Cited by 111Cognitive Abilities and TestingAging and Gerontology ResearchIntergenerational and Educational Inequality Studies

The DOI matches its Crossref record.

An Historical Framework for Cohort Differences in Intelligence

Open access
Schaie, K. Warner, Willis, Sherry, Pennak, Sara·2005·Research in Human Development

Abstract

This article reviews key issues regarding the controversy on the direction and magnitude of cohort differences in intelligence. Data from the Seattle Longitudinal Study (SLS) illustrate why differences must be studied across multiple cohorts and multiple chronological ages. Differential cohort patterns for multiple dimensions of intelligence are described. A conceptual framework is suggested for the identification of historical influences important for developmental study of cohort differences.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1207/s15427617rhd0201&2_3

Cites

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

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?

  • Cohort differences in rates of cognitive aging among SLS participants typically favored later born cohorts, particularly on reasoning and verbal meaning abilities.

    “Schaie, Willis, and Pennak (2005) reported cohort differences in rates of cognitive aging among SLS participants that typically favored later born cohorts, particularly on reasoning and verbal meaning abilities.”

    From Cohort differences in cognitive aging and terminal decline in the Seattle Longitudinal Study. (2011) · cites this paper as Schaie, Willis, and Pennak (2005)

    In “Cohort Differences in Rate of Age-Related Change” (page unavailable), the paper reports a difference in aging trajectories between older cohorts, with the slope particularly favoring the later-born cohort for verbal meaning. It also reports gains in inductive reasoning for later-born cohorts, but describes those as differences in performance level, not clearly as differences in rates of cognitive aging. Thus the claim’s emphasis on reasoning as an aging-rate finding is not fully supported. (LLM, conf=0.85)

    Experimental — accuracy not yet measured

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

No references could be resolved yet.

Research works printed but not linked: 49

  1. Ackerman M., 1995, History of Education Quarterly, 35, 279, 10.2307/369750 · DOI · Paper page
  2. Alwin D. F., 1991, American Sociological Review, 56, 625, 10.2307/2096084 · DOI · Paper page
  3. Alwin D. F., 2001, Journals of Gerontology: Social Sciences, 56, S151, 10.1093/geronb/56.3.S151 · DOI · Paper page
  4. Alwin D. F., 1984, American Sociological Review, 49, 784, 10.2307/2095530 · DOI · Paper page
  5. Baltes P. B., 1968, Human Development, 11, 145, 10.1159/000270604 · DOI
  6. Baltes, P. B. (1979). Life-span developmental psychology: Some converging observations on history and theory. In P. B. Baltes & O. G. Brim (Eds.), Life-span development and behavior (Vol. 2, pp. 255-279). New York: Academic.
  7. Baltes, P. B., Cornelius, S. W. & Nesselroade, J. R (1979). In J. R. Nesselroade & P. B. Baltes (Eds.), Longitudinal research in the study of behavior and development (pp. 61-88). New York: Academic.
  8. 10.1146/annurev.psych.50.1.471 · DOI · Paper page
  9. Blau, P. M. & Duncan, O. D. (1967). The American occupational structure. New York: Wiley.
  10. 10.1037//0012-1649.22.6.723 · DOI
  11. Bronfenbrenner, U. & Crouter, A. (1983). The evolution of environmental models in developmental research. In P. H. Mussen (Series Ed.) & W. Kessen (Vol. Ed.), Handbook of child psychology: Vol. 1. History, theory, and methods (4th ed., pp. 357-414). New York: Wiley.
  12. 10.1037//0033-295X.108.2.346 · DOI · Paper page
  13. Elder, G. H., Jr. (1974). Children of the great depression. Chicago, IL: University of Chicago Press.
  14. Elder G. H., Jr., 1991, Military Psychology, 3, 215, 10.1207/s15327876mp0304_3 · DOI · Paper page
  15. 10.1007/BF00993493 · DOI · Paper page
  16. 10.1037//0033-2909.95.1.29 · DOI · Paper page
  17. 10.1037//0033-2909.101.2.171 · DOI · Paper page
  18. 10.1037//0003-066X.54.1.5 · DOI
  19. Glenn N. D., 1994, Sociology of Education, 67, 216, 10.2307/2112792 · DOI
  20. Gratton, B. (1993). The creation of retirement: Families, individuals and the social security movement. In K. W. Schaie & W. A. Achenbaum (Eds.), Societal impact on aging: Historical perspectives (pp. 45-73). New York: Springer.
  21. Hauser R. M., 1976, Sociology of Education, 49, 99, 10.2307/2112516 · DOI · Paper page
  22. Helson, R. & Moane, G. (1987). Personality change in women from college to midlife Journal of Personality and Social Psychology, 53, 176-186. · DOI
  23. Hogan D., 1978, History of Education Quarterly, 18, 227, 10.2307/368088 · DOI · Paper page
  24. Illinois Bureau of Labor Statistics. (1884). Annual report, 1884 (pp. 135-391). Springfield, IL: Author.
  25. Kahn R. L., 1980, Life-Span Development, 3, 253
  26. Kuhlen R. G., 1940, School and Society, 52, 14
  27. 10.1111/j.0956-7976.2004.01503003.x · DOI
  28. 10.1086/226978 · DOI · Paper page
  29. Mortimer J. T., 1982, Sociological Quarterly, 23, 3, 10.1111/j.1533-8525.1982.tb02216.x · DOI · Paper page
  30. Nam, C. B. (1964). Impact of the "GI bills on the educational level of the male population. Social Forces, 43, 26-32. · DOI · Paper page
  31. Riley, M. W., Johnson, M. J. & Foner, A. (1972). Aging and society: Vol. 3. A sociology of age stratification. New York: Russell Sage Foundation.
  32. Ryder N. B., 1965, American Sociological Review, 30, 843, 10.2307/2090964 · DOI · Paper page
  33. Sampson R. J., 1996, American Sociological Review, 61, 347, 10.2307/2096353 · DOI · Paper page
  34. Schaie K. W., 1965, Psychological Bulletin, 64, 91, 10.1037/h0022371 · DOI · Paper page
  35. 10.1016/0273-2297(86)90014-6 · DOI
  36. Schaie, K. W. (1990). Late life potential and cohort differences in mental abilities. In M. Perlmutter (Ed.), Late life potential (pp. 43-62). Washington, DC: Gerontological Society of America.
  37. Schaie, K. W. (1995). Quality of life and successful aging. In H. Klose (Ed.), Aging and modernization (pp. 69-85). Bonn, Germany: Friedrich Ebert Foundation.
  38. Schaie, K. W. (1996a). Generational differences. In J. E. Birren (Ed.), Encyclopedia of gerontology (pp. 567-576). San Diego, CA: Academic.
  39. Schaie, K. W. (1996b). Intellectual development in adulthood: The Seattle Longitudinal Study. New York: Cambridge University Press.
  40. Schaie, K. W. (2000). How does maintenance of intellectual competence contribute to quality of life and successful aging? In K. Manger (Ed.), Jenaer Universitatsreden [Jena University lectures] (Vol. 9, pp. 21-40). Jena, Germany: Hausdruckerei der FSU Jena [Friedrich-Schiller-University Press].
  41. Schaie, K. W. (2005). Developmental influences on adult intelligence: The Seattle Longitudinal Study. New York: Oxford University Press. · DOI · Paper page
  42. Schaie, K. W. & Achenbaum, W. A. (Eds.). (1993). Societal impact on aging: Historical perspectives. New York: Springer.
  43. Schaie K. W., 1975, Human Development, 18, 384, 10.1159/000271498 · DOI
  44. 10.1037/10044-008 · DOI
  45. Schaie, K. W., Plomin, R., Willis, S. L., Gruber-Baldini, A. & Dutta, R. (1992). Natural cohorts: Family similarity in adult cognition. In T. Sonderegger (Ed.), Psychology and aging: Nebraska Symposium on Motivation, 1991 (Vol. 38, pp. 205-243). Lincoln, NE: University of Nebraska Press.
  46. 10.1111/1471-6402.t01-2-00001 · DOI · Paper page
  47. Vinocour S. M., 1947, Newsweek, 80, 140
  48. Willis, S. L. (1989). Cohort differences in cognitive aging: A sample case. In K. W. Schaie & C. Schooler (Eds.), Social structure and aging: Psychological processes (pp. 94-112). Hillsdale, NJ: Lawrence Erlbaum Associates, Inc.
  49. Wilson J. A., 1999, American Sociological Review, 64, 253, 10.2307/2657530 · DOI

Cited by

Sorted by citations

Metadata

Authors
Schaie, K. W., Willis, S., & Pennak, S.
Affiliations
Pennsylvania State University (US)
Venue
Research in Human Development
Published
2005-03-01
Volume
2
Issue
1
Pages
43-67
ISSN
1542-7609 (ISSN-L)
OpenAlex
W2062957383
Cited by
111
References
0
Citations by year
2026: 3 · 2025: 2 · 2024: 1 · 2023: 3 · 2022: 5 · 2021: 8 · 2020: 6 · 2019: 6 · 2018: 5 · 2017: 7 · 2016: 14 · 2015: 8 · 2014: 3 · 2013: 6 · 2012: 7
FWCI
4.47
Type
journal article
Language
en
Open access
Locations
  • Research in Human Development (publishedVersion)
  • PubMed (publishedVersion)
  • PubMed Central (acceptedVersion)
Funders
National Institute on Aging (R01AG008055)
Topics
  • Social Sciences › Psychology › Experimental and Cognitive Psychology › Cognitive Abilities and Testing
  • Social Sciences › Psychology › Developmental and Educational Psychology › Aging and Gerontology Research
  • Social Sciences › Sociology and Political Science › Intergenerational and Educational Inequality Studies
Keywords
cohort differences, intelligence, historical influence, Seattle Longitudinal Study, intelligence development, conceptual framework

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