The Great Debate

Harrison J. Kell; Jonas W. B. Lang

doi:10.3390/books978-3-03921-168-5

Cited by 0Cognitive Abilities and TestingEducation, Achievement, and GiftednessCognitive and developmental aspects of mathematical skills

The Great Debate

Open access

Harrison J. Kell, Jonas W. B. Lang·2019·MDPI eBooks

DOI 10.3390/books978-3-03921-168-5

Open this paper in CoChat — free account

Abstract

There are many different theories of intelligence. Although these theories differ in their nuances, nearly all agree that there are multiple cognitive abilities and that they differ in the breadth of content they are typically associated with. There is much less agreement about the relative importance of cognitive abilities of differing generality for predicting important real-world outcomes, such as educational achievement, career success, job performance, and health. Some investigators believe that narrower abilities hold little predictive power once general abilities have been accounted for. Other investigators contend that specific abilities are often as—or even more—effective in forecasting many practical variables as general abilities. These disagreements often turn on differences of theory and methodology that are both subtle and complex. The five cutting-edge contributions in this volume, both empirical and theoretical, advance the conversation in this vigorous, and highly important, scientific debate.

Integrity signals

Registry

Crossref · 10.3390/books978-3-03921-168-5

Cites

233 of 233 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

R: A Language and Environment for Statistical Computing
R Core Team (2000) · doi:10.32614/r.manuals · Cited by 355,706 · see citing works
Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives
Hu, L., & Bentler, P. M. (1999) · Structural Equation Modeling A Multidisciplinary Journal · doi:10.1080/10705519909540118 · Cited by 108,788 · see citing works
Statistical Power Analysis for the Behavioral Sciences
Muller, K. E., & Cohen, J. (1989) · Technometrics · doi:10.2307/1270020 · Cited by 99,588 · see citing works
Support-vector networks
Cortes, C., & Vapnik, V. (1995) · Machine Learning · doi:10.1007/bf00994018 · Cited by 59,421 · see citing works
Alternative Ways of Assessing Model Fit
Browne, M. W., & Cudeck, R. (1992) · Sociological Methods & Research · doi:10.1177/0049124192021002005 · Cited by 27,200 · see citing works
Convergent and discriminant validation by the multitrait-multimethod matrix.
Campbell, D. T., & Fiske, D. W. (1959) · Psychological Bulletin · doi:10.1037/h0046016 · Cited by 17,116 · see citing works
The relation of strength of stimulus to rapidity of habit formation
Yerkes, R. M., & Dodson, J. D. (1908) · Journal of Comparative Neurology and Psychology · doi:10.1002/cne.920180503 · Cited by 6,911 · see citing works
"General Intelligence," Objectively Determined and Measured
Spearman, C. (1904) · The American Journal of Psychology · doi:10.2307/1412107 · Cited by 6,207 · see citing works
Personality and Assessment
Madison, P., & Mischel, W. (1968) · The American Journal of Psychology · doi:10.2307/1421067 · Cited by 4,395 · see citing works
The validity and utility of selection methods in personnel psychology: Practical and theoretical implications of 85 years of research findings.
Schmidt, F. L., & Hunter, J. E. (1998) · Psychological Bulletin · doi:10.1037//0033-2909.124.2.262 · Cited by 4,180 · see citing works
Acquisition of cognitive skill
Anderson, J. R. (1982) · Psychological Review · doi:10.1037/0033-295x.89.4.369 · Cited by 3,663 · see citing works
Conventional wisdom on measurement: A structural equation perspective.
Bollen, K., & Lennox, R. (1991) · Psychological Bulletin · doi:10.1037/0033-2909.110.2.305 · Cited by 3,618 · see citing works
Statistical difficulties of detecting interactions and moderator effects.
McClelland, G. H., & Judd, C. M. (1993) · Psychological Bulletin · doi:10.1037/0033-2909.114.2.376 · Cited by 3,270 · see citing works
psych: Procedures for Psychological, Psychometric, and Personality Research
Revelle, W. (2007) · doi:10.32614/cran.package.psych · Cited by 3,108 · see citing works
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 · see citing works
Effect size guidelines for individual differences researchers
Gignac, G. E., & Szodorai, E. T. (2016) · Personality and Individual Differences · doi:10.1016/j.paid.2016.06.069 · Cited by 2,860 · see citing works
The g factor: the science of mental ability
(1998) · Choice Reviews Online · doi:10.5860/choice.36-2443 · Cited by 2,760 · see citing works
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 · see citing works
Common method bias in regression models with linear, quadratic, and interaction effects.
Siemsen, E., Roth, A., & Oliveira, P. (2010) · Organizational Research Methods · doi:10.1177/1094428109351241 · Cited by 2,706 · see citing works
How people make their own environments: a theory of genotype greater than environment effects.
Scarr, S., & Mccartney, K. (1983) · Child Development · doi:10.1111/j.1467-8624.1983.tb03884.x · Cited by 2,385 · see citing works
A personality trait-based interactionist model of job performance
Tett, R. P., & Burnett, D. D. (2003) · Journal of Applied Psychology · doi:10.1037/0021-9010.88.3.500 · Cited by 2,241 · see citing works
The Rediscovery of Bifactor Measurement Models
Reise, S. P. (2012) · Multivariate Behavioral Research · doi:10.1080/00273171.2012.715555 · Cited by 2,112 · see citing works
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 · see citing works
Choosing Prediction Over Explanation in Psychology: Lessons From Machine Learning
Yarkoni, T., & Westfall, J. (2017) · Perspectives on Psychological Science · doi:10.1177/1745691617693393 · Cited by 1,930 · see citing works
Spatial ability for STEM domains: Aligning over 50 years of cumulative psychological knowledge solidifies its importance.
Wai, J., Lubinski, D., & Benbow, C. P. (2009) · Journal of Educational Psychology · doi:10.1037/a0016127 · Cited by 1,855 · see citing works
Essentials of Psychological Testing
Urbina, S. (2014) · doi:10.1002/9781394259458 · Cited by 1,845 · see citing works
On the Use of Beta Coefficients in Meta-Analysis.
Peterson, R. A., & Brown, S. P. (2005) · Journal of Applied Psychology · doi:10.1037/0021-9010.90.1.175 · Cited by 1,643 · see citing works
Educational Measurement
Humphreys, L. G., & Lindquist, E. F. (1952) · The American Journal of Psychology · doi:10.2307/1418848 · Cited by 1,511 · see citing works
Why g matters: The complexity of everyday life
Gottfredson, L. S. (1997) · Intelligence · doi:10.1016/s0160-2896(97)90014-3 · Cited by 1,408 · see citing works
Human cognitive abilities: A survey of factor-analytic studies
Eysenck, H. J. (1994) · Personality and Individual Differences · doi:10.1016/0191-8869(94)90126-0 · Cited by 1,392 · see citing works
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 · see citing works
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 · see citing works
Dominance analysis: A new approach to the problem of relative importance of predictors in multiple regression.
Budescu, D. V. (1993) · Psychological Bulletin · doi:10.1037/0033-2909.114.3.542 · Cited by 1,193 · see citing works
A Heuristic Method for Estimating the Relative Weight of Predictor Variables in Multiple Regression
JOHNSON, J. (2000) · Multivariate Behavioral Research · doi:10.1207/s15327906mbr3501_1 · Cited by 1,138 · see citing works
Intelligence: Its Structure, Growth and Action
(1986) · Advances in psychology · doi:10.1016/s0166-4115(08)x6006-6 · Cited by 1,093 · see citing works
Cognitive ability, cognitive aptitudes, job knowledge, and job performance
Hunter, J. E. (1986) · Journal of Vocational Behavior · doi:10.1016/0001-8791(86)90013-8 · Cited by 1,070 · see citing works
History and Use of Relative Importance Indices in Organizational Research
Johnson, J. W., & LeBreton, J. M. (2004) · Organizational Research Methods · doi:10.1177/1094428104266510 · Cited by 1,009 · see citing works
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 · see citing works
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 · see citing works
Academic performance, career potential, creativity, and job performance: can one construct predict them all?
Kuncel, N., Hezlett, S. A., & Ones, D. (2004) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.86.1.148 · Cited by 902 · see citing works
A theory of adult intellectual development: Process, personality, interests, and knowledge
Ackerman, P. L. (1996) · Intelligence · doi:10.1016/s0160-2896(96)90016-1 · Cited by 846 · see citing works
Automatic personality assessment through social media language.
Park, G., Schwartz, H. A., Eichstaedt, J. C., Kern, M. L., Kosinski, M., Stillwell, D. J., Ungar, L. H., & Seligman, M. E. P. (2015) · Journal of Personality and Social Psychology · doi:10.1037/pspp0000020 · Cited by 802 · see citing works
Correlational effect size benchmarks
Bosco, F. A., Aguinis, H., Singh, K., Field, J. G., & Pierce, C. A. (2015) · Journal of Applied Psychology · doi:10.1037/a0038047 · Cited by 768 · see citing works
Deep neural networks are more accurate than humans at detecting sexual orientation from facial images.
Wang, Y., & Kosinski, M. (2018) · Journal of Personality and Social Psychology · doi:10.1037/pspa0000098 · Cited by 766 · see citing works
Intelligence Reframed: Multiple Intelligences for the 21st Century
Altan, M., Gardner, H., & Altan, M. (2001) · TESOL Quarterly · doi:10.2307/3587873 · Cited by 711 · see citing works
The Labor Market Returns to Cognitive and Noncognitive Ability: Evidence from the Swedish Enlistment
Lindqvist, E., & Vestman, R. (2011) · American Economic Journal Applied Economics · doi:10.1257/app.3.1.101 · Cited by 673 · see citing works
Intelligence Predicts Health and Longevity, but Why?
Gottfredson, L. S., & Deary, I. J. (2004) · Current Directions in Psychological Science · doi:10.1111/j.0963-7214.2004.01301001.x · Cited by 623 · see citing works
The importance of motivation as a predictor of school achievement
Steinmayr, R., & Spinath, B. (2008) · Learning and Individual Differences · doi:10.1016/j.lindif.2008.05.004 · Cited by 592 · see citing works
The Math and Science Engagement Scales: Scale development, validation, and psychometric properties
Wang, M.-T., Fredricks, J. A., Ye, F., Hofkens, T. L., & Linn, J. S. (2016) · Learning and Instruction · doi:10.1016/j.learninstruc.2016.01.008 · Cited by 592 · see citing works
Modeling General and Specific Variance in Multifaceted Constructs: A Comparison of the Bifactor Model to Other Approaches
Chen, F. F., Hayes, A. M., Carver, C. S., Laurenceau, J., & Zhang, Z. (2011) · Journal of Personality · doi:10.1111/j.1467-6494.2011.00739.x · Cited by 540 · see citing works
Mechanics of verbal ability.
Hunt, E. (1978) · Psychological Review · doi:10.1037/0033-295x.85.2.109 · Cited by 540 · see citing works
Three Cs in measurement models: Causal indicators, composite indicators, and covariates.
Bollen, K. A., & Bauldry, S. (2011) · Psychological Methods · doi:10.1037/a0024448 · Cited by 535 · see citing works
Intelligence and school grades: A meta-analysis
Roth, B., Becker, N., Romeyke, S., Schäfer, S., Domnick, F., & Spinath, F. M. (2015) · Intelligence · doi:10.1016/j.intell.2015.09.002 · Cited by 531 · see citing works
The Cattell-Horn-Carroll model of intelligence.
Schneider, W. J., & McGrew, K. S. (2012) · Cited by 513 · see citing works
MODELING JOB PERFORMANCE IN A POPULATION OF JOBS
Campbell, J. P., McHenry, J. J., & Wise, L. L. (1990) · Personnel Psychology · doi:10.1111/j.1744-6570.1990.tb01561.x · Cited by 507 · see citing works
The Abilities of Man; Their Nature and Measurement.
Symonds, P. M., & Spearman, C. (1928) · The Journal of Philosophy · doi:10.2307/2015168 · Cited by 491 · see citing works
General and Specific Abilities as Predictors of School Achievement
Gustafsson, J., & Balke, G. (1993) · Multivariate Behavioral Research · doi:10.1207/s15327906mbr2804_2 · Cited by 490 · see citing works
I Like to Do It, I'm Able, and I Know I Am: Longitudinal Couplings Between Domain-Specific Achievement, Self-Concept, and Interest
Denissen, J. J. A., Zarrett, N. R., & Eccles, J. S. (2007) · Child Development · doi:10.1111/j.1467-8624.2007.01007.x · Cited by 488 · see citing works
Some Common Myths About Centering Predictor Variables in Moderated Multiple Regression and Polynomial Regression
Dalal, D. K., & Zickar, M. J. (2011) · Organizational Research Methods · doi:10.1177/1094428111430540 · Cited by 480 · see citing works
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 · see citing works
Predicting job performance: Not much more than g..
Ree, M. J., Earles, J. A., & Teachout, M. S. (1994) · Journal of Applied Psychology · doi:10.1037/0021-9010.79.4.518 · Cited by 448 · see citing works
Anomalous results in G-factor models: Explanations and alternatives.
Eid, M., Geiser, C., Koch, T., & Heene, M. (2016) · Psychological Methods · doi:10.1037/met0000083 · Cited by 441 · see citing works
The structure of human intelligence: It is verbal, perceptual, and image rotation (VPR), not fluid and crystallized
Johnson, W., & BOUCHARDJR, T. (2005) · Intelligence · doi:10.1016/j.intell.2004.12.002 · Cited by 433 · see citing works
Process Overlap Theory: A Unified Account of the General Factor of Intelligence
Kovacs, K., & Conway, A. R. A. (2016) · Psychological Inquiry · doi:10.1080/1047840x.2016.1153946 · Cited by 432 · see citing works
On the Relationship between the Higher-Order Factor Model and the Hierarchical Factor Model
Yung, Y., Thissen, D., & McLeod, L. (1999) · Psychometrika · doi:10.1007/bf02294531 · Cited by 412 · see citing works
Doing it all Bass-Ackwards: The development of hierarchical factor structures from the top down
Goldberg, L. R. (2006) · Journal of Research in Personality · doi:10.1016/j.jrp.2006.01.001 · Cited by 409 · see citing works
Masking misfit in confirmatory factor analysis by increasing unique variances: A cautionary note on the usefulness of cutoff values of fit indices.
Heene, M., Hilbert, S., Draxler, C., Ziegler, M., & Bühner, M. (2011) · Psychological Methods · doi:10.1037/a0024917 · Cited by 406 · see citing works
Potential problems with "well fitting" models.
Tomarken, A. J., & Waller, N. G. (2003) · Journal of Abnormal Psychology · doi:10.1037/0021-843x.112.4.578 · Cited by 393 · see citing works
PROJECT A VALIDITY RESULTS: THE RELATIONSHIP BETWEEN PREDICTOR AND CRITERION DOMAINS
McHenry, J. J., Hough, L. M., TOQUAM, J. L., Hanson, M. A., & Ashworth, S. D. (1990) · Personnel Psychology · doi:10.1111/j.1744-6570.1990.tb01562.x · Cited by 385 · see citing works
Interaction, nonlinearity, and multicollinearity: Implications for multiple regression
Cortina, J. (1993) · Journal of Management · doi:10.1016/0149-2063(93)90035-l · Cited by 376 · see citing works
Beyond alpha: An empirical examination of the effects of different sources of measurement error on reliability estimates for measures of individual-differences constructs.
Schmidt, F. L., Le, H., & Ilies, R. (2003) · Psychological Methods · doi:10.1037/1082-989x.8.2.206 · Cited by 362 · see citing works
Personnel selection: looking toward the future--remembering the past.
Hough, L., & Oswald, F. (2000) · Annual Review of Psychology · doi:10.1146/annurev.psych.51.1.631 · Cited by 358 · see citing works
Just one g: consistent results from three test batteries
Johnson, W., Bouchard, T. J., Krueger, R. F., McGue, M., & Gottesman, I. I. (2004) · Intelligence · doi:10.1016/s0160-2896(03)00062-x · Cited by 353 · see citing works
Correlations of mental tests with each other and with cognitive variables are highest for low IQ groups
Detterman, D. K., & Daniel, M. H. (1989) · Intelligence · doi:10.1016/s0160-2896(89)80007-8 · Cited by 349 · see citing works
Differentiation of cognitive abilities across the life span.
Tucker–Drob, E. M. (2009) · Developmental Psychology · doi:10.1037/a0015864 · Cited by 328 · see citing works
PREDICTING TRAINING SUCCESS: NOT MUCH MORE THAN g
Ree, M., & Earles, J. (2006) · Personnel Psychology · doi:10.1111/j.1744-6570.1991.tb00961.x · Cited by 307 · see citing works
Still just 1 g: Consistent results from five test batteries
Johnson, W., Nijenhuis, J. T., & Bouchard, T. J. (2008) · Intelligence · doi:10.1016/j.intell.2007.06.001 · Cited by 304 · see citing works
The limitations of model fit in comparing the bi-factor versus higher-order models of human cognitive ability structure
Murray, A. L., & Johnson, W. (2013) · Intelligence · doi:10.1016/j.intell.2013.06.004 · Cited by 302 · see citing works
Effects of individual differences on the performance of hierarchical decision-making teams: Much more than g.
LePine, J. A., Hollenbeck, J. R., Ilgen, D. R., & Hedlund, J. (1997) · Journal of Applied Psychology · doi:10.1037/0021-9010.82.5.803 · Cited by 299 · see citing works
Top 1 in 10,000: A 10-year follow-up of the profoundly gifted.
Lubinski, D., Webb, R. M., Morelock, M. J., & Benbow, C. P. (2001) · Journal of Applied Psychology · doi:10.1037/0021-9010.86.4.718 · Cited by 294 · see citing works
Representing general theoretical concepts in structural equation models: the role of composite variables
Grace, J. B., & Bollen, K. A. (2007) · Environmental and Ecological Statistics · doi:10.1007/s10651-007-0047-7 · Cited by 290 · see citing works
Emotional intelligence is a second-stratum factor of intelligence: Evidence from hierarchical and bifactor models.
MacCann, C., Joseph, D. L., Newman, D. A., & Roberts, R. D. (2013) · Emotion · doi:10.1037/a0034755 · Cited by 271 · see citing works
ACT and general cognitive ability
Koenig, K. A., Frey, M. C., & Detterman, D. K. (2007) · Intelligence · doi:10.1016/j.intell.2007.03.005 · Cited by 265 · see citing works
Some experimental results in the correlation of mental abilities.
Brown, W. G. (1910) · British Journal of Psychology · Cited by 265 · see citing works
Intelligence and the differentiation hypothesis
Deary, I. J., Egan, V., Gibson, G. J., Austin, E. J., Brand, C. R., & Kellaghan, T. (1996) · Intelligence · doi:10.1016/s0160-2896(96)90008-2 · Cited by 261 · see citing works
Verbal fluency and creativity: general and specific contributions of broad retrieval ability (Gr) factors to divergent thinking
Silvia, P. J., Beaty, R. E., & Nusbaum, E. C. (2013) · Intelligence · doi:10.1016/j.intell.2013.05.004 · Cited by 247 · see citing works
When Can Subscores Have Value?
Haberman, S. J. (2008) · Journal of Educational and Behavioral Statistics · doi:10.3102/1076998607302636 · Cited by 240 · see citing works
Individual differences and their measurement: A review of 100 years of research.
Sackett, P. R., Lievens, F., Iddekinge, C. H. V., & Kuncel, N. R. (2017) · Journal of Applied Psychology · doi:10.1037/apl0000151 · Cited by 239 · see citing works
Understanding “It Depends” in Organizational Research
Gardner, R. G., Harris, T. B., Li, N., Kirkman, B. L., & Mathieu, J. E. (2017) · Organizational Research Methods · doi:10.1177/1094428117708856 · Cited by 233 · see citing works
Who Rises to the Top? Early Indicators
Kell, H. J., Lubinski, D., & Benbow, C. P. (2013) · Psychological Science · doi:10.1177/0956797612457784 · Cited by 230 · see citing works
Self-citation
Analyzing the Reliability of Multidimensional Measures: An Example from Intelligence Research
Brunner, M., & Süß, H. (2005) · Educational and Psychological Measurement · doi:10.1177/0013164404268669 · Cited by 229 · see citing works
Educational Attainment and Health: Evidence from a Sample of Older Adults
Adams, S. J. (2002) · Education Economics · doi:10.1080/09645290110110227 · Cited by 198 · see citing works
Predicting College Success with High School Grades and Test Scores: Limitations for Minority Students
Hoffman, J. L., & Lowitzki, K. E. (2005) · Review of higher education/The review of higher education · doi:10.1353/rhe.2005.0042 · Cited by 198 · see citing works
Racial group differences in employment interview evaluations.
Huffcutt, A. I., & Roth, P. L. (1998) · Journal of Applied Psychology · doi:10.1037/0021-9010.83.2.179 · Cited by 196 · see citing works
Creativity and Occupational Accomplishments Among Intellectually Precocious Youths: An Age 13 to Age 33 Longitudinal Study.
Wai, J., Lubinski, D., & Benbow, C. P. (2005) · Journal of Educational Psychology · doi:10.1037/0022-0663.97.3.484 · Cited by 191 · see citing works
The correlation of mental and physical tests.
Wissler, C. (1901) · The Psychological Monographs · doi:10.1037/h0092995 · Cited by 191 · see citing works
Naming the mind: How psychology found its language
Wertheimer, M. (1998) · Journal of the History of the Behavioral Sciences · doi:10.1002/(sici)1520-6696(199821)34:2 · Cited by 189 · see citing works
A Monte Carlo Comparison of Relative Importance Methodologies
LeBreton, J. M., Ployhart, R. E., & Ladd, R. T. (2004) · Organizational Research Methods · doi:10.1177/1094428104266017 · Cited by 184 · see citing works
SAT and ACT predict college GPA after removing g
Coyle, T. R., & Pillow, D. R. (2008) · Intelligence · doi:10.1016/j.intell.2008.05.001 · Cited by 174 · see citing works
Predicting pilot and navigator criteria : not much more than g
Olea, M. M., & Ree, M. (1994) · Journal of Applied Psychology · doi:10.1037/0021-9010.79.6.845 · Cited by 168 · see citing works
Sex differences in mental abilities: g masks the dimensions on which they lie
Johnson, W., & Bouchard, T. J. (2006) · Intelligence · doi:10.1016/j.intell.2006.03.012 · Cited by 167 · see citing works
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 163 · see citing works
What you do in high school matters: high school GPA, educational attainment, and labor market earnings as a young adult.
French, M. T., Homer, J. F., Popovici, I., & Robins, P. K. (2015) · Eastern Economic Journal · doi:10.1057/eej.2014.22 · Cited by 160 · see citing works
Can super smart leaders suffer from too much of a good thing? The curvilinear effect of intelligence on perceived leadership behavior.
Antonakis, J., House, R. J., & Simonton, D. K. (2017) · Journal of Applied Psychology · doi:10.1037/apl0000221 · Cited by 159 · see citing works
Network Models for Cognitive Development and Intelligence
van der Maas, H. L. J., Kan, K., Marsman, M., & Stevenson, C. E. (2017) · Journal of Intelligence · doi:10.3390/jintelligence5020016 · Cited by 156 · see citing works
Reliability and behavior domain validity: Reformulation and historical critique.
Tryon, R. C. (1957) · Psychological Bulletin · doi:10.1037/h0047980 · Cited by 155 · see citing works
Using beta coefficients to impute missing correlations in meta-analysis research: Reasons for caution.
Roth, P. L., Le, H., Oh, I., Iddekinge, C. H. V., & Bobko, P. (2018) · Journal of Applied Psychology · doi:10.1037/apl0000293 · Cited by 155 · see citing works
Gender differences in school success: what are the roles of students’ intelligence, personality and motivation?
Spinath, B., Eckert, C., & Steinmayr, R. (2014) · Educational Research · doi:10.1080/00131881.2014.898917 · Cited by 152 · see citing works
Factor Indeterminacy in the 1930’s and the 1970’s Some Interesting Parallels
Steiger, J. H. (1979) · Psychometrika · doi:10.1007/bf02293967 · Cited by 152 · see citing works
Processing speed, intelligence, creativity, and school performance: Testing of causal hypotheses using structural equation models
Rindermann, H., & Neubauer, A. C. (2004) · Intelligence · doi:10.1016/j.intell.2004.06.005 · Cited by 151 · see citing works
Investigating the paths between working memory, intelligence, knowledge, and complex problem-solving performances via Brunswik symmetry.
Wittmann, W. W., & Süß, H.-M. (2004) · Learning and individual differences: Process, trait, and content determinants. · doi:10.1037/10315-004 · Cited by 139 · see citing works
From then to now: The development of industrial-organizational psychology in the United States.
Katzell, R. A., & Austin, J. T. (1992) · Journal of Applied Psychology · doi:10.1037/0021-9010.77.6.803 · Cited by 139 · see citing works
Perception and the Representative Design of Psychological Experiments
Brunswik, E. (2023) · University of California Press eBooks · doi:10.2307/jj.8501445 · Cited by 138 · see citing works
How Often Do Subscores Have Added Value? Results from Operational and Simulated Data
Sinharay, S. (2010) · Journal of Educational Measurement · doi:10.1111/j.1745-3984.2010.00106.x · Cited by 132 · see citing works
Assessing vocational preferences among gifted adolescents adds incremental validity to abilities: A discriminant analysis of educational outcomes over a 10-year interval.
Achter, J. A., Lubinski, D., Benbow, C. P., & Eftekhari-Sanjani, H. (1999) · Journal of Educational Psychology · doi:10.1037/0022-0663.91.4.777 · Cited by 131 · see citing works
Testing the Army's Intelligence: Psychologists and the Military in World War I
Kevles, D. J. (1968) · Journal of American History · doi:10.2307/1891014 · Cited by 129 · see citing works
Why Psychological Assessment Needs to Start Worrying About Model Fit
Greiff, S., & Heene, M. (2017) · European Journal of Psychological Assessment · doi:10.1027/1015-5759/a000450 · Cited by 126 · see citing works
Spearman's law of diminishing returns. A meta-analysis
Blum, D., & Holling, H. (2017) · Intelligence · doi:10.1016/j.intell.2017.07.004 · Cited by 120 · see citing works
The General Factor of Intelligence: How General Is It?
Bates, T. C. (2002) · Intelligence · doi:10.1016/s0160-2896(02)00144-7 · Cited by 118 · see citing works
A watershed model of individual differences in fluid intelligence
Kievit, R., Davis, S. W., Griffiths, J. D., Correia, M., Cam‐CAN, & Henson, R. N. (2016) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2016.08.008 · Cited by 118 · see citing works
The Primary Mental Ability
Humphreys, L. G. (1981) · Springer eBooks · doi:10.1007/978-1-4684-1083-9_7 · Cited by 116 · see citing works
On the nature of crystallized intelligence: the relationship between verbal ability and factual knowledge
Schipolowski, S., Wilhelm, O., & Schroeders, U. (2014) · Intelligence · doi:10.1016/j.intell.2014.05.014 · Cited by 113 · see citing works
Intelligence is multidimensional: Theoretical review and implications of specific cognitive abilities
Schneider, W. J., & Newman, D. A. (2014) · Human Resource Management Review · doi:10.1016/j.hrmr.2014.09.004 · Cited by 110 · see citing works
GENERAL MENTAL ABILITY, NARROWER COGNITIVE ABILITIES, AND JOB PERFORMANCE: THE PERSPECTIVE OF THE NESTED-FACTORS MODEL OF COGNITIVE ABILITIES
Lang, J. W. B., Kersting, M., Hulsheger, U. R., & Lang, J. (2010) · Personnel Psychology · doi:10.1111/j.1744-6570.2010.01182.x · Cited by 108 · see citing works
Self-citation
Mutualistic Coupling Between Vocabulary and Reasoning Supports Cognitive Development During Late Adolescence and Early Adulthood
Kievit, R., Lindenberger, U., Goodyer, I., Jones, P., Fonagy, P., Bullmore, E., & Dolan, R. (2017) · Psychology Science · doi:10.1177/0956797617710785 · Cited by 101 · see citing works
Modeling differentiation of cognitive abilities within the higher-order factor model using moderated factor analysis
Molenaar, D., Dolan, C., Wicherts, J., & van der Maas, H. V. D. (2010) · Intelligence · doi:10.1016/j.intell.2010.09.002 · Cited by 100 · see citing works
Individual Psychology: A Study in Psychological Method
Sharp, S. E. (1899) · The American Journal of Psychology · doi:10.2307/1412140 · Cited by 100 · see citing works
Problems of Research in Social Psychology (1943-44).
Lewin, G. W. (2004) · American Psychological Association eBooks · doi:10.1037/10269-021 · Cited by 100 · see citing works
Bifactor Models for Predicting Criteria by General and Specific Factors: Problems of Nonidentifiability and Alternative Solutions
Eid, M., Krumm, S., Koch, T., & Schulze, J. (2018) · Journal of Intelligence · doi:10.3390/jintelligence6030042 · Cited by 99 · see citing works
Labor force projections to 2022: the labor force participation rate continues to fall
Toossi, M. (2013) · Monthly labor review · doi:10.21916/mlr.2013.40 · Cited by 96 · see citing works
Much ado about nothing: The person–situation debate
Hogan, R. T. (2009) · Journal of Research in Personality · doi:10.1016/j.jrp.2009.01.022 · Cited by 95 · see citing works
Exceptional Cognitive Ability: The Phenotype
Lubinski, D. (2009) · Behavior Genetics · doi:10.1007/s10519-009-9273-0 · Cited by 93 · see citing works
What One Intelligence Test Measures: A Theoretical Account of the Processing in the Raven Progressive Matrices Test
Carpenter, P. A., Just, M. A., & Shell, P. (1990) · doi:10.21236/ada221448 · Cited by 93 · see citing works
The Theory and Classification of Criterion Bias
Brogden, H. E., & Taylor, E. K. (1950) · Educational and Psychological Measurement · doi:10.1177/001316445001000201 · Cited by 91 · see citing works
Sex, intelligence and educational achievement in a national cohort of over 175,000 11-year-old schoolchildren in England
Calvin, C. M., Fernandes, C., Smith, P., Visscher, P. M., & Deary, I. J. (2010) · Intelligence · doi:10.1016/j.intell.2010.04.005 · Cited by 89 · see citing works
The strength of g at different levels of ability: Have Detterman and Daniel rediscovered Spearman's “law of diminishing returns”?
Deary, I. J., & Pagliari, C. (1991) · Intelligence · doi:10.1016/0160-2896(91)90033-a · Cited by 89 · see citing works
The Cattell–Horn–Carroll Model of Cognition for Clinical Assessment
Jewsbury, P. A., Bowden, S. C., & Duff, K. M. (2016) · Journal of Psychoeducational Assessment · doi:10.1177/0734282916651360 · Cited by 89 · see citing works
Who Will Succeed in College? When The SAT Predicts Black Students' Performance
Fleming, J. (2002) · Review of higher education/The review of higher education · doi:10.1353/rhe.2002.0010 · Cited by 88 · see citing works
An NCME Instructional Module on Subscores
Sinharay, S., Puhan, G., & Haberman, S. J. (2011) · Educational Measurement Issues and Practice · doi:10.1111/j.1745-3992.2011.00208.x · Cited by 87 · see citing works
Bifactor Models of Personality and College Student Performance: A Broad versus Narrow View
McAbee, S. T., Oswald, F. L., & Connelly, B. S. (2014) · European Journal of Personality · doi:10.1002/per.1975 · Cited by 86 · see citing works
On the interpretation of the CHC factor Gc
Kan, K., Kievit, R., Dolan, C. V., & van der Maas, H. L. J. (2011) · Intelligence · doi:10.1016/j.intell.2011.05.003 · Cited by 85 · see citing works
Examining the integrity of measurement of cognitive abilities in the prediction of achievement: Comparisons and contrasts across variables from higher-order and bifactor models
Benson, N. F., Kranzler, J. H., & Floyd, R. G. (2016) · Journal of School Psychology · doi:10.1016/j.jsp.2016.06.001 · Cited by 84 · see citing works
The interplay of g and mathematical abilities in large-scale assessments across grades
Saß, S., Kampa, N., & Köller, O. (2017) · Intelligence · doi:10.1016/j.intell.2017.05.001 · Cited by 82 · see citing works
Evaluating dimensional distinctness with correlated-factor models: Limitations and suggestions
Gignac, G. E., & Kretzschmar, A. (2017) · Intelligence · doi:10.1016/j.intell.2017.04.001 · Cited by 81 · see citing works
INCREMENTAL VALIDITY OF PERCEPTUAL SPEED AND ACCURACY OVER GENERAL MENTAL ABILITY
Mount, M., Oh, I.-S., & Burns, M. (2008) · Personnel Psychology · doi:10.1111/j.1744-6570.2008.00107.x · Cited by 80 · see citing works
Fluid intelligence, personality traits and scholastic success: Empirical evidence in a sample of Italian high school students
Fabio, A. D., & Busoni, L. (2007) · Personality and Individual Differences · doi:10.1016/j.paid.2007.06.025 · Cited by 79 · see citing works
Predicting academic success with the Big 5 rated from different points of view: Self‐rated, other rated and faked
Ziegler, M. D., Danay, E., Schölmerich, F., & Bühner, M. (2010) · European Journal of Personality · doi:10.1002/per.753 · Cited by 76 · see citing works
Specific Aptitude Theory Revisited: Is there Incremental Validity for Training Performance?
Brown, K., Le, H., & Schmidt, F. (2006) · International Journal of Selection and Assessment · doi:10.1111/j.1468-2389.2006.00336.x · Cited by 72 · see citing works
Experience Producing Drive Theory: how genes drive experience and shape personality
Bouchard, T. J. (1997) · Acta Paediatrica · doi:10.1111/j.1651-2227.1997.tb18347.x · Cited by 72 · see citing works
The Role of Cognitive Ability Tests in Employment Selection
Outtz, J. L. (2002) · Human Performance · doi:10.1080/08959285.2002.9668089 · Cited by 69 · see citing works
The patterned behavior description interview: The best prophet of the future is the past.
Janz, T. (1989) · Cited by 69 · see citing works
Spatial Ability: A Neglected Talent in Educational and Occupational Settings
Kell, H. J., & Lubinski, D. (2013) · Roeper Review · doi:10.1080/02783193.2013.829896 · Cited by 64 · see citing works
Self-citation
Building a profile of subjective well-being for social media users
Chen, L., Gong, T., Kosiński, M., Stillwell, D. J., & Davidson, R. (2017) · PLoS ONE · doi:10.1371/journal.pone.0187278 · Cited by 63 · see citing works
Intelligence and Educational Achievement.
Wolfe, J. B. (2007) · doi:10.1037/11399-019 · Cited by 61 · see citing works
Controversy and consensus regarding the use of cognitive ability testing in organizations.
Murphy, K. R., Cronin, B. E., & Tam, A. P. (2003) · Journal of Applied Psychology · doi:10.1037/0021-9010.88.4.660 · Cited by 60 · see citing works
Four successful tests of the Cognitive Differentiation-Integration Effort hypothesis
Woodley, M., Figueredo, A., Brown, S. D., & Ross, K. C. (2013) · Intelligence · doi:10.1016/j.intell.2013.02.002 · Cited by 60 · see citing works
The multiple face(t)s of state conscientiousness: Predicting task performance and organizational citizenship behavior☆
Debusscher, J., Hofmans, J., & Fruyt, F. D. (2017) · Journal of Research in Personality · doi:10.1016/j.jrp.2016.06.009 · Cited by 60 · see citing works
Unique self-leadership: A bifactor model approach
Furtner, M. R., Rauthmann, J. F., & Sachse, P. (2013) · Leadership · doi:10.1177/1742715013511484 · Cited by 59 · see citing works
Validity Generalization for Cognitive, Psychomotor, and perceptual Tests for Craft Jobs in the Utility Industry
Levine, E. L., Spector, P. E., Menon, S., & Narayanan, L. (1996) · Human Performance · doi:10.1207/s15327043hup0901_1 · Cited by 58 · see citing works
The stability of validity coefficients over time: Ackerman's (1988) model and the General Aptitude Test Battery.
Farrell, J. N., & McDaniel, M. A. (2001) · Journal of Applied Psychology · doi:10.1037/0021-9010.86.1.60 · Cited by 58 · see citing works
Ability tilt on the SAT and ACT predicts specific abilities and college majors
Coyle, T. R., Purcell, J. M., Snyder, A. C., & Richmond, M. C. (2014) · Intelligence · doi:10.1016/j.intell.2014.04.008 · Cited by 57 · see citing works
Big Five facets as predictor of job training performance: The role of specific job demands
Ziegler, M. D., Bensch, D., Maaß, U., Schult, V., Vogel, M., & Bühner, M. (2013) · Learning and Individual Differences · doi:10.1016/j.lindif.2013.10.008 · Cited by 57 · see citing works
Agreements and Disagreements on the Role of General Mental Ability (GMA) in Industrial, Work, and Organizational Psychology
Viswesvaran, C., & Ones, D. (2002) · Human Performance · doi:10.1080/08959285.2002.9668092 · Cited by 56 · see citing works
How do the big five influence scholastic performance? A big five-narrow traits model or a double mediation model
Zhang, J., & Ziegler, M. D. (2016) · Learning and Individual Differences · doi:10.1016/j.lindif.2016.07.011 · Cited by 56 · see citing works
The Past, Present, and Future of Dynamic Performance Research
Sturman, M. (2007) · Research in personnel and human resources management · doi:10.1016/s0742-7301(07)26002-5 · Cited by 54 · see citing works
Predicting School Achievement from Motivation and Personality
Steinmayr, R., & Spinath, B. (2007) · Zeitschrift für Pädagogische Psychologie · doi:10.1024/1010-0652.21.3.207 · Cited by 54 · see citing works
General distress is more important than PTSD’s cognition and mood alterations factor in accounting for PTSD and depression’s comorbidity
Byllesby, B. M., Elhai, J. D., Tamburrino, M., Fine, T. H., Cohen, G. H., Sampson, L., Shirley, E. R., Chan, P. K., Liberzon, I., Galea, S., et al. (2017) · Journal of Affective Disorders · doi:10.1016/j.jad.2017.01.014 · Cited by 51 · see citing works
General and Specific Cognitive and Psychomotor Abilities in Personnel Selection: The Prediction of Training and Job Performance
Carretta, T. R., & Ree, M. J. (2000) · International Journal of Selection and Assessment · doi:10.1111/1468-2389.00152 · Cited by 50 · see citing works
Behavior Domains in Theory and in Practice
McDonald, R. P. (2003) · Alberta Journal of Educational Research · doi:10.55016/ojs/ajer.v49i3.54980 · Cited by 50 · see citing works
How does music training predict cognitive abilities? A bifactor approach to musical expertise and intelligence.
Silvia, P. J., Thomas, K. S. C., Nusbaum, E. C., Beaty, R. E., & Hodges, D. A. (2016) · Psychology of Aesthetics Creativity and the Arts · doi:10.1037/aca0000058 · Cited by 50 · see citing works
Clever people: Intelligence and humor production ability.
Christensen, A. P., Silvia, P. J., Nusbaum, E. C., & Beaty, R. E. (2016) · Psychology of Aesthetics Creativity and the Arts · doi:10.1037/aca0000109 · Cited by 49 · see citing works
Pervasiveness of Dominant General Factors in Organizational Measurement
Ree, M. J., Carretta, T. R., & Teachout, M. S. (2015) · Industrial and Organizational Psychology · doi:10.1017/iop.2015.16 · Cited by 48 · see citing works
Relations among general intelligence (g), aptitude tests, and GPA: Linear effects dominate
Coyle, T. R. (2015) · Intelligence · doi:10.1016/j.intell.2015.08.005 · Cited by 47 · see citing works
The exchangeability of IQs: Implications for professional psychology.
Floyd, R. G., CLARK, M. H., & Shadish, W. R. (2008) · Professional Psychology Research and Practice · doi:10.1037/0735-7028.39.4.414 · Cited by 47 · see citing works
Reflections about intelligence over 40 years
Flynn, J. R. (2018) · Intelligence · doi:10.1016/j.intell.2018.06.007 · Cited by 47 · see citing works
Comparing models of intelligence in Project TALENT: The VPR model fits better than the CHC and extended Gf–Gc models
Major, J. T., Johnson, W., & Deary, I. J. (2012) · Intelligence · doi:10.1016/j.intell.2012.07.006 · Cited by 46 · see citing works
Beyond questionable research methods: The role of omitted relevant research in the credibility of research.
Schmidt, F. L. (2017) · Archives of Scientific Psychology · doi:10.1037/arc0000033 · Cited by 45 · see citing works
Sex differences in ability tilt: Support for investment theory
Coyle, T. R., Snyder, A. C., & Richmond, M. C. (2015) · Intelligence · doi:10.1016/j.intell.2015.04.012 · Cited by 45 · see citing works
Testing a bi-factor model to disentangle general and specific factors of motivation in self-determination theory
Gunnell, K. E., & Gaudreau, P. (2015) · Personality and Individual Differences · doi:10.1016/j.paid.2014.12.059 · Cited by 45 · see citing works
The essentials of mental measurement.
Brown, W., & Thomson, G. H. (1921) · Cambridge University Press eBooks · doi:10.1037/11188-000 · Cited by 45 · see citing works
More than g: Selection quality and adverse impact implications of considering second-stratum cognitive abilities.
Wee, S., Newman, D. A., & Joseph, D. L. (2013) · Journal of Applied Psychology · doi:10.1037/a0035183 · Cited by 44 · see citing works
Reversed hierarchy in the brain for general and specific cognitive abilities: A morphometric analysis
Román, F. J., Abad, F. J., Escorial, S., Burgaleta, M., Martínez, K., Álvarez‐Linera, J., Quiroga, M. Á., Karama, S., Haier, R. J., & Colom, R. (2014) · Human Brain Mapping · doi:10.1002/hbm.22438 · Cited by 43 · see citing works
Intelligence and Reasoning
Lohman, D. F., & Lakin, J. M. (2011) · The Cambridge Handbook of Intelligence · doi:10.1017/cbo9780511977244.022 · Cited by 42 · see citing works
Intelligence–personality associations reconsidered: The importance of distinguishing between general and narrow dimensions of intelligence
Reeve, C. L. L., Meyer, R. D., & Bonaccio, S. (2006) · Intelligence · doi:10.1016/j.intell.2005.11.001 · Cited by 41 · see citing works
Using Machine Learning to Advance Personality Assessment and TheoryPreprint
Bleidorn, W., & Hopwood, C. J. (2018) · doi:10.31234/osf.io/ctr5g · Cited by 41 · see citing works
Incremental efficacy of Differential Ability Scales factor scores in predicting individual achievement criteria.
Youngstrom, E. A., Youngstrom, J. K., & Glutting, J. J. (1999) · School Psychology Quarterly · doi:10.1037/h0088996 · Cited by 39 · see citing works
The status of applied psychology in the United States.
Terman, L. M. (1921) · Journal of Applied Psychology · doi:10.1037/h0072418 · Cited by 38 · see citing works
Placing inspection time, reaction time, and perceptual speed in the broader context of cognitive ability: The VPR model in the Lothian Birth Cohort 1936
Johnson, W., & Deary, I. J. (2011) · Intelligence · doi:10.1016/j.intell.2011.07.003 · Cited by 38 · see citing works
Non-g Factors Predict Educational and Occupational Criteria: More than g
Coyle, T. R. (2018) · Journal of Intelligence · doi:10.3390/jintelligence6030043 · Cited by 38 · see citing works
Predicting Training Success with General Mental Ability, Specific Ability Tests, and (Un)Structured Interviews: A meta-analysis with unique samples
Ziegler, M. D., Dietl, E., Danay, E., Vogel, M., & Bühner, M. (2011) · International Journal of Selection and Assessment · doi:10.1111/j.1468-2389.2011.00544.x · Cited by 37 · see citing works
Validity in Educational and Psychological Assessment
Squires, G. (2014) · Assessment and Development Matters · doi:10.53841/bpsadm.2014.6.3.26 · Cited by 37 · see citing works
Interaction Effects between Openness and Fluid Intelligence Predicting Scholastic Performance
Zhang, J., & Ziegler, M. D. (2015) · Journal of Intelligence · doi:10.3390/jintelligence3030091 · Cited by 36 · see citing works
Predictions of Academic Performance in Graduate and Professional School
Lin, P.-C., & Humphreys, L. G. (1977) · Applied Psychological Measurement · doi:10.1177/014662167700100211 · Cited by 36 · see citing works
Survey of opinions on the primacy of g and social consequences of ability testing: A comparison of expert and non-expert views
Reeve, C. L. L., & Charles, J. E. (2008) · Intelligence · doi:10.1016/j.intell.2008.03.007 · Cited by 36 · see citing works
THE IMPLICATIONS FOR PERSONNEL SELECTION OF APPARENT DECLINES IN PREDICTIVE VALIDITIES OVER TIME: A CRITIQUE OF HULIN, HENRY, AND NOON
Barrett, G. V., Alexander, R. A., & Doverspike, D. D. (1992) · Personnel Psychology · doi:10.1111/j.1744-6570.1992.tb00862.x · Cited by 33 · see citing works
After Binet: French intelligence testing, 1900–1950
Schneider, W. H. (1992) · Journal of the History of the Behavioral Sciences · doi:10.1002/1520-6696(199204)28:2 · Cited by 33 · see citing works
On the Possibility of an Applied Psychology.
Bingham, W. V. (1923) · Psychological Review · doi:10.1037/h0075860 · Cited by 32 · see citing works
Non-g residuals of the SAT and ACT predict specific abilities
Coyle, T. R., Purcell, J. M., Snyder, A. C., et al. (2013) · Intelligence · doi:10.1016/j.intell.2012.12.001 · Cited by 31 · see citing works
Specific Abilities in the Workplace: More Important Than g?
Kell, H. J., & Lang, J. W. B. (2017) · Journal of Intelligence · doi:10.3390/jintelligence5020013 · Cited by 31 · see citing works
Self-citation
Measuring mental capacity: Thomson's Bonds model and Spearman's g-model compared
Bartholomew, D. J., Allerhand, M., & Deary, I. J. (2013) · Intelligence · doi:10.1016/j.intell.2013.03.007 · Cited by 30 · see citing works

Flagged first, then by citations

Still being checked.

The Great Debate: General Ability and Specific Abilities in the Prediction of Important Outcomes
Kell, H. J., & Lang, J. W. B. (2018) · Journal of Intelligence · doi:10.3390/jintelligence6030039 · Cited by 20 · see citing works
Self-citation
Commenting on the “Great Debate”: General Abilities, Specific Abilities, and the Tools of the Trade
Beier, M. E., Kell, H. J., & Lang, J. W. B. (2019) · Journal of Intelligence · doi:10.3390/jintelligence7010005 · Cited by 7 · see citing works
Self-citation
A Tempest in A Ladle: The Debate about the Roles of General and Specific Abilities in Predicting Important Outcomes
Johnson, W. (2018) · Journal of Intelligence · doi:10.3390/jintelligence6020024 · Cited by 13 · see citing works
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 · see citing works
THE CORRELATION OF ABILITIES
Woodworth, R., & MARQUIS, D. G. (2014) · Psychology Press eBooks · doi:10.4324/9781315766775-8 · Cited by 1 · see citing works

Authors: Kell, H. J., & Lang, J. W. B.
Affiliations: Educational Testing Service (US)
Leuphana University of Lüneburg (DE)
ORCID: Harrison J. Kell
Jonas W. B. Lang
Venue: MDPI eBooks
Publisher: MDPI
Published: 2019-07-26
DOI: 10.3390/books978-3-03921-168-5
OpenAlex: W4231203069
Cited by: 0
References: 233
FWCI: 0.00
Type: book
Language: en
Open access: diamond
doi.org
Licence: cc-by-nc-nd
Locations: MDPI eBooks (publishedVersion, cc-by-nc-nd)
Directory of Open access Books (OAPEN Foundation) (submittedVersion, cc-by)
Funders: National Science Foundation (1620457)
Mensa Education and Research Foundation
Educational Testing Service
Vanderbilt University
Peabody College
Topics: Social Sciences › Psychology › Experimental and Cognitive Psychology › Cognitive Abilities and Testing
Social Sciences › Psychology › Experimental and Cognitive Psychology › Education, Achievement, and Giftedness
Physical Sciences › Mathematics › Statistics and Probability › Cognitive and developmental aspects of mathematical skills
Keywords: intelligence theory, general intelligence, specific abilities, cognitive ability, academic performance, career success, employee performance, health prediction

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

The Great Debate

Abstract

Integrity signals

Claims the paper makes

Cites

Cited by

Related

Record

About these checks