deary, I. J. (2000) · Cambridge University Press eBooks · doi:10.1017/cbo9780511807947.014 · Cited by 159
Taiwanese Chinese people's conceptions of intelligence
Yang, S., & Sternberg, R. J. (1997) · Intelligence · doi:10.1016/s0160-2896(97)90005-2 · Cited by 158
Veenman, M. V. J., & Elshout, J. J. (1999) · European Journal of Psychology of Education · doi:10.1007/bf03172976 · Cited by 156
Genetic variation, brain, and intelligence differences
Deary, I. J., Cox, S. R., & Hill, W. D. (2022) · Molecular Psychiatry · doi:10.1038/s41380-021-01027-y · Cited by 137
“For example, John Carroll re-analysed correlation matrices of diverse cognitive tests from 400+ studies conducted in the 20th century [5].”
BackgroundInfluentialPredicting vigilance: A fresh look at an old problem
Finomore, V., Matthews, G., Shaw, T. H., & Warm, J. (2009) · Ergonomics · doi:10.1080/00140130802641627 · Cited by 147
Spiritual Intelligence or Spiritual Consciousness?
Mayer, J. D. (2000) · International Journal for the Psychology of Religion · doi:10.1207/s15327582ijpr1001_5 · Cited by 172
Mental Contamination and the Debiasing Problem
Wilson, T. D., Centerbar, D. B., & Brekke, N. (2002) · Heuristics and Biases · doi:10.1017/cbo9780511808098.012 · Cited by 160
Sternberg, R. J., Costa, J. L. C., Prieto, M. D., Hautamäki, J., & Grigorenko, E. L. (2001) · European Journal of Psychological Assessment · doi:10.1027//1015-5759.17.1.1 · Cited by 166
Examining the relations between spatial skills and mathematical performance: A meta-analysis
Atit, K., Power, J., Pigott, T., Lee, J., Geer, E. A., Uttal, D. H., Ganley, C. M., & Sorby, S. (2021) · Psychonomic Bulletin & Review · doi:10.3758/s13423-021-02012-w · Cited by 202
Genetic Covariance Among Measures of Information Processing Speed, Working Memory, and IQ
Michelle Luciano, A., Wright, M. J., Smith, G. A., Geffen, G. M., Geffen, L. B., & Martin, N. G. (2001) · Behavior Genetics · doi:10.1023/a:1013397428612 · Cited by 154
Differences between novice and experienced users in searching information on the World Wide Web
Lazonder, A. W., Biemans, H. J. A., & Wopereis, I. G. J. H. (2000) · Journal of the American Society for Information Science · doi:10.1002/(sici)1097-4571(2000)51:6 · Cited by 293
Butcher, L. M., Davis, O. S. P., Craig, I., & Plomin, R. J. (2007) · Genes Brain & Behavior · doi:10.1111/j.1601-183x.2007.00368.x · Cited by 155
Reading Comprehension Difficulties
Cain, K., & Oakhill, J. V. (2004) · Springer eBooks · doi:10.1007/978-94-017-1731-1_18 · Cited by 157
Hankin, B. L., Snyder, H. R., Gulley, L. D., Schweizer, T. H., Bijttebier, P., Nelis, S., Toh, G. Y., & Vasey, M. W. (2016) · Development and Psychopathology · doi:10.1017/s0954579416000663 · Cited by 172
Genetic specificity of face recognition
Shakeshaft, N. G., & Plomin, R. (2015) · Proceedings of the National Academy of Sciences of the United States of America · doi:10.1073/pnas.1421881112 · Cited by 141
The Stability of Intelligence From Childhood to Old Age
Deary, I. J. (2014) · Current Directions in Psychological Science · doi:10.1177/0963721414536905 · Cited by 156
Shaw, R. C., & Schmelz, M. (2017) · Animal Cognition · doi:10.1007/s10071-017-1135-1 · Cited by 150
The calibration of expert judgment: heuristics and biases beyond the laboratory
Koehler, D. J., Brenner, L., & Griffin, D. (2002) · Heuristics and Biases · doi:10.1017/cbo9780511808098.041 · Cited by 146
Eilander, A., Gera, T., Sachdev, H. S., Transler, C., van der Knaap, H. C., Kok, F. J., & Osendarp, S. J. (2010) · The American Journal of Clinical Nutrition · doi:10.3945/ajcn.2009.28376 · Cited by 148
Skill Acquisition in Interpreting
Moser‐Mercer, B. (2008) · The Interpreter and Translator Trainer · doi:10.1080/1750399x.2008.10798764 · Cited by 151
Relation of Creativity to Fluid and Crystallized Intelligence
Sligh, A. C., Conners, F. A., & Roskos‐Ewoldsen, B. (2005) · The Journal of Creative Behavior · doi:10.1002/j.2162-6057.2005.tb01254.x · Cited by 151
Relationships between ability and personality: Three hypotheses tested
Austin, E. J., Deary, I. J., & Gibson, G. J. (1997) · Intelligence · doi:10.1016/s0160-2896(97)90007-6 · Cited by 151
Metacognition, abilities, and developing expertise: What makes an expert student?
Sternberg, R. J. (1998) · Instructional Science · doi:10.1023/a:1003096215103 · Cited by 149
Statistical Inference of Minimum Rank Factor Analysis
Shapiro, A., & ten Berge, J. M. F. (2002) · Psychometrika · doi:10.1007/bf02294710 · Cited by 157
Measuring Emotional Intelligence in Early Adolescence With the MSCEIT-YV
Rivers, S. E., Brackett, M. A., Reyes, M. R., Mayer, J. D., Caruso, D. R., & Salovey, P. (2012) · Journal of Psychoeducational Assessment · doi:10.1177/0734282912449443 · Cited by 151
Lowrie, T. J., Logan, T., & Hegarty, M. (2019) · Journal of Cognition and Development · doi:10.1080/15248372.2019.1653298 · Cited by 148
Feelings as Information: Moods Influence Judgments and Processing Strategies
Schwarz, N. (2002) · Cambridge University Press eBooks · doi:10.1017/cbo9780511808098.031 · Cited by 149
Emotional intelligence predicts success in medical school.
Libbrecht, N., Lievens, F., Carette, B., & Côté, S. (2013) · Emotion · doi:10.1037/a0034392 · Cited by 166
Ferrándo, M., Prieto, M. D., Almeida, L. S., García, C. F., Bermejo, R., Pina, J. A. L., Hernández, D., Sáinz, M., & Fernández, M.-C. (2010) · Journal of Psychoeducational Assessment · doi:10.1177/0734282910374707 · Cited by 172
Personnel Selection and Employee Performance
Schmitt, N., Cortina, J. M., Ingerick, M. J., & Wiechmann, D. (2003) · Wiley eBooks · doi:10.1002/0471264385.wei1205 · Cited by 157
Martin, A., Saunders, D. H., Shenkin, S. D., & Sproule, J. (2014) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd009728.pub2 · Cited by 149
McGrew, K. S., Flanagan, D. P., Keith, T. Z., & Vanderwood, M. L. (1997) · School Psychology Review · doi:10.1080/02796015.1997.12085858 · Cited by 149
Cognitive abilities - aspects of structure, process and measurement
Carlstedt, B. (2000) · Cited by 147
Organization of cognitive abilities and neuropsychological variables across the lifespan
SALTHOUSE, T., & DAVIS, H. (2005) · Developmental Review · doi:10.1016/j.dr.2005.09.001 · Cited by 164
Sound credit scores and financial decisions despite cognitive aging
Li, Y., Gao, J., Enkavi, A. Z., Zaval, L., Weber, E. U., & Johnson, E. J. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1413570112 · Cited by 142
Use of Response Time for Measuring Cognitive Ability
Kyllonen, P. C., & Zu, J. (2016) · Journal of Intelligence · doi:10.3390/jintelligence4040014 · Cited by 161
Vipassana meditation: systematic review of current evidence
Chiesa, A. (2010) · The Journal of Alternative and Complementary Medicine · doi:10.1089/acm.2009.0362 · Cited by 142
Mind-reading ability: Beliefs and performance
Realo, A., Allïk, J., Nolvak, A., Valk, R., Ruus, T., Schmidt, M., & Eilola, T. M. (2003) · Journal of Research in Personality · doi:10.1016/s0092-6566(03)00021-7 · Cited by 159
Multimedia-Supported Metaphors for Meaning Making in Mathematics
Moreno, R., & Mayer, R. E. (1999) · Cognition and Instruction · doi:10.1207/s1532690xci1703_1 · Cited by 146
Sternberg, R. J. (2001) · High Ability Studies · doi:10.1080/13598130120084311 · Cited by 142
WAIS-IV and Clinical Validation of the Four- and Five-Factor Interpretative Approaches
Weiss, L. G., Keith, T. Z., Zhu, J., & Chen, H. (2013) · Journal of Psychoeducational Assessment · doi:10.1177/0734282913478030 · Cited by 154
Canivez, G. L., & Watkins, M. W. (2010) · Psychological Assessment · doi:10.1037/a0020429 · Cited by 144
Bühner, M., König, C. J., Pick, M., & Krumm, S. (2006) · Human Performance · doi:10.1207/s15327043hup1903_4 · Cited by 150
Swanson, H. L. (2004) · Memory & Cognition · doi:10.3758/bf03195856 · Cited by 139
Carpenter, N. C., & Berry, C. M. (2014) · Journal of Management · doi:10.1177/0149206314544743 · Cited by 142
The Relationship Between Diverse Components of Intelligence and Creativity
Cho, S. H., Nijenhuis, J. T., Vianen, A. E. M. V., Kim, H., & Lee, K. H. (2010) · The Journal of Creative Behavior · doi:10.1002/j.2162-6057.2010.tb01329.x · Cited by 145
Conceptual Complexity and Construct Validity
McGrath, R. E. (2005) · Journal of Personality Assessment · doi:10.1207/s15327752jpa8502_02 · Cited by 138
Increasing fluid intelligence is possible after all
Sternberg, R. J. (2008) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0803396105 · Cited by 135
Working memory and intelligence
Colom, R., Flores-Mendoza, C. E., & Rebollo, I. (2003) · Personality and Individual Differences · doi:10.1016/s0191-8869(02)00023-5 · Cited by 138
The relationship between trait emotional intelligence and creativity across subject domains
Sánchez-Ruiz, M. J., Hernández-Torrano, D., Pérez-González, J. C., Batey, M., & Petrides, K. V. (2011) · Motivation and Emotion · doi:10.1007/s11031-011-9227-8 · Cited by 140
Systems genetics identifies a convergent gene network for cognition and neurodevelopmental disease
Johnson, M. R., Shkura, K., Langley, S. R., Delahaye‐Duriez, A., Srivastava, P. K., Hill, W. D., Rackham, O. J. L., Davies, G., Harris, S. E., Moreno‐Moral, A., et al. (2015) · Nature Neuroscience · doi:10.1038/nn.4205 · Cited by 140
An Investigation Into Second Language Aptitude for Advanced Chinese Language Learning
Winke, P. M. (2013) · Modern Language Journal · doi:10.1111/j.1540-4781.2013.01428.x · Cited by 148
Grigorenko, E. L., & Sternberg, R. J. (2001) · Intelligence · doi:10.1016/s0160-2896(00)00043-x · Cited by 139
Pase, M. P., Kean, J., Sarris, J., Neale, C., Scholey, A. B., & Stough, C. (2012) · The Journal of Alternative and Complementary Medicine · doi:10.1089/acm.2011.0367 · Cited by 135
Gender Differences in the Self-Assessment of Accuracy on Cognitive Tasks
Pallier, G. (2003) · Sex Roles · doi:10.1023/a:1022877405718 · Cited by 147
Architecture of fluid intelligence and working memory revealed by lesion mapping
Barbey, A. K., Colom, R., Paul, E. J., & Grafman, J. H. (2013) · Brain Structure and Function · doi:10.1007/s00429-013-0512-z · Cited by 148
The Cambridge Handbook of Personality Psychology
(2020) · Cambridge University Press eBooks · doi:10.1017/9781108264822 · Cited by 148
An Approach to Measuring Cognitive Outcomes Across Higher Education Institutions
Klein, S. P., Kuh, G. D., Chun, M., Hamilton, L. S., & Shavelson, R. J. (2005) · Research in Higher Education · doi:10.1007/s11162-004-1640-3 · Cited by 138
Reilly, D., Neumann, D. L., & Andrews, G. (2016) · Springer eBooks · doi:10.1007/978-3-319-44385-0_10 · Cited by 156
Rogers, W. A., Hertzog, C. K., & Fisk, A. D. (2000) · Journal of Experimental Psychology Learning Memory and Cognition · doi:10.1037/0278-7393.26.2.359 · Cited by 134
Woodcock-Johnson III Tests of Achievement
Dean, R. S. (2011) · Springer eBooks · doi:10.1007/978-0-387-79061-9_3095 · Cited by 134
Metadata
- Authors
- Carroll, J. B.
- Corresponding author
- Carroll, John B.
- Venue
- Cambridge University Press eBooks
- Publisher
- Cambridge University Press
- Published
- 1993-01-29
- OpenAlex
- W2999665664
- Cited by
- 4,121
- References
- 0
- Citations by year
- 2026: 118 · 2025: 135 · 2024: 158 · 2023: 196 · 2022: 169 · 2021: 189 · 2020: 230 · 2019: 187 · 2018: 165 · 2017: 177 · 2016: 172 · 2015: 162 · 2014: 178 · 2013: 151 · 2012: 128
- FWCI
- 41.67
- Type
- book
- Language
- en
- Open access
- closed
- Locations
- Cambridge University Press eBooks (publishedVersion)
- Topics
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Cognitive Abilities and Testing
- Social Sciences › Decision Sciences › Management Science and Operations Research › Psychometric Methodologies and Testing
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Creativity in Education and Neuroscience
- Keywords
- cognitive ability, language skills, thinking skills, memory, visual perception, auditory perception, creativity
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