The DOI matches its Crossref record; 71 of the 71 references it cites were found in a registry or an index.
Heritability estimates versus large environmental effects: The IQ paradox resolved.
Abstract
Some argue that the high heritability of IQ renders purely environmental explanations for large IQ differences between groups implausible. Yet, large environmentally induced IQ gains between generations suggest an important role for environment in shaping IQ. The authors present a formal model of the process determining IQ in which people's IQs are affected by both environment and genes, but in which their environments are matched to their IQs. The authors show how such a model allows very large effects for environment, even incorporating the highest estimates of heritability. Besides resolving the paradox, the authors show that the model can account for a number of other phenomena, some of which are anomalous when viewed from the standard perspective.
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
“At its core, the g loading of a subtest can be viewed as an index of its cognitive complexity (Flynn, 2013; see also Gottfredson, 2016): a subtest with a higher g-loading is more complex, which means it may be affected to a greater extent not only by biological factors, but also by cultural factors (see especially Dickens & Flynn, 2001;Kan et al., 2013).”
From No negative Flynn effect in France: Why variations of intelligence should not be assessed using tests based on cultural knowledge (2021) · cites this paper as Dickens & Flynn, 2001
In the citing paper
“The interpretation of heritability estimates poses well-known issues and has been criticized elsewhere (e.g.Dickens & Flynn, 2001;Kan et al., 2013).”
From No negative Flynn effect in France: Why variations of intelligence should not be assessed using tests based on cultural knowledge (2021) · cites this paper as Dickens & Flynn, 2001
Citations
Cites
The Bell Curve: Intelligence and Class Structure in American Life.
Preston, S. H., Herrnstein, R. J., & Murray, C. A. (1995) · Population and Development Review · doi:10.2307/2137757 · Cited by 4,027
Nature-nurture reconceptualized in developmental perspective: A bioecological model.
Bronfenbrenner, U., & Ceci, S. J. (1994) · Psychological Review · doi:10.1037/0033-295x.101.4.568 · Cited by 2,973
Intelligence: Knowns and unknowns.
Neisser, U., Boodoo, G., Bouchard, T. J., Boykin, A. W., Brody, N., Ceci, S. J., Halpern, D. F., Loehlin, J. C., Perloff, R., Sternberg, R. J., et al. (1996) · American Psychologist · doi:10.1037/0003-066x.51.2.77 · Cited by 2,913
How People Make Their Own Environments: A Theory of Genotype Environment Effects
Scarr, S., & McCartney, K. (1983) · Child Development · doi:10.1111/j.1467-8624.1983.tb03884.x · Cited by 2,895
The g factor: the science of mental ability
(1998) · Choice Reviews Online · doi:10.5860/choice.36-2443 · Cited by 2,763
Inequality: A Reassessment of the Effect of Family and Schooling in America
Buckles, S. G., & Jencks, C. (1973) · The Journal of Economic Education · doi:10.2307/1182840 · Cited by 2,364
Massive IQ gains in 14 nations: What IQ tests really measure.
Flynn, J. R. (1987) · Psychological Bulletin · doi:10.1037/0033-2909.101.2.171 · Cited by 1,918
Self-citationWhere is the child's environment? A group socialization theory of development.
Harris, J. R. (1995) · Psychological Review · doi:10.1037/0033-295x.102.3.458 · Cited by 1,885
A reinterpretation of the direction of effects in studies of socialization.
Bell, R. Q. (1968) · Psychological Review · doi:10.1037/h0025583 · Cited by 1,872
Why are children in the same family so different from one another?
Plomin, R. J., & Daniels, D. (1987) · Behavioral and Brain Sciences · doi:10.1017/s0140525x00055941 · Cited by 1,360
Research works printed but not linked: 4
- Bronfenbrenner, 1989, Ecological system theory., 185
- Burtless, 1996, Changes in the structure of wages., 53
- Flynn, 1994, IQ gains over time., 617
- Turkheimer, 1997, Spinach and ice cream: Why environmentalist social science is so difficult.
Cited by
Sorted by citations
Items 201–300 of 678
Kalmijn, M. (2015) · Demography · doi:10.1007/s13524-015-0388-z · Cited by 51
A knowledge-based theory of rising scores on “culture-free” tests.
Fox, M. C., & Mitchum, A. L. (2012) · Journal of Experimental Psychology General · doi:10.1037/a0030155 · Cited by 51
Reflections about intelligence over 40 years
Flynn, J. R. (2018) · Intelligence · doi:10.1016/j.intell.2018.06.007 · Cited by 50
Self-citationThe Cognitive Element Model of Reading Instruction
Peng, P., & Goodrich, J. M. (2020) · Reading Research Quarterly · doi:10.1002/rrq.336 · Cited by 50
The IQ paradox is still resolved: Reply to Loehlin (2002) and Rowe and Rodgers (2002).
Dickens, W. T., & Flynn, J. R. (2002) · Psychological Review · doi:10.1037/0033-295x.109.4.764 · Cited by 50
Self-citationMõttus, R., Briley, D. A., Zheng, A., Mann, F. D., Engelhardt, L. E., Tackett, J. L., Harden, K. P., & Tucker–Drob, E. M. (2019) · Journal of Personality and Social Psychology · doi:10.1037/pspp0000194 · Cited by 49
Habraken, C. L. (2004) · Journal of Science Education and Technology · doi:10.1023/b:jost.0000019641.93420.6f · Cited by 49
What is intelligence? Beyond the Flynn effect
Wicherts, J. M. (2008) · Netherlands journal of psychology · doi:10.1007/bf03076406 · Cited by 49
Rushton, J. P., & Jensen, A. R. (2010) · The Open Psychology Journal · doi:10.2174/1874350101003010009 · Cited by 48
“Even including the several additional tests that Rushton and Jensen [25] said were wrongly omitted, the median Black IQ gain is still 4.5 points, which is not very different from the 5.5 point estimate given by Dickens and Flynn.”
BackgroundInfluentialRowe, D. (2005) · American Psychologist · doi:10.1037/0003-066x.60.1.60 · Cited by 48
Hyde, L. W. (2015) · Development and Psychopathology · doi:10.1017/s0954579415000188 · Cited by 48
Gene–Environment Correlation as a Source of Stability and Diversity in Development
Beam, C. R., & Turkheimer, E. N. (2017) · Springer eBooks · doi:10.1007/978-3-319-49227-8_6 · Cited by 47
Collins, R., Collins, D. J., MacNamara, Á., & Jones, M. I. (2014) · Journal of Sports Sciences · doi:10.1080/02640414.2014.908324 · Cited by 47
Demographic Issues in Longevity Risk Analysis
Stallard, E. (2006) · Journal of Risk & Insurance · doi:10.1111/j.1539-6975.2006.00190.x · Cited by 47
Identification of a Flynn Effect in the NLSY: Moving from the center to the boundaries
Rodgers, J. L., & Wänström, L. (2006) · Intelligence · doi:10.1016/j.intell.2006.06.002 · Cited by 47
Woodley, M. A., te Nijenhuis, J., Must, O., & Must, A. (2014) · Intelligence · doi:10.1016/j.intell.2013.12.004 · Cited by 46
Comparability of IQ scores over time
Must, O., Nijenhuis, J. T., Must, A., & Vianen, A. E. M. V. (2008) · Intelligence · doi:10.1016/j.intell.2008.05.002 · Cited by 46
“In What Way Are Apples and Oranges Alike?” A Critique of Flynn’s Interpretation of the Flynn Effect
Kaufman, A. S. (2010) · Journal of Psychoeducational Assessment · doi:10.1177/0734282910373346 · Cited by 45
Breit, M., Brunner, M., Molenaar, D., & Preckel, F. (2022) · Psychological Bulletin · doi:10.1037/bul0000379 · Cited by 45
Second Chances: Investigating Athletes’ Experiences of Talent Transfer
MacNamara, Á., & Collins, D. J. (2015) · PLoS ONE · doi:10.1371/journal.pone.0143592 · Cited by 45
National Intelligence and the Emperor's New Clothes
Barnett, S. M., & Williams, W. M. (2004) · Contemporary Psychology · doi:10.1037/004367 · Cited by 44
Schulz, W., Schunck, R., Diewald, M., & Johnson, W. (2017) · Journal of Youth and Adolescence · doi:10.1007/s10964-017-0718-0 · Cited by 44
Neuropsychiatric “Comorbidity” as Causal Influence in Autism
Hawks, Z., & Constantino, J. N. (2019) · Journal of the American Academy of Child & Adolescent Psychiatry · doi:10.1016/j.jaac.2019.07.008 · Cited by 43
Schalke, D., Brunner, M., Geiser, C., Preckel, F., Keller, U., Spengler, M., & Martin, R. (2012) · Developmental Psychology · doi:10.1037/a0030623 · Cited by 43
A review of gene–environment correlations and their implications for autism: A conceptual model.
Meek, S. E., Lemery‐Chalfant, K., Jahromi, L. B., & Valiente, C. (2013) · Psychological Review · doi:10.1037/a0033139 · Cited by 43
Developing Childhood Proclivities into Adult Competencies: The Overlooked Multiplier Effect
Ceci, S. J., Barnett, S. M., & Kanaya, T. (2003) · Cambridge University Press eBooks · doi:10.1017/cbo9780511615801.005 · Cited by 43
Genetic interventions and the ethics of enhancement of human beings
Savulescu, J. (2016) · Gazeta de Antropología · doi:10.30827/digibug.43310 · Cited by 43
Euler, M. J. (2018) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2018.08.013 · Cited by 42
The Flynn Effect in the Caribbean: Generational Change of Cognitive Test Performance in Dominica
Meisenberg, G., Lawless, E., Lambert, E., & Newton, A. (2005) · Mankind Quarterly · doi:10.46469/mq.2005.46.1.2 · Cited by 42
Erola, J., Kilpi‐Jakonen, E., Prix, I., & Lehti, H. (2018) · European Sociological Review · doi:10.1093/esr/jcy021 · Cited by 41
Marsman, M., & Rhemtulla, M. (2022) · Psychometrika · doi:10.1007/s11336-022-09861-x · Cited by 41
Murayama, K., & von Keyserlingk, L. (2025) · Educational Psychologist · doi:10.1080/00461520.2025.2473894 · Cited by 40
The relationship between income inequality and inequality in schooling
Mayer, S. E. (2010) · Theory and Research in Education · doi:10.1177/1477878509356346 · Cited by 40
Dolan, C. V., de Kort, J. M., van Beijsterveldt, T. C. E. M., Bartels, M., & Boomsma, D. I. (2014) · Behavior Genetics · doi:10.1007/s10519-014-9659-5 · Cited by 40
Studying Intellectual Outliers
Wai, J., Putallaz, M., & Makel, M. C. (2012) · Current Directions in Psychological Science · doi:10.1177/0963721412455052 · Cited by 40
Duncan, G. J., & Magnuson, K. (2004) · Cambridge University Press eBooks · doi:10.1017/9780511808302.006 · Cited by 40
Compensation and other forms of accumulation in intergenerational social inequality
Erola, J., & Kilpi‐Jakonen, E. (2017) · Edward Elgar Publishing eBooks · doi:10.4337/9781786432568.00006 · Cited by 40
The impact of population ageing on innovation and productivity growth in Europe
Prskawetz, A., Mahlberg, B., & Skirbekk, V. (2005) · IIASA PURE (International Institute of Applied Systems Analysis) · Cited by 40
Flores, C. (2008) · Texas ScholarWorks (Texas Digital Library) · Cited by 40
Heterosis doesn't cause the Flynn effect: A critical examination of Mingroni (2007).
Menie, M. A. W. O. (2011) · Psychological Review · doi:10.1037/a0024759 · Cited by 39
Research on Human Plasticity in Adulthood
Kühn, S., & Lindenberger, U. (2015) · Elsevier eBooks · doi:10.1016/b978-0-12-411469-2.00006-6 · Cited by 39
Morgan, A. A., Marsiske, M., & Whitfield, K. E. (2007) · Experimental Aging Research · doi:10.1080/03610730701776427 · Cited by 39
Progress in the Molecular-Genetic Study of Intelligence
Posthuma, D., & de Geus, E. J. C. (2006) · Current Directions in Psychological Science · doi:10.1111/j.1467-8721.2006.00426.x · Cited by 39
Papierno, P. B., Ceci, S. J., Makel, M. C., & Williams, W. M. (2005) · journal for the education of the gifted · doi:10.4219/jeg-2005-343 · Cited by 38
Individual differences: Case studies of rodent and primate intelligence.
Matzel, L. D., & Sauce, B. (2017) · Journal of Experimental Psychology Animal Learning and Cognition · doi:10.1037/xan0000152 · Cited by 37
Inbreeding depression and IQ in a study of 72 countries
Menie, M. A. W. O. (2008) · Intelligence · doi:10.1016/j.intell.2008.10.007 · Cited by 36
Genes, Education, and Labor Market Outcomes: Evidence from the Health and Retirement Study
Papageorge, N., & Thom, K. (2018) · National Bureau of Economic Research · doi:10.3386/w25114 · Cited by 36
Breit, M., Brunner, M., & Preckel, F. (2019) · Developmental Psychology · doi:10.1037/dev0000876 · Cited by 35
Smarter every day: The deceleration of population ageing in terms of cognition
Bordone, V., Scherbov, S., & Steiber, N. (2015) · Intelligence · doi:10.1016/j.intell.2015.07.005 · Cited by 35
Behrman, J. R., Hoddinott, J. F., Maluccio, J. A., Soler‐Hampejsek, E., Behrman, E. L., Martorell, R., Ramírez‐Zea, M., & Stein, A. D. (2006) · SSRN Electronic Journal · doi:10.2139/ssrn.947480 · Cited by 35
Shared Environment Estimates for Educational Attainment: A Puzzle and Possible Solutions
Jeremy Freese, A., & Jao, Y. (2015) · Journal of Personality · doi:10.1111/jopy.12226 · Cited by 34
Pietschnig, J., Tran, U. S., & Voracek, M. (2013) · Intelligence · doi:10.1016/j.intell.2013.06.005 · Cited by 34
Academic Achievement Programs and Youth Development: A Synthesis
Redd, Z., Cochran, S., & Hair, E. C. (2002) · PsycEXTRA Dataset · doi:10.1037/e315372004-001 · Cited by 34
Slow and Steady Wins the Race: K Positively Predicts Fertility in the USA and Sweden
Menie, M. A. W. O., de Baca, T. C., Fernandes, H. B. F., Madison, G., Figueredo, A.-J., & Aguirre, M. P. (2016) · Evolutionary Psychological Science · doi:10.1007/s40806-016-0077-1 · Cited by 33
Platt, J. M., Keyes, K. M., McLaughlin, K. A., & Kaufman, A. S. (2019) · Intelligence · doi:10.1016/j.intell.2019.101385 · Cited by 32
Torres, D. D. (2013) · Biodemography and Social Biology · doi:10.1080/19485565.2013.833804 · Cited by 32
Neurodevelopmental and Cognitive Outcomes of Classical Homocystinuria: Experience from Qatar
Bashir, H. E., Dekair, L., Mahmoud, Y., & Ben‐Omran, T. (2014) · JIMD Reports · doi:10.1007/8904_2014_394 · Cited by 32
Armstrong, E. L., & Menie, M. A. W. O. (2013) · Learning and Individual Differences · doi:10.1016/j.lindif.2013.10.009 · Cited by 31
Geary, D. C. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms22073562 · Cited by 31
Intelligence and IQ: What teachers should know
Nettelbeck, T., & Wilson, C. J. (2005) · Educational Psychology · doi:10.1080/01443410500344696 · Cited by 31
Peeking Inside the “Black Box” of the Flynn Effect: Evidence From Three Wechsler Instruments
Zhou, X., Zhu, J., & Weiss, L. G. (2010) · Journal of Psychoeducational Assessment · doi:10.1177/0734282910373340 · Cited by 31
Saltz, J. B. (2016) · Heredity · doi:10.1038/hdy.2016.101 · Cited by 30
Labor Market Returns and the Evolution of Cognitive Skills: Theory and Evidence
Hermo, S., Päällysaho, M., Seim, D., & Shapiro, J. M. (2022) · The Quarterly Journal of Economics · doi:10.1093/qje/qjac022 · Cited by 30
van Tuijl, C., & Leseman, P. P. M. (2007) · Early Childhood Research Quarterly · doi:10.1016/j.ecresq.2007.02.002 · Cited by 30
Behavioral Genetics and School Readiness
Dickens, W. T. (2005) · The Future of Children · doi:10.1353/foc.2005.0003 · Cited by 30
Self-citationAge-related IQ decline is reduced markedly after adjustment for the Flynn effect
Dickinson, M. D., & Hiscock, M. (2010) · Journal of Clinical and Experimental Neuropsychology · doi:10.1080/13803391003596413 · Cited by 29
The Flynn effect, group differences, and g loadings
Nijenhuis, J. T. (2012) · Personality and Individual Differences · doi:10.1016/j.paid.2011.12.023 · Cited by 29
Palmer, C. E., Zhao, W., Loughnan, R. J., Zou, J., Fan, C. C., Thompson, W. K., Dale, A. M., & Jernigan, T. L. (2021) · Cerebral Cortex · doi:10.1093/cercor/bhab054 · Cited by 29
Genetic and early environmental predictors of adulthood self-reports of trauma
Peel, A. J., Purves, K. L., Baldwin, J. R., Breen, G. D., Coleman, J. R. I., Pingault, J., Skelton, M., ter Kuile, A., Danese, A., & Eley, T. C. (2022) · The British Journal of Psychiatry · doi:10.1192/bjp.2021.207 · Cited by 29
Two Italies? Genes, intelligence and the Italian North–South economic divide
Daniele, V. (2015) · Intelligence · doi:10.1016/j.intell.2014.12.004 · Cited by 29
Nature, nurture and socioeconomic policy—What can we learn from molecular genetics?
Lundborg, P., & Stenberg, A. (2010) · Economics & Human Biology · doi:10.1016/j.ehb.2010.08.002 · Cited by 29
Vocabulary from adolescence to middle age
Sullivan, A., & Brown, M. (2015) · Longitudinal and Life Course Studies · doi:10.14301/llcs.v6i2.310 · Cited by 29
WEALTH, INTELLIGENCE, POLITICS AND GLOBAL FERTILITY DIFFERENTIALS
Meisenberg, G. (2009) · Journal of Biosocial Science · doi:10.1017/s0021932009003344 · Cited by 29
What causes the anti-Flynn effect? A data synthesis and analysis of predictors
Woodley of Menie, M. A., Peñaherrera-Aguirre, M., Fernandes, H. B. F., & Figueredo, A.-J. (2018) · Evolutionary Behavioral Sciences · doi:10.1037/ebs0000106 · Cited by 29
Zavala, C., Beam, C. R., Finch, B. K., Gatz, M., Johnson, W., Kremen, W. S., Neiderhiser, J. M., Pedersen, N. L., & Reynolds, C. A. (2018) · Developmental Psychology · doi:10.1037/dev0000576 · Cited by 29
Ramseier, E., & Brühwiler, C. (2003) · Swiss Journal of Educational Research · doi:10.24452/sjer.25.1.4646 · Cited by 29
Sellers, A. H., Burns, W. J., & Guyrke, J. S. (2002) · Applied Neuropsychology · doi:10.1207/s15324826an0902_1 · Cited by 29
The epidemiology of cognitive development
Guez, A., Peyre, H., Williams, C. M., Labouret, G., & Ramus, F. (2020) · Cognition · doi:10.1016/j.cognition.2021.104690 · Cited by 28
Objective evidence of rising population ability: a detailed examination of longitudinal chess data
Howard, R. W. (2004) · Personality and Individual Differences · doi:10.1016/j.paid.2004.04.013 · Cited by 28
The Importance of Being Active
Brembs, B. (2009) · Journal of Neurogenetics · doi:10.1080/01677060802471643 · Cited by 28
Colman, A. M. (2016) · Personality and Individual Differences · doi:10.1016/j.paid.2016.04.050 · Cited by 27
Judd, N., Sauce, B., & Klingberg, T. (2022) · npj Science of Learning · doi:10.1038/s41539-022-00148-5 · Cited by 27
Rodgers, J. L. (2013) · Intelligence · doi:10.1016/j.intell.2013.08.004 · Cited by 27
A Behavioral Genetic Perspective on Non-Cognitive Factors and Academic Achievement
Tucker–Drob, E. M., & Harden, K. P. (2017) · Cambridge University Press eBooks · doi:10.1017/9781316340301.007 · Cited by 27
The Associations Between Music Training, Musical Working Memory, and Visuospatial Working Memory
Silas, S. J., Müllensiefen, D., Gelding, R. W., Frieler, K., & Harrison, P. M. C. (2022) · Music Perception An Interdisciplinary Journal · doi:10.1525/mp.2022.39.4.401 · Cited by 27
The Flynn effect in sibships: Investigating the role of age differences between siblings
Sundet, J. M., Eriksen, W., Borren, I., & Tambs, K. (2009) · Intelligence · doi:10.1016/j.intell.2009.11.005 · Cited by 27
A gene-environment cascade theoretical framework of developmental psychopathology.
Elam, K. K., Lemery‐Chalfant, K., & Chassin, L. (2022) · Journal of Psychopathology and Clinical Science · doi:10.1037/abn0000546 · Cited by 26
Historical Influences on Aging and Behavior
Schaie, K. W. (2010) · Elsevier eBooks · doi:10.1016/b978-0-12-380882-0.00003-6 · Cited by 25
Pathways to individuality: Evolution and development of personality traits.
Buss, A. H. (2011) · American Psychological Association eBooks · doi:10.1037/13087-000 · Cited by 25
Interpreting estimates of heritability – A note on the twin decomposition
Stenberg, A. (2012) · Economics & Human Biology · doi:10.1016/j.ehb.2012.05.002 · Cited by 25
The influence of parents' education in the Italian standardization sample of the WISC-III
Cianci, L., Orsini, A., Hulbert, S., & Pezzuti, L. (2013) · Learning and Individual Differences · doi:10.1016/j.lindif.2013.09.009 · Cited by 25
Crawford, C., Goodman, A. T., & Joyce, R. C. (2017) · doi:10.1920/wp.ifs.2010.1016 · Cited by 25
Seventy years, 1000 samples, and 300,000 SPM scores: A new meta-analysis of Flynn effect patterns
Wongupparaj, P., Wongupparaj, R., Morris, R. G., & Kumari, V. (2023) · Intelligence · doi:10.1016/j.intell.2023.101750 · Cited by 24
IQ Population Genetics: It's not as Simple as You Think
Meisenberg, G. (2003) · Mankind Quarterly · doi:10.46469/mq.2003.44.2.4 · Cited by 24
Ferraro, L., Quattrone, D., Barbera, D. L., Cascia, C. L., Morgan, C., Kirkbride, J. B., Cardno, A. G., Sham, P. C., Tripoli, G., Sideli, L., et al. (2022) · Schizophrenia Bulletin · doi:10.1093/schbul/sbac100 · Cited by 23
Fluid reasoning skills at the high school transition predict subsequent dropout
Pagani, L. S., Brière, F. N., & Janosz, M. (2017) · Intelligence · doi:10.1016/j.intell.2017.02.006 · Cited by 23
Beam, C. R., Turkheimer, E. N., Finkel, D., Levine, M. E., Zandi, E., Guterbock, T. M., Giangrande, E. J., Ryan, L., Pasquenza, N., & Davis, D. W. (2019) · Behavior Genetics · doi:10.1007/s10519-019-09983-6 · Cited by 23
Accessing the development and heritability of the capacity of cognitive control
Chen, Y., Chen, C., Wu, T., Qiu, B., Zhang, W., & Fan, J. (2020) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2020.107361 · Cited by 23
Phillips, T. J., Ferguson, E., & Rijsdijk, F. V. (2010) · British Journal of Psychology · doi:10.1348/000712610x493494 · Cited by 23
Deulen, A. A. (2013) · Christian Education Journal Research on Educational Ministry · doi:10.1177/073989131301000107 · Cited by 23
Metadata
- Authors
- Dickens, W. T., & Flynn, J. R.
- Affiliations
- Brookings Institution (US)
- ORCID
- Dickens, William T.
- Venue
- Psychological Review
- Published
- 2001
- Volume
- 108
- Issue
- 2
- Pages
- 346-369
- ISSN
- 0033-295X (ISSN-L)
- 1939-1471
- OpenAlex
- W2048068880
- Cited by
- 663
- References
- 69
- Citations by year
- 2026: 9 · 2025: 8 · 2024: 16 · 2023: 24 · 2022: 29 · 2021: 27 · 2020: 27 · 2019: 28 · 2018: 20 · 2017: 27 · 2016: 25 · 2015: 30 · 2014: 32 · 2013: 35 · 2012: 26
- FWCI
- 31.38
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Psychological Review (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Cognitive Abilities and Testing
- Social Sciences › Sociology and Political Science › Intergenerational and Educational Inequality Studies
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Evolutionary Psychology and Human Behavior
- Keywords
- gene-environment interaction
- MeSH terms
- Adult, Child, Humans, Intelligence, Intelligence Tests, Models, Genetic, Phenotype, Psychometrics, Social Environment
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