Cited by 284Cognitive Abilities and TestingPsychometric Methodologies and TestingIntergenerational and Educational Inequality Studies

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

Jensen, Arthur R.·1985·Behavioral and Brain Sciences

Abstract

Although the black and white populations in the United States differ, on average, by about one standard deviation (equivalent to 15 IQ points) on current IQ tests, they differ by various amounts on different tests. The present study examines the nature of the highly variable black–white difference across diverse tests and indicates the major systematic source of this between-population variation, namely, Spearman's g. Charles Spearman originally suggested in 1927 that the varying magnitude of the mean difference between black and white populations on a variety of mental tests is directly related to the size of the test's loading on g , the general factor common to all complex tests of mental ability. Eleven large-scale studies, each comprising anywhere from 6 to 13 diverse tests, show a significant and substantial correlation between tests' g loadings and the mean black–white difference (expressed in standard score units) on the various tests. Hence, in accord with Spearman's hypothesis, the average black–white difference on diverse mental tests may be interpreted as chiefly a difference in g , rather than as a difference in the more specific sources of test score variance associated with any particular informational content, scholastic knowledge, specific acquired skill, or type of test. The results of recent chronometric studies of relatively simple cognitive tasks suggest that the g factor is related, at least in part, to the speed and efficiency of certain basic information-processing capacities. The consistent relationship of these processing variables to g and to Spearman's hypothesis suggests the hypothesis that the differences between black and white populations in the rate of information processing may account for a part of the average black–white difference on standard IQ tests and their educational and occupational correlates.

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Crossref · 10.1017/s0140525x00020392

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  • The only other study which has examined Spearman's hypothesis in context of intra-SIRE ancestry-related differences is Hu et al.

    “The only other study which has examined Spearman's hypothesis in the context of intra-SIRE ancestry-related differences is Hu et al. [18].”

    From Global Ancestry and Cognitive Ability (2019) · cites this paper as [18]

  • Previous meta-analyses and non-systematic reviews have generally supported Spearman's Hypothesis in US W-B comparisons, with positive vector correlations observed across all cognitive batteries and samples.

    “Previous meta-analyses and non-systematic reviews have generally supported SH in US W-B comparisons, with positive vector correlations observed across all cognitive batteries and samples (Jensen, 1985(Jensen, , 1998;;te Nijenhuis & van den Hoek, 2016).”

    From A Meta-Analysis of Spearman’s Hypothesis in the United States (2026) · cites this paper as Jensen, 1985

  • Before the present study, the total literature of Spearman's hypothesis tested on Black and White adults in the US consisted of only six datasets on adults, five reported in Jensen and one in Nyborg and Jensen; the correlations ranged from r = 0.30 to 0.81.

    “Before the present study, the total literature of Spearman's hypothesis tested on Black and White adults in the US consists of only six datasets on adults, and five of these six studies are reported in Jensen [37] and one of these six is reported in Nyborg and Jensen [38]; the correlations for these studies ranged from r = 0.30 to 0.81.”

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Research works printed but not linked: 67

  1. Oceam, 1965, Gulielmi Ockham opera omnia philosophica et theologica
  2. Brand, 1984, Psychological Survey, 5
  3. Roth, 1964, Die geschwindigkeit der Verarbeitung von Information und ihr Zusammenhang mit Intelligenz, Zeitschrift für experimentelle und angewandte Psychologie, 11, 616
  4. Fraser I. C. (1984) The psychophysiological measurement of adult intelligence. Thesis, Department of Psychology, University of Edinburgh. [CB]
  5. 10.1037/0012-1649.13.3.184 · DOI
  6. 10.1037/0022-0663.75.2.207 · DOI
  7. Frederiksen, 1980, Aptitude, learning, and instruction. Vol. 1: Cognitive process analyses of aptitude
  8. Schechter, 1984, Attention selectively modulates parallel visual processes. Abstract, 10
  9. Jensen, Methodological and statistical advances in the study of individual differences
  10. 1982, Profile of American youth: 1980 nationwide administration of the Armed Services Vocational Aptitude Battery
  11. McGurk, 1951, Comparison of the performance of Negro and white high school seniors on cultural and noncultural psychological test questions
  12. 10.2307/1129977 · DOI
  13. 10.1037/0022-006X.48.2.249 · DOI
  14. Parmellee, 1983, Handbook of child psychology, infancy and developmental psychobiology, 2
  15. Ogbu, 1982, The language of children reared in poverty
  16. 10.1037/0003-066X.39.11.1207 · DOI
  17. Hunter, 1982, Project SOAR: Teaching cognitive skills in a pre-college program, Journal of learning Skills, 2, 24
  18. Spearman, 1927, The abilities of man
  19. Baker, 1974, Race
  20. Sharp D. M. (1984) Inspection time, decision time and visual masking. Thesis, Department of Psychology, University of Aberdeen. [CB]
  21. Garrett, 1935, The age factor in mentalorganization, Archives of Psychology, 176
  22. 1970, Manual for the USES General Aptitude Test Battery
  23. Kaufman, 1983, Kaufman Assessment Battery for Children: Interpretive manual
  24. Bouchard, 1982, 1983 Yearbook of science and the future
  25. Posner, 1982, Perspectives on mental representations
  26. Cole, 1968, Some experimental studies of Kpelle quantitative behavior, Psychonomic Monograph Supplement, 173
  27. Carr, 1985, New directions in child development #27; The development of reading skills
  28. Jensen, 1982, model for intelligence
  29. Harlow, 1959, Psychology: A study of a science, 2
  30. Hendrickson, 1982, model for intelligence
  31. 1950, The Culture Fair Intelligence Test Series
  32. Horn, 1966, Short period fluctuations in intelligence
  33. Welford, 1980, Reaction times
  34. Noble, 1978, Human variation: The biopsychology of age, race, and sex
  35. Scarr, 1981, Race, social class, and individual differences in IQ
  36. Mercer, 1984, Perspiectives on bias in mental testing
  37. Sternberg, 1984, Beyond IQ: A triarchic theory of intelligence
  38. Heber, 1973, Exceptional infant, 3
  39. Karrer, 1984, An analysis of input, central, and motor segments of response time in the mentally retarded
  40. Whimbey, 1984, Mastering reading through reasoning
  41. Jensen, 1979, g: Outmoded theory or unconquered frontier?, Creative Science and Technology, 2, 16
  42. 10.3102/00028312010004263 · DOI
  43. Gorsuch, 1974, Factor analysis
  44. Sisco F. H. (1982) Sex differences in the performance of deaf children on the WISC-R Performance Scale. Doctoral dissertation. University of Florida. University Microfilms no. DA 8226432. [taARJ]
  45. Veroff, 1971, Measuring intelligence and achievement motivation in surveys
  46. Ryan, 1981, Reading research: Advances in theory and practice, 3
  47. Whimbey, 1983, Analytical reading and reading
  48. Scarr, 1982, A handbook of human intelligence
  49. Whimbey, 1982, Problem solving and comprehension: A short course in analytical reasoning
  50. Bardis, 1969, The principle of instrumental parsimony, Revue Internationale de Sociologie, 92
  51. Carr, 1984, Learning and cognition in the mentally retarded
  52. McGurk, 1975, Race differences-twenty years later, Homo, 26, 219
  53. Stankov, 1983, The role of competition in human abilities revealed through auditory tests, Multivariate Behavioral Research
  54. Blau, 1981, Black children/white children
  55. Tierney, 1984, Handbook of reading research
  56. Hennessy J. J. (1974) Structure and patterns of mental abilities in several ethnic groups. Doctoral dissertation, New York University. University Microfilms no. 74–24, 997. [taARJ]
  57. Cooper, 1982, Handbook of human intelligence
  58. Ombrédane, 1956, Résultats d'une application répétée du matrix-couleur á une population de Noirs Congolai [Results of a repeated administration of the coloured matrices to a population of Congolese Blacks], Bulletin du Centre d'Etudes et Recherches Psychotechniques, 5, 129
  59. Butterfield, Intelligence and cognition in special children
  60. Klahr, 1976, Cognitive development
  61. Schafer, 1984, Habituation of evoked cortical potentials correlates with intelligence, Psychophysiology, 21, 597
  62. Fitts, 1967, Human performance
  63. Bock, 1981, The profile of American youth: Data quality analysis of the Armed Services Vocational Aptitude Battery
  64. Vavrus, 1983, Component skill profiles of reading ability: Variations, tradeoffs, and compensations
  65. Whimbey, 1981, Competency in comprehension (and scientific literacy) as reasoning
  66. Humphreys, 1983, Review of Ability testing by A. K. Wigdor and W. R. Garner, American Scientist, 71, 302
  67. Paul S. (1985) Speed of information processing: The semantic verification test and general mental ability. Doctoral dissertation, University of California, Berkeley. [rARJ]

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Authors
Jensen, A. R.
Affiliations
University of California System (US)
Corresponding author
Jensen, Arthur R.
Venue
Behavioral and Brain Sciences
Published
1985-07
Volume
8
Issue
2
Pages
193-219
ISSN
  • 0140-525X (ISSN-L)
  • 1469-1825
OpenAlex
W1994167260
Cited by
284
References
300
Citations by year
2026: 1 · 2025: 3 · 2024: 1 · 2023: 1 · 2022: 1 · 2021: 4 · 2020: 4 · 2019: 6 · 2018: 3 · 2017: 7 · 2016: 7 · 2015: 5 · 2014: 6 · 2013: 3 · 2012: 4
FWCI
20.12
Type
journal article
Language
en
Open access
closed
Locations
Behavioral and Brain Sciences (publishedVersion)
Topics
  • Social Sciences › Psychology › Experimental and Cognitive Psychology › Cognitive Abilities and Testing
  • Social Sciences › Decision Sciences › Management Science and Operations Research › Psychometric Methodologies and Testing
  • Social Sciences › Sociology and Political Science › Intergenerational and Educational Inequality Studies
Keywords
Spearman's hypothesis, general intelligence factor, g-loading, racial differences in intelligence, processing speed, psychometric tests

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