Why g matters: The complexity of everyday life

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A Nation at Risk: The Imperative for Educational Reform

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Eine kurze Skala zur Messung der fünf Dimensionen der Persönlichkeit

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Dispositional Predictors of Problem Solving in the Field of Office Work

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State-unspecific patterns of whole-brain functional connectivity from resting and multiple task states predict stable individual traits

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Spindle-Shaped Neurons in the Human Posteromedial (Precuneus) Cortex

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Overview of the WAIS–IV/WMS–IV/ACS

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A Phenomenon of Overqualification in Personnel Psychology

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Morale: definitions, dimensions and measurement

Hardy, B. (2010) · Apollo (University of Cambridge) · doi:10.17863/cam.16455 · Cited by 14

An organizational framework for the psychological individual differences: Integrating the affective, cognitive, and conative domainsPreprint

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Between-Group Mean Differences in Intelligence in the United States Are >0% Genetically Caused: Five Converging Lines of Evidence

Warne, R. T. (2021) · The American Journal of Psychology · doi:10.5406/amerjpsyc.134.4.0479 · Cited by 12

The association of externalizing and internalizing problems with indicators of intelligence in a sample of at-risk children

Kavish, N., Helton, J. J., Vaughn, M. G., & Boutwell, B. B. (2020) · Intelligence · doi:10.1016/j.intell.2020.101448 · Cited by 15

Creative music therapy for long‐term neurodevelopment in extremely preterm infants: Results of a feasibility trial

Haslbeck, F. B., Adams, M., Schmidli, L., Bassler, D., Bucher, H. U., & Natalucci, G. (2023) · Acta Paediatrica · doi:10.1111/apa.16984 · Cited by 12

Spearman's law of diminishing returns and the DAS-II: Do g effects on subtest scores depend on the level of g?

Reynolds, M. R., Hajovsky, D. B., Niileksela, C. R., & Keith, T. Z. (2011) · School Psychology Quarterly · doi:10.1037/a0026190 · Cited by 12

Practice other than playing games apparently has only a modest role in the development of chess expertise

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One’s Better Half: Romantic Partners Function as Social Signals

Winegard, B. M., Winegard, B. M., Reynolds, T. A., Geary, D., & Baumeister, R. (2017) · Evolutionary Psychological Science · doi:10.1007/s40806-017-0095-7 · Cited by 12

How feasible is the rapid development of artificial superintelligence?

Sotala, K. (2017) · Physica Scripta · doi:10.1088/1402-4896/aa90e8 · Cited by 15

The Development of an Instrument to Measure the Work Capability of People with Limited Work Capacity (LWC)

van Ruitenbeek, G. M. C., Zijlstra, F., & Hulsheger, U. R. (2018) · Journal of Occupational Rehabilitation · doi:10.1007/s10926-018-9774-x · Cited by 13

ABCD Neurocognitive Prediction Challenge 2019: Predicting Individual Residual Fluid Intelligence Scores from Cortical Grey Matter Morphology

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Ian Deary and Robert Sternberg answer five self-inflicted questions about human intelligence

Deary, I. J., & Sternberg, R. J. (2021) · Intelligence · doi:10.1016/j.intell.2021.101539 · Cited by 16

Construct and incremental validity of dynamic assessment of decoding within and across domains

Cho, E., & Compton, D. L. (2014) · Learning and Individual Differences · doi:10.1016/j.lindif.2014.10.004 · Cited by 12

Intelligenz, kognitive Fähigkeiten, Humankapital und Rationalität auf verschiedene Ebenen

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Toward a revised theory of general intelligence: Further examination of fluid cognitive abilities as unique aspects of human cognition

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Childhood Verbal Development and Drinking Behaviors from Adolescence to Young Adulthood: A Discordant Twin-Pair Analysis

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Four Point Bending

Pais, J. C., & Harvey, J. (2012) · CRC Press eBooks · doi:10.1201/b12767 · Cited by 12

Integrating Individual and Organizational Perspectives for Career Development and Change

Hesketh, B. L., & Considine, G. (1998) · European Journal of Work and Organizational Psychology · doi:10.1080/135943298398781 · Cited by 12

Contemporary Theories of Intelligence

Sternberg, R. J. (2012) · Wiley eBooks · doi:10.1002/9781118133880.hop207002 · Cited by 13

Towards a “Treadmill Test” for Cognition: Reliable Prediction of Intelligence From Whole-Brain Task Activation PatternsPreprint

Sripada, C., Angstadt, M., & Rutherford, S. E. (2018) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/412056 · Cited by 12

A General Profile of Artificial Intelligence Adoption in Banking Sector

Öztürk, R., & Kula, V. (2021) · Journal of corporate governance insurance and risk management · doi:10.51410/jcgirm.8.2.10 · Cited by 11

A Nuanced Analysis of Salesperson Grit: Exploring Perseverance, Consistency, and Mind-set

Lastner, M. M., Peasley, M. C., & Pelletier, M. J. (2022) · Journal of Business-to-Business Marketing · doi:10.1080/1051712x.2022.2121505 · Cited by 14

Do Cognitive–Achievement Relations Vary by General Ability Level?

Hajovsky, D. B., Niileksela, C. R., Olsen, S., & Sekula, M. K. K. (2023) · Journal of Intelligence · doi:10.3390/jintelligence11090177 · Cited by 11

Centenary Personality: Are There Psychological Resources that Distinguish Centenarians?

Merino, M. D., Sánchez-Ortega, M., Elvira-Flores, E., & Rodríguez, I. M. (2023) · Journal of Happiness Studies · doi:10.1007/s10902-023-00700-z · Cited by 13

Influence of Phonological Awareness, Morphological Awareness and Non-Verbal Ability on Reading Comprehension in Malayalam.

Gafoor, K. A., & Remia, K. R. (2013) · Cited by 11

IQ and socio-economic development across local authorities of the UK

Carl, N. (2016) · Intelligence · doi:10.1016/j.intell.2016.02.001 · Cited by 11

General intelligence in friendship selection: A study of preadolescent best friend dyads

Boutwell, B. B., Meldrum, R. C., & Petkovsek, M. A. (2017) · Intelligence · doi:10.1016/j.intell.2017.07.002 · Cited by 12

Two sides of the same coin: distinct neuroanatomical patterns predict crystallized and fluid intelligence in adults

Xu, H., Xu, C., Yang, Z., Bai, G., & Yin, B. (2023) · Frontiers in Neuroscience · doi:10.3389/fnins.2023.1199106 · Cited by 13

Preschooler Sleep Patterns Related to Cognitive and Adaptive Functioning

Keefe-Cooperman, K. L., & Brady‐Amoon, P. (2014) · Early Education and Development · doi:10.1080/10409289.2014.876701 · Cited by 11

Olympics of the mind as a method to identify giftedness: Soviet and Russian experience

Ushakov, D. V. (2010) · Learning and Individual Differences · doi:10.1016/j.lindif.2010.04.012 · Cited by 11

Does Intelligence Predict Academic Achievement? Two Case Studies

Čavojová, V., & Mikušková, E. B. (2015) · Procedia - Social and Behavioral Sciences · doi:10.1016/j.sbspro.2015.01.1019 · Cited by 10

Task structure complexity and goal neglect in typically developing children

Roberts, G., & Anderson, M. (2014) · Journal of Experimental Child Psychology · doi:10.1016/j.jecp.2013.11.003 · Cited by 11

Working Memory and Intelligence: A Brief Review

Chooi, W.-T. (2012) · Journal of Educational and Developmental Psychology · doi:10.5539/jedp.v2n2p42 · Cited by 18

Health literacy, a new perspective for patient empowerment in the public health approach to hypertension

Bonaccorsi, G., & Modesti, P. A. (2017) · Internal and Emergency Medicine · doi:10.1007/s11739-017-1657-1 · Cited by 11

Moderators of learning and performance trajectories in microworld simulations: Too soon to give up on intellect!?

Birney, D. P., Beckmann, J. F., Beckmann, N., Double, K. S., & Whittingham, K. M. (2018) · Intelligence · doi:10.1016/j.intell.2018.03.008 · Cited by 11

The Prediction of Professional Success in Apprenticeship: The Role of Cognitive and Non-Cognitive Abilities, of Interests and Personality

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Successful Learning: Relationship Between Fluid Intelligence and Working Memory

Rzhanova, I. E., Alekseeva, O. S., & Burdukova, Y. A. (2020) · Psychological Science and Education · doi:10.17759/pse.2020250106 · Cited by 12

Can you crowdsource expertise? Comparing expert and crowd‐based scoring keys for three situational judgment tests

Brown, M. I., Grossenbacher, M. A., Martín‐Raugh, M. P., Kochert, J. F., & Prewett, M. S. (2021) · International Journal of Selection and Assessment · doi:10.1111/ijsa.12353 · Cited by 11

Building and solving odd-one-out classification problems: A systematic approach

Ruiz, P. E. (2011) · Intelligence · doi:10.1016/j.intell.2011.06.002 · Cited by 11

Consideration of g as a common antecedent for cognitive ability test performance, test motivation, and perceived fairness

Reeve, C. L. L., & Lam, H. (2006) · Intelligence · doi:10.1016/j.intell.2006.08.006 · Cited by 13

Relative Roles of Cognitive Ability and Practical Intelligence in the Prediction of Success

Taub, G. E., Hayes, B. G., Cunningham, W. R., & Sivo, S. A. (2001) · Psychological Reports · doi:10.2466/pr0.2001.88.3.931 · Cited by 11

La teoría de las inteligencias múltiples en la enseñanza-aprendizaje de español como lengua extranjera

González, S. G. (2009) · Gredos (University of Salamanca) · doi:10.14201/gredos.76442 · Cited by 11

The Flynn Effect

Flynn, J. R. (2014) · Oxford University Press eBooks · doi:10.1093/obo/9780199828340-0150 · Cited by 11

THE CORRELATION BETWEEN g LOADINGS AND HERITABILITY IN RUSSIA

Александрович, В. И., Nijenhuis, J. T., & Malykh, S. B. (2015) · Journal of Biosocial Science · doi:10.1017/s0021932015000395 · Cited by 10

Factor structure of intelligence and divergent thinking subtests: A registered report

Warne, R. T., Golightly, S., & Black, M. (2022) · PLoS ONE · doi:10.1371/journal.pone.0274921 · Cited by 12

Intelligence tests and the individual: Unsolvable problems with validity and reliability

van Hoogdalem, A., & Bosman, A. M. T. (2023) · Methodological Innovations · doi:10.1177/20597991231213871 · Cited by 16

Reframing Social and Emotional Development of the Gifted

Sternberg, R. J. (2024) · Behavioral Sciences · doi:10.3390/bs14090752 · Cited by 13

Smart But Maladapted? Differences in the Psychological Functioning of Intellectually Gifted Students Compared With Average-Ability Students

Saß, S., Köller, O., & Zimmermann, F. (2025) · Gifted Child Quarterly · doi:10.1177/00169862241310871 · Cited by 14

The Neuroethics of Transcranial Electrical Stimulation

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Resident Advisor General Intelligence, Emotional Intelligence, Personality Dimensions, and Internal Belief Characteristics as Predictors of Rated Performance

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The OCR AS Level Examination as a Means of Assessing the Critical Thinking Skills of Undergraduate Students: A Pilot Study

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Criminality and fertility among Danish immigrant populations

Kirkegaard, E. O. W. (2014) · Open Differential Psychology · doi:10.26775/odp.2014.03.24 · Cited by 10

Mendelian randomization suggests that head circumference, but not birth weight and length, associates with intelligence

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Validación de la estructura psicométrica de las escalas Grit-O y Grit-S en el contexto colombiano y su relación con el éxito académico

Collantes-Tique, N., Pineda-Parra, J. A., Ortiz-Otálora, C. D., Castañeda, S. R., Jiménez-Pachón, C., Quintero-Ovalle, C., Munévar, F. R., & Uribe-Moreno, M. E. (2021) · Acta Colombiana de Psicología · doi:10.14718/acp.2021.24.2.9 · Cited by 10

Long-term neurocognitive outcomes after pediatric intensive care: exploring the role of drug exposure

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Making Intelligence: Ethical Values in IQ and ML Benchmarks

Blili-Hamelin, B., & Hancox-Li, L. (2023) · ACM Conference on Fairness, Accountability, and Transparency (FAccT) · doi:10.1145/3593013.3593996 · Cited by 20

Responses to Raven matrices: Governed by visual complexity and centrality

de Winter, J., Dodou, D., & Eisma, Y. B. (2023) · Perception · doi:10.1177/03010066231178149 · Cited by 10

Structural Validity of the WISC-III for a National Sample of Native American Students

Kush, J. C., & Watkins, M. W. (2007) · Canadian Journal of School Psychology · doi:10.1177/0829573507303056 · Cited by 10

Cognitive and neurodevelopmental benefits of extended formula-feeding in infants: Re: Deoni et al. 2013

Anderson, A., & Burggren, A. C. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.05.011 · Cited by 12

A comment on “Fractionating Intelligence” and the peer review process

Haier, R. J., Karama, S., Colom, R., Jung, R. E., & Johnson, W. (2014) · Intelligence · doi:10.1016/j.intell.2014.02.007 · Cited by 11

A test of the facultative calibration/reactive heritability model of extraversion

Haysom, H. J., Mitchem, D. G., Lee, A. J., Wright, M. J., Martin, N. G., Keller, M. C., & Zietsch, B. P. (2015) · Evolution and Human Behavior · doi:10.1016/j.evolhumbehav.2015.03.002 · Cited by 10

A pilot study of urinary peptides as biomarkers for intelligence in old age

Lopez, L. M., Mullen, W., Zürbig, P., Harris, S. E., Gow, A. J., Starr, J. M., Porteous, D. J., Mischak, H., & Deary, I. J. (2010) · Intelligence · doi:10.1016/j.intell.2010.11.001 · Cited by 10

The relationship between some demographic variables and leadership effectiveness among local government managers in South Africa

Clement, B., Roelf, R., & Petrus, N. (2015) · AFRICAN JOURNAL OF BUSINESS MANAGEMENT · doi:10.5897/ajbm2013.7299 · Cited by 10

Attention Training in Schoolchildren Improves Attention but Fails to Enhance Fluid Intelligence

Sarzyńska‐Wawer, J., Żelechowska, D., Falkiewicz, M., & Nȩcka, E. (2017) · Studia Psychologica · doi:10.21909/sp.2017.01.730 · Cited by 10

Can Commercial Games Function as Intelligence Tests? A Pilot Study

Lim, J., & Furnham, A. F. (2018) · The Computer Games Journal · doi:10.1007/s40869-018-0053-z · Cited by 10

Eye gaze patterns reflect how young fraction learners approach numerical comparisons

Singley, A. T. M., Crawford, J. L., & Bunge, S. A. (2020) · Journal of Numerical Cognition · doi:10.5964/jnc.v6i1.119 · Cited by 10

Causal relationships between genetically determined metabolites and human intelligence: a Mendelian randomization study

Yang, J., Zhao, B., Li, Q., Gao, F., Fan, Y., He, X., Ma, Q., Yang, L., Yan, B., Wang, W., et al. (2021) · Molecular Brain · doi:10.1186/s13041-021-00743-4 · Cited by 11

Circadian preference and intelligence – an updated meta-analysis

Ujma, P. P., & Scherrer, V. (2021) · Chronobiology International · doi:10.1080/07420528.2021.1926473 · Cited by 12

A multicohort geometric deep learning study of age dependent cortical and subcortical morphologic interactions for fluid intelligence prediction

Wu, Y., Besson, P., Azcona, E. A., Bandt, S. K., Parrish, T. B., Breiter, H. C., & Katsaggelos, A. K. (2022) · Scientific Reports · doi:10.1038/s41598-022-22313-x · Cited by 15

Using intelligence to predict subsequent contacts with the criminal justice system for sex offences

Levine, S. Z. (2007) · Personality and Individual Differences · doi:10.1016/j.paid.2007.09.010 · Cited by 10

I–O 2.0 From Intelligence 1.5: Staying (Just) Behind the Cutting Edge of Intelligence Theories

Oswald, F. L., & Hough, L. M. (2012) · Industrial and Organizational Psychology · doi:10.1111/j.1754-9434.2012.01425.x · Cited by 10

Explaining male predominance at the apex of intellectual achievement

Howard, R. W. (2014) · Personality and Individual Differences · doi:10.1016/j.paid.2014.04.023 · Cited by 10

Measuring fluid intelligence on a ratio scale: Evidence from nonverbal classification problems and information entropy

Ruiz, P. E. (2009) · Behavior Research Methods · doi:10.3758/brm.41.2.439 · Cited by 13

Stress and Resources in Vocational Problem Solving

Kärner, T., Minkley, N., Rausch, A., Schley, T., & Sembill, D. (2017) · Vocations and Learning · doi:10.1007/s12186-017-9193-8 · Cited by 11

Spearman’s Law of Diminishing Returns (SLODR): Examining Effects at the Level of Prediction

McGill, R. J. (2015) · Journal of Psychology and Behavioral Science · doi:10.15640/jpbs.v3n1a3 · Cited by 10

Uncertainty About the Biology of Intelligence: A Role for a Marker Task

Nettelbeck, T., & Wilson, C. J. (2005) · Cortex · doi:10.1016/s0010-9452(08)70904-3 · Cited by 10

The validity of value-added measures in secondary schools

Scherman, V. (2007) · UpSpace Institutional Repository (University of Pretoria) · Cited by 10

Intelligence and the Workplace

Drasgow, F. (2012) · Wiley eBooks · doi:10.1002/9781118133880.hop212008 · Cited by 10

An intelligent mind in a healthy body? Predicting health by cognitive ability in a large European sample

Fries, J., & Pietschnig, J. (2022) · Intelligence · doi:10.1016/j.intell.2022.101666 · Cited by 9

Are grandparents a good substitute for parents as the primary caregiver? The impact of grandparents on Children's academic performance

Wang, S. X., & Bansak, C. (2024) · Labour Economics · doi:10.1016/j.labeco.2024.102545 · Cited by 9

Effectivity: An alternative to conceptions of gifted under- and over-achievement

Sternberg, R. J., & Dashtaki, A. S. (2024) · Gifted Education International · doi:10.1177/02614294241280862 · Cited by 9

El Modelo de Gardner: Excesos y Falsas Esperanzas

de Montreal, U., Larivée, S. J., Sénéchalb, C., & de Ottawa, U. (2010) · Revista Mexicana de Investigación en Psicología · doi:10.32870/rmip.vi.488 · Cited by 9

Forethought and intelligence: How conscientiousness, future planning, and general mental ability predict net worth

Shaffer, J. A. (2020) · Personality and Individual Differences · doi:10.1016/j.paid.2020.109853 · Cited by 10

Intelligence across humans and machines: a joint perspective

da Silveira, T. B. N., & Lopes, H. S. (2023) · Frontiers in Psychology · doi:10.3389/fpsyg.2023.1209761 · Cited by 17

Verbal and non-verbal skills in early childhood: dimensionality, developmental trajectories, and gender differences

Elnes, M., Hansen, J. E., Lervåg, A., Hatlevik, O. E., & Reikerås, E. K. L. (2024) · Frontiers in Psychology · doi:10.3389/fpsyg.2024.1330334 · Cited by 11

Predicting Fluid Intelligence in Adolescent Brain MRI Data: An Ensemble Approach

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Predicting and Assessing Work Performance of People with Limited Work Capacity (LWC): A Multi-Wave, Multi-Source Study

van Ruitenbeek, G. M. C., Zijlstra, F., & Hulsheger, U. R. (2020) · Journal of Occupational Rehabilitation · doi:10.1007/s10926-020-09925-8 · Cited by 9

Financial Literacy and Alcohol Drinking Behavior: Evidence from Japan

Putthinun, P., Watanapongvanich, S., Khan, M. S. R., & Kadoya, Y. (2021) · Sustainability · doi:10.3390/su13168858 · Cited by 10

Measurement of mental attention: Assessing a cognitive component underlying performance on standardized intelligence tests

Howard, S. J., Johnson, J., & Pascual‐Leone, J. (2013) · Research Online (University of Wollongong) · Cited by 9

Intelligence moderates neural responses to monetary reward and punishment

Hawes, D. R., DeYoung, C. G., Gray, J. R., & Rustichini, A. (2014) · Journal of Neurophysiology · doi:10.1152/jn.00393.2013 · Cited by 9

Using Measures Of Specific Abilities To Predict Training Performance in Canadian Forces Operator Occupations

Campbell, S. K., & Catano, V. M. (2004) · Military Psychology · doi:10.1207/s15327876mp1603_3 · Cited by 11

A study on the effect of smartphones on the digital divide

Sung, W. (2015) · Annual International Conference on Digital Government Research · doi:10.1145/2757401.2757427 · Cited by 9

Are There More Gifted People Than Would Be Expected in a Normal Distribution? An Investigation of the Overabundance Hypothesis

Warne, R. T., Godwin, L. R., & Smith, K. V. (2013) · Journal of Advanced Academics · doi:10.1177/1932202x13507969 · Cited by 9

Clarifying process versus structure in human intelligence: Stop talking about fluid and crystallized

Johnson, W., & Gottesman, I. I. (2006) · Behavioral and Brain Sciences · doi:10.1017/s0140525x06329032 · Cited by 9

Life, Death, and Intelligence

Gottfredson, L. S. (2004) · Journal of Cognitive Education and Psychology · doi:10.1891/194589504787382839 · Cited by 72

g, Jobs and Life

Gottfredson, L. S. (2003) · Elsevier eBooks · doi:10.1016/b978-008043793-4/50053-2 · Cited by 94

Information processing and intelligence: Some implications of task complexity

Larson, G. E., Merritt, C. R., & Williams, S. E. (1988) · Intelligence · doi:10.1016/0160-2896(88)90012-8 · Cited by 99

Where and Why g Matters: Not a Mystery

Gottfredson, L. S. (2002) · Psychology Press eBooks · doi:10.1080/08959285.2002.9668082 · Cited by 256

The International Association for Cognitive Education and Psychology

Haywood, H. C., Miller, M. B., ASHMAN, A. F., Berk, L. E., Borkowski, J. G., Hasselbring, T. S., Hessels, M. G. P., Hunt, E. B., Karpov, Y. V., Molina, S. C., et al. (2004) · Cited by 2