"General Intelligence," Objectively Determined and Measured

lavaan : An R Package for Structural Equation Modeling

Rosseel, Y. (2012) · Journal of Statistical Software · doi:10.18637/jss.v048.i02 · Cited by 27,955

Evaluating the use of exploratory factor analysis in psychological research.

Fabrigar, L. R., Wegener, D. T., MacCallum, R. C., & Strahan, E. J. (1999) · Psychological Methods · doi:10.1037/1082-989x.4.3.272 · Cited by 9,587

Practical issues in structural modeling

BENTLER, P. M., & CHOU, C.-P. (1987) · Sociological Methods & Research · doi:10.1177/0049124187016001004 · Cited by 5,804

Assessing measurement model quality in PLS-SEM using confirmatory composite analysis

Hair, J. F., Howard, M. C., & Nitzl, C. (2020) · Journal of Business Research · doi:10.1016/j.jbusres.2019.11.069 · Cited by 5,446

Extensional versus intuitive reasoning: The conjunction fallacy in probability judgment.

Tversky, A., & Kahneman, D. (1983) · Psychological Review · doi:10.1037/0033-295x.90.4.293 · Cited by 3,991

Exploratory and confirmatory factor analysis: Understanding concepts and applications.

Thompson, B. (2004) · doi:10.1037/10694-000 · Cited by 3,469

Regional Brain Changes in Aging Healthy Adults: General Trends, Individual Differences and Modifiers

Raz, N., Lindenberger, U., Rodrigue, K. M., Kennedy, K. M., Head, D., Williamson, A., Dahle, C., Gerstorf, D., & Acker, J. D. (2005) · Cerebral Cortex · doi:10.1093/cercor/bhi044 · Cited by 2,875

Working memory span tasks: A methodological review and user’s guide

Conway, A. R. A., Kane, M. J., Bunting, M. F., Hambrick, D. Z., Wilhelm, O., & Engle, R. W. (2005) · Psychonomic Bulletin & Review · doi:10.3758/bf03196772 · Cited by 2,882

A meta-analysis of the five-factor model of personality and academic performance.

Poropat, A. E. (2009) · Psychological Bulletin · doi:10.1037/a0014996 · Cited by 2,729

The p Factor: One General Psychopathology Factor in the Structure of Psychiatric Disorders?

Caspi, A., Houts, R. M., Belsky, D. W., Goldman-Mellor, S. J., Harrington, H., Israel, S., Meier, M. H., Ramrakha, S., Shalev, I., Poulton, R., et al. (2014) · Clinical Psychological Science · doi:10.1177/2167702613497473 · Cited by 2,449

Use of Exploratory Factor Analysis in Published Research: Common Errors and Some Comment on Improved Practice

Henson, R. K., & Roberts, J. K. (2006) · Educational and Psychological Measurement · doi:10.1177/0013164405282485 · Cited by 2,454

“Clinical versus Actuarial Judgment.”

Dawes, R. M., Faust, D., & Meehl, P. E. (1989) · Science · doi:10.1126/science.2648573 · Cited by 2,298

Validating the interpretations and uses of test scores

Kane, M. T. (2013) · Journal of Educational Measurement · doi:10.1111/jedm.12000 · Cited by 2,110

When and where do we apply what we learn?: A taxonomy for far transfer

Barnett, S. M., & Ceci, S. J. (2002) · Psychological Bulletin · doi:10.1037/0033-2909.128.4.612 · Cited by 2,076

Model selection and psychological theory: A discussion of the differences between the Akaike information criterion (AIC) and the Bayesian information criterion (BIC).

Vrieze, S. I. (2012) · Psychological Methods · doi:10.1037/a0027127 · Cited by 1,948

How to perform and report an impactful analysis using partial least squares: guidelines for confirmatory and explanatory IS research

Benitez, J., Henseler, J., Castillo, A., & Schuberth, F. (2020) · Information & Management · doi:10.1016/j.im.2019.05.003 · Cited by 1,788

The theoretical status of latent variables.

Borsboom, D., Mellenbergh, G. J., & van Heerden, J. (2003) · Psychological Review · doi:10.1037/0033-295x.110.2.203 · Cited by 1,566

Intellectual ability and cortical development in children and adolescents

Shaw, P., Greenstein, D., Lerch, J., Clasen, L., Lenroot, R., Gogtay, N., Evans, A., Rapoport, J., & Giedd, J. (2006) · Nature · doi:10.1038/nature04513 · Cited by 1,543

Genome-wide association meta-analysis in 269,867 individuals identifies new genetic and functional links to intelligence

Savage, J. E., Jansen, P. R., Stringer, S., Watanabe, K., Bryois, J., de Leeuw, C. A., Nagel, M., Awasthi, S., Barr, P. B., Coleman, J. R. I., et al. (2018) · Nature Genetics · doi:10.1038/s41588-018-0152-6 · Cited by 1,267

CHC Theory and the Human Cognitive Abilities Project: Standing on the Shoulders of the Giants of Psychometric Intelligence Research

McGrew, K. S. (2009) · Intelligence · doi:10.1016/j.intell.2008.08.004 · Cited by 1,354

On the Methodological Framework of Composite Indices: A Review of the Issues of Weighting, Aggregation, and Robustness

Greco, S., Ishizaka, A., Tasiou, M., & Torrisi, G. (2019) · Social Indicators Research · doi:10.1007/s11205-017-1832-9 · Cited by 1,325

General Mental Ability in the World of Work: Occupational Attainment and Job Performance.

Schmidt, F. L., & Hunter, J. (2004) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.86.1.162 · Cited by 1,238

Education and cognitive functioning across the life span

Lövdén, M., Fratiglioni, L., Glymour, M. M., Lindenberger, U., & Tucker-Drob, E. M. (2020) · Psychological Science in the Public Interest · doi:10.1177/1529100620920576 · Cited by 1,224

Neural reuse: A fundamental organizational principle of the brain

Anderson, M. L. (2010) · Behavioral and Brain Sciences · doi:10.1017/s0140525x10000853 · Cited by 1,212

Support theory: a nonextensional representation of subjective probability

Tversky, A., & Koehler, D. J. (1994) · Psychological Review · doi:10.1037/0033-295x.101.4.547 · Cited by 1,167

A dynamical model of general intelligence: The positive manifold of intelligence by mutualism.

Van Der Maas, H. L. J., Dolan, C. V., Grasman, R. P. P. P., Wicherts, J. M., Huizenga, H. M., & Raijmakers, M. E. J. (2006) · Psychological Review · doi:10.1037/0033-295x.113.4.842 · Cited by 1,006

The neuroscience of human intelligence differences

Deary, I. J., Penke, L., & Johnson, W. (2010) · Nature Reviews Neuroscience · doi:10.1038/nrn2793 · Cited by 1,038

A positive-negative mode of population covariation links brain connectivity, demographics and behavior

Smith, S. M., Nichols, T. E., Vidaurre, D., Winkler, A. M., Behrens, T. E. J., Glasser, M. F., Ugurbil, K., Barch, D. M., Van Essen, D. C., & Miller, K. L. (2015) · Nature Neuroscience · doi:10.1038/nn.4125 · Cited by 859

Working Memory and Intelligence: The Same or Different Constructs?

Ackerman, P. L., Beier, M. E., & Boyle, M. O. (2005) · Psychological Bulletin · doi:10.1037/0033-2909.131.1.30 · Cited by 969

All for One and One for All: Mental Disorders in One Dimension

Caspi, A., & Moffitt, T. E. (2018) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2018.17121383 · Cited by 918

An adaptive coding model of neural function in prefrontal cortex

Duncan, J. (2001) · Nature Reviews Neuroscience · doi:10.1038/35097575 · Cited by 874

Evolutionary Personality Psychology

Buss, D. M. (1991) · Annual Review of Psychology · doi:10.1146/annurev.ps.42.020191.002331 · Cited by 930

Why IQ is not a covariate in cognitive studies of neurodevelopmental disorders

DENNIS, M., FRANCIS, D. J., CIRINO, P. T., SCHACHAR, R., BARNES, M. A., & FLETCHER, J. M. (2009) · Journal of the International Neuropsychological Society · doi:10.1017/s1355617709090481 · Cited by 875

The Impact of Childhood Intelligence on Later Life: Following Up the Scottish Mental Surveys of 1932 and 1947.

Deary, I. J., Whiteman, M. C., Starr, J. M., Whalley, L. J., & Fox, H. C. (2004) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.86.1.130 · Cited by 809

Ambiguity and self-evaluation: The role of idiosyncratic trait definitions in self-serving assessments of ability.

Dunning, D., Meyerowitz, J. A., & Holzberg, A. D. (1989) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.57.6.1082 · Cited by 758

Diagnostic categories or dimensions? A question for the Diagnostic and statistical manual of mental disorders--fifth edition.

Widiger, T. A., & Samuel, D. B. (2005) · Journal of Abnormal Psychology · doi:10.1037/0021-843x.114.4.494 · Cited by 752

A general factor of personality: Evidence for the Big One in the five-factor model

Musek, J. (2007) · Journal of Research in Personality · doi:10.1016/j.jrp.2007.02.003 · Cited by 709

Genetics and intelligence differences: five special findings

Plomin, R., & Deary, I. J. (2015) · Molecular Psychiatry · doi:10.1038/mp.2014.105 · Cited by 702

Confirmatory tetrad analysis in PLS path modeling

Gudergan, S. P., Ringle, C. M., Wende, S., & Will, A. (2008) · Journal of Business Research · doi:10.1016/j.jbusres.2008.01.012 · Cited by 704

Influence functions of the Spearman and Kendall correlation measures

Croux, C., & Dehon, C. (2010) · Statistical Methods & Applications · doi:10.1007/s10260-010-0142-z · Cited by 634

Improving the evaluation of therapeutic interventions in multiple sclerosis: the role of new psychometric methods

Hobart, J., & Cano, S. (2009) · Health Technology Assessment · doi:10.3310/hta13120 · Cited by 621

Thriving at work: A meta‐analysis

Kleine, A., Rudolph, C. W., & Zacher, H. (2019) · Journal of Organizational Behavior · doi:10.1002/job.2375 · Cited by 606

Teacher and Teaching Effects on Students’ Attitudes and Behaviors

Blazar, D., & Kraft, M. A. (2017) · Educational Evaluation and Policy Analysis · doi:10.3102/0162373716670260 · Cited by 591

Intelligence: is it the epidemiologists’ elusive “fundamental cause” of social class inequalities in health?

Gottfredson, L. S. (2004) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.86.1.174 · Cited by 580

Personality Psychology and Economics

Almlund, M., Duckworth, A. L., Heckman, J., & Kautz, T. (2011) · National Bureau of Economic Research · doi:10.3386/w16822 · Cited by 540

The integration of continuous and discrete latent variable models: Potential problems and promising opportunities

Bauer, D. J., & Curran, P. J. (2004) · Psychological Methods · doi:10.1037/1082-989x.9.1.3 · Cited by 536

Rating scales as outcome measures for clinical trials in neurology: problems, solutions, and recommendations

Hobart, J. C., Cano, S. J., Zajicek, J. P., & Thompson, A. J. (2007) · The Lancet Neurology · doi:10.1016/s1474-4422(07)70290-9 · Cited by 495

Neurobiology of intelligence: science and ethics

Gray, J. R., & Thompson, P. M. (2004) · Nature Reviews Neuroscience · doi:10.1038/nrn1405 · Cited by 479

A Tutorial on Hierarchically Structured Constructs

Brunner, M., Nagy, G., & Wilhelm, O. (2012) · Journal of Personality · doi:10.1111/j.1467-6494.2011.00749.x · Cited by 459

The Theory of Multiple Intelligences

Gardner, H. (1987) · Annals of Dyslexia · doi:10.1007/bf02648057 · Cited by 447

Reliability and validity of the UK Biobank cognitive tests

Fawns-Ritchie, C., & Deary, I. J. (2020) · PLOS ONE · doi:10.1371/journal.pone.0231627 · Cited by 396

What No Child Left Behind leaves behind: The roles of IQ and self-control in predicting standardized achievement test scores and report card grades.

Duckworth, A. L., Quinn, P. D., & Tsukayama, E. (2012) · Journal of Educational Psychology · doi:10.1037/a0026280 · Cited by 416

Collective Intelligence and Group Performance

Woolley, A. W., Aggarwal, I., & Malone, T. W. (2015) · Current Directions in Psychological Science · doi:10.1177/0963721415599543 · Cited by 382

Deliberate practice: Is that all it takes to become an expert?

Hambrick, D. Z., Oswald, F. L., Altmann, E. M., Meinz, E. J., Gobet, F., & Campitelli, G. (2014) · Intelligence · doi:10.1016/j.intell.2013.04.001 · Cited by 370

Common genetic influences on negative emotionality and a general psychopathology factor in childhood and adolescence.

Tackett, J. L., Lahey, B. B., van Hulle, C., Waldman, I., Krueger, R. F., & Rathouz, P. J. (2013) · Journal of Abnormal Psychology · doi:10.1037/a0034151 · Cited by 360

Integrating high-content screening and ligand-target prediction to identify mechanism of action

Young, D. W., Bender, A., Hoyt, J., McWhinnie, E., Chirn, G.-W., Tao, C. Y., Tallarico, J. A., Labow, M., Jenkins, J. L., Mitchison, T. J., et al. (2008) · Nature Chemical Biology · doi:10.1038/nchembio.2007.53 · Cited by 345

Network neuroscience theory of human intelligence

Barbey, A. K. (2018) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2017.10.001 · Cited by 355

Lack of theory building and testing impedes progress in the factor and network literature

Fried, E. I. (2020) · Psychological Inquiry · doi:10.1080/1047840x.2020.1853461 · Cited by 317

ETHNIC GROUP DIFFERENCES IN COGNITIVE ABILITY IN EMPLOYMENT AND EDUCATIONAL SETTINGS: A META‐ANALYSIS

ROTH, P. L., BEVIER, C. A., BOBKO, P., SWITZER, F. S., & TYLER, P. (2001) · Personnel Psychology · doi:10.1111/j.1744-6570.2001.tb00094.x · Cited by 325

Spatial ability and STEM: A sleeping giant for talent identification and development

Lubinski, D. (2010) · Personality and Individual Differences · doi:10.1016/j.paid.2010.03.022 · Cited by 314

A combined analysis of genetically correlated traits identifies 187 loci and a role for neurogenesis and myelination in intelligence

Hill, W. D., Marioni, R. E., Maghzian, O., Ritchie, S. J., Hagenaars, S. P., McIntosh, A. M., Gale, C. R., Davies, G., & Deary, I. J. (2019) · Molecular Psychiatry · doi:10.1038/s41380-017-0001-5 · Cited by 311

The Prefrontal Cortex: Functional Neural Development During Early Childhood

Tsujimoto, S. (2008) · The Neuroscientist · doi:10.1177/1073858408316002 · Cited by 291

The nature of the black–white difference on various psychometric tests: Spearman's hypothesis

Jensen, A. R. (1985) · Behavioral and Brain Sciences · doi:10.1017/s0140525x00020392 · Cited by 284

Cognitive flexibility across the sleep-wake cycle: REM-sleep enhancement of anagram problem solving

Walker, M. P., Liston, C., Hobson, J. A., & Stickgold, R. (2002) · Cognitive Brain Research · doi:10.1016/s0926-6410(02)00134-9 · Cited by 272

Should I Quit My Day Job?: A Hybrid Path to Entrepreneurship

Raffiee, J., & Feng, J. (2014) · Academy of Management Journal · doi:10.5465/amj.2012.0522 · Cited by 273

Severe hypoglycemia and cognitive decline in older people with type 2 diabetes: The Edinburgh type 2 diabetes study

Feinkohl, I., Aung, P. P., Keller, M., Robertson, C. M., Morling, J. R., McLachlan, S., Deary, I. J., Frier, B. M., Strachan, M. W. J., Price, J. F., et al. (2014) · Diabetes Care · doi:10.2337/dc13-1384 · Cited by 266

Working Memory Capacity and Fluid Intelligence: Maintenance and Disengagement

Shipstead, Z., Harrison, T. L., & Engle, R. W. (2016) · Perspectives on Psychological Science · doi:10.1177/1745691616650647 · Cited by 238

The Emotion Regulation Questionnaire: Psychometric properties in general community samples

Preece, D. A., Becerra, R., Robinson, K., & Gross, J. J. (2020) · Journal of Personality Assessment · doi:10.1080/00223891.2018.1564319 · Cited by 237

HUMAN ABILITIES

Sternberg, R. J., & Kaufman, J. C. (1998) · Annual Review of Psychology · doi:10.1146/annurev.psych.49.1.479 · Cited by 213

Circulating metabolites and general cognitive ability and dementia: evidence from 11 cohort studies

van der Lee, S. J., Teunissen, C. E., Pool, R., Shipley, M. J., Teumer, A., Chouraki, V., Melo van Lent, D., Tynkkynen, J., Fischer, K., Hernesniemi, J., et al. (2018) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2017.11.012 · Cited by 197

The development of the general factor of psychopathology “p factor” through childhood and adolescence

Murray, A. L., Eisner, M., & Ribeaud, D. (2016) · Journal of Abnormal Child Psychology · doi:10.1007/s10802-016-0132-1 · Cited by 192

The relation between fluid intelligence and the general factor as a function of cultural background: A test of Cattell's Investment theory

Valentin Kvist, A., & Gustafsson, J.-E. (2008) · Intelligence · doi:10.1016/j.intell.2007.08.004 · Cited by 188

Rethinking expertise: a multifactorial gene–environment interaction model of expert performance.

Ullén, F., Hambrick, D. Z., & Mosing, M. A. (2016) · Psychological Bulletin · doi:10.1037/bul0000033 · Cited by 182

Cognitive Control: Core Constructs and Current Considerations

Cohen, J. D. (2017) · The Wiley Handbook of Cognitive Control · doi:10.1002/9781118920497.ch1 · Cited by 179

Genomic analysis of family data reveals additional genetic effects on intelligence and personality

Hill, W. D., Arslan, R. C., Xia, C., Luciano, M., Amador, C., Navarro, P., Hayward, C., Nagy, R., Porteous, D. J., McIntosh, A. M., et al. (2018) · Molecular Psychiatry · doi:10.1038/s41380-017-0005-1 · Cited by 158

Strategic offloading of delayed intentions into the external environment

Gilbert, S. J. (2015) · Quarterly Journal of Experimental Psychology · doi:10.1080/17470218.2014.972963 · Cited by 164

Are fit indices used to test psychopathology structure biased? A simulation study

Greene, A. L., Eaton, N. R., Li, K., Forbes, M. K., Krueger, R. F., Markon, K. E., Waldman, I. D., Cicero, D. C., Conway, C. C., Docherty, A. R., et al. (2019) · Journal of Abnormal Psychology · doi:10.1037/abn0000434 · Cited by 148

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

Mood, anxiety and psychotic phenomena measure a common psychopathological factor

Stochl, J., Khandaker, G. M., Lewis, G., Perez, J., Goodyer, I. M., Zammit, S., Sullivan, S., Croudace, T. J., & Jones, P. B. (2015) · Psychological Medicine · doi:10.1017/s003329171400261x · Cited by 153

Autism As a Disorder of High Intelligence

Crespi, B. J. (2016) · Frontiers in Neuroscience · doi:10.3389/fnins.2016.00300 · Cited by 156

Using common genetic variation to examine phenotypic expression and risk prediction in 22q11.2 deletion syndrome

International 22q11.2 Brain and Behavior Consortium, Davies, R. W., Fiksinski, A. M., Breetvelt, E. J., Williams, N. M., Hooper, S. R., Monfeuga, T., Bassett, A. S., Owen, M. J., Gur, R. E., et al. (2020) · Nature Medicine · doi:10.1038/s41591-020-1103-1 · Cited by 139

The Bias That Divides Us: The Science and Politics of Myside Thinking

Stanovich, K. E. (2021) · doi:10.7551/mitpress/13367.001.0001 · Cited by 152

Other-rated personality and academic performance: Evidence and implications

Poropat, A. E. (2014) · Learning and Individual Differences · doi:10.1016/j.lindif.2014.05.013 · Cited by 150

Construct validity of cognitive reserve in a multiethnic cohort: The Northern Manhattan Study

SIEDLECKI, K. L., STERN, Y., REUBEN, A., SACCO, R. L., ELKIND, M. S. V., & WRIGHT, C. B. (2009) · Journal of the International Neuropsychological Society · doi:10.1017/s1355617709090857 · Cited by 147

Personality and intelligence: A meta-analysis.

Anglim, J., Dunlop, P. D., Wee, S., Horwood, S., Wood, J. K., & Marty, A. (2022) · Psychological Bulletin · doi:10.1037/bul0000373 · Cited by 125

High “intelligence,” low “IQ”? Speed of processing and measured IQ in children with autism

SCHEUFFGEN, K., HAPPEÉ, F., ANDERSON, M., & FRITH, U. (2000) · Development and Psychopathology · doi:10.1017/s095457940000105x · Cited by 126

Cognitive epidemiology

Deary, I. J., & Batty, G. D. (2007) · Journal of Epidemiology and Community Health · doi:10.1136/jech.2005.039206 · Cited by 121

Intelligence: Foundations and issues in assessment

Gottfredson, L., & Saklofske, D. H. (2009) · Canadian Psychology/Psychologie canadienne · doi:10.1037/a0016641 · Cited by 118

Improving intelligence: a literature review

Buschkuehl, M., & Jaeggi, S. (2010) · Swiss Medical Weekly · doi:10.4414/smw.2010.12852 · Cited by 109

Exploratory bifactor analysis of the Wechsler Intelligence Scale for Children—Fifth Edition with the 16 primary and secondary subtests

Dombrowski, S. C., Canivez, G. L., Watkins, M. W., & Alexander Beaujean, A. (2015) · Intelligence · doi:10.1016/j.intell.2015.10.009 · Cited by 105

Explainable Artificial Intelligence: Evaluating the Objective and Subjective Impacts of xAI on Human-Agent Interaction

Silva, A., Schrum, M., Hedlund-Botti, E., Gopalan, N., & Gombolay, M. (2023) · International Journal of Human–Computer Interaction · doi:10.1080/10447318.2022.2101698 · Cited by 104

The Impact of Genetic Research on our Understanding of Normal Cognitive Ageing: 1995 to 2009

Payton, A. (2009) · Neuropsychology Review · doi:10.1007/s11065-009-9116-z · Cited by 95

This is a natural process’: managing menstrual stigma in Nepal

Crawford, M., Menger, L. M., & Kaufman, M. R. (2014) · Culture, Health & Sexuality · doi:10.1080/13691058.2014.887147 · Cited by 93

On the Quest for Effectiveness in Human Oversight: Interdisciplinary Perspectives

Sterz, S., Baum, K., Biewer, S., Hermanns, H., Lauber-Rönsberg, A., Meinel, P., & Langer, M. (2024) · The 2024 ACM Conference on Fairness Accountability and Transparency · doi:10.1145/3630106.3659051 · Cited by 91

Construct Validity of the WISC-IV with a Referred Sample: Direct versus Indirect Hierarchical Structures

Canivez, G. L. (2014) · School Psychology Quarterly · doi:10.1037/spq0000032 · Cited by 87

Joint segmentation of multivariate time series with hidden process regression for human activity recognition

Chamroukhi, F., Mohammed, S., Trabelsi, D., Oukhellou, L., & Amirat, Y. (2013) · Neurocomputing · doi:10.1016/j.neucom.2013.04.003 · Cited by 88

Expertise in emotion: A scoping review and unifying framework for individual differences in the mental representation of emotional experience

Hoemann, K., Nielson, C., Yuen, A., Gurera, J. W., Quigley, K. S., & Barrett, L. F. (2021) · Psychological Bulletin · doi:10.1037/bul0000327 · Cited by 83

The practitioner's view of IQ testing and profile analysis.

Pfeiffer, S. I., Reddy, L. A., Kletzel, J. E., Schmelzer, E. R., & Boyer, L. M. (2000) · School Psychology Quarterly · doi:10.1037/h0088795 · Cited by 72

The structure of intelligence in children with specific learning disabilities is different as compared to typically development children

Giofrè, D., & Cornoldi, C. (2015) · Intelligence · doi:10.1016/j.intell.2015.07.002 · Cited by 71

University students with attention deficit hyperactivity disorder (ADHD): a consensus statement from the UK Adult ADHD Network (UKAAN)

Sedgwick-Müller, J. A., Müller-Sedgwick, U., Adamou, M., Catani, M., Champ, R., Gudjónsson, G., Hank, D., Pitts, M., Young, S., & Asherson, P. (2022) · BMC Psychiatry · doi:10.1186/s12888-022-03898-z · Cited by 70