Cited by 151Aging and Gerontology ResearchCognitive Abilities and TestingDementia and Cognitive Impairment Research

Global and domain-specific changes in cognition throughout adulthood.

Open access
Tucker-Drob, Elliot M.·2011·Developmental Psychology

Abstract

Normative adult age-related decrements are well documented for many diverse forms of effortful cognitive processing. However, it is currently unclear whether each of these decrements reflects a distinct and independent developmental phenomenon, or, in part, a more global phenomenon. A number of studies have recently been published that show moderate to large magnitudes of positive relations among individual differences in rates of changes in different cognitive variables during adulthood. This suggests that a small number of common dimensions or even a single common dimension may underlie substantial proportions of individual differences in aging-related cognitive declines. This possibility was directly examined using data from 1,281 adults 18-95 years of age who were followed longitudinally over up to 7 years on 12 different measures of effortful processing. Multivariate growth curve models were applied to examine the dimensionality of individual differences in longitudinal changes. Results supported a hierarchical structure of aging-related changes, with an average of 39% of individual differences in change in a given variable attributable to global (domain-general) developmental processes, 33% attributable to domain-specific developmental processes (abstract reasoning, spatial visualization, episodic memory, and processing speed), and 28% attributable to test-specific developmental processes. Although it is often assumed that systematic and pervasive sources of cognitive decline only emerge in later adulthood, domain-general influences on change were apparent for younger (18-49 years), middle aged (50-69 years), and older (70-95 years) adults.

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 · 10.1037/a0021361

Cites

2 of 2 references verified0 citation errors · 0 not checkable

Statistics

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?

  • Factor analysis studies have left numerous questions unresolved, in part because they do not agree on the number or nature of dissociable factors relevant to aging.

    “While influential and informative, factor analysis studies have left numerous questions unresolved, in part because these studies do not agree on the number or nature of dissociable factors relevant to aging (Ghisletta, Rabbit, Lunn & Lindenberger, 2012; Goh, An, & Resnick, 2012; Tucker-Drob, 2011).”

    From When does cognitive functioning peak? The asynchronous rise and fall of different cognitive abilities across the life span (2015) · cites this paper as Tucker-Drob, 2011

    In “Past Cross-Sectional and Longitudinal Approaches” (page unavailable), the paper says earlier studies could not establish whether domain-specific dimensions of change exist alongside a general dimension. This supports the claim that questions remained unresolved, but the paper does not say those studies disagreed on the number or nature of factors; it reports that four studies all found substantial variation accounted for by a single common factor. (LLM, conf=0.86)

    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.

Cites

Flagged first, then by citations

Research works printed but not linked: 38

  1. Baltes PB Lindenberger U 1997 Emergence of a powerful connection between sensory and cognitive functions across the adult life span: A new window to the study of cognitive aging? Psychology and Aging 12 12 21 9100264
  2. Bell RQ 1953 Convergence: An accelerated longitudinal approach Child Development 24 145 152 13141335
  3. Bryk AS Raudenbush SW 1987 Application of hierarchical linear models to assessing change Psychological Bulletin 101 147 158
  4. Carroll JB 1993 Human cognitive abilities: A survey of factor-analytic Studies Cambridge University Press
  5. Deater-Deckard K Mayr U 2005 Cognitive change in aging: identifying gene-environment correlation and nonshared environmental mechanisms Journals of Gerontology: Social Sciences 60 24 31 15863707
  6. Deary IJ 2001 Intelligence: A Very Short Introduction New York Oxford University Press
  7. Duncan TE Duncan SC Strycker LA 2006 An Introduction to Latent Variable Growth Curve Modeling: Concepts, Issues, & Applications (2nd Edition) Mahwah, NJ Lawrence Erlbaum
  8. Ferrer E Salthouse TA McArdle JJ Stewart WF Schwartz BS 2005 Multivariate modeling of age and retest in longitudinal studies of cognitive abilities Psychology and Aging 20 412 422 16248701 PMC3838960
  9. Folstein MF Folstein SE McHugh PR 1975 Mini-Mental State: A practical method for grading the cognitive state of patients for the clinician Journal of Psychiatric Research 12 189 198 1202204
  10. Gottfredson LS 2003 The challenge and promise of cognitive career assessment Journal of Career Assessment 11 115 135
  11. Hausknecht JP Halpert JA Di Paolo NT Gerrard MOM 2007 Retesting in selection: A meta-analysis of coaching and practice effects for tests of cognitive ability Journal of Applied Psychology 92 373 385 17371085
  12. Hertzog C Dixon RA Hultsch DF MacDonald SWS 2003 Latent change models of adult cognition: Are changes in processing speed and working memory associated with changes in episodic memory? Psychology and Aging 18 755 769 14692862
  13. Hertzog C Lindenberger U Ghisletta P von Oertzen T 2006 On the power of multivariate latent growth curve models to detect correlated change Psychological Methods 11 244 252 16953703
  14. Hofer SM Sliwinski MJ 2001 Understanding Ageing: An evaluation of research designs for assessing the interdependence of ageing-related changes Gerontology 47 341 352 11721149
  15. Lindenberger U Baltes PB 1997 Intellectual functioning in old and very old age: Cross-sectional results from the Berlin Aging Study Psychology and Aging 12 410 432 9308090
  16. Lindenberger U Ghisletta P 2009 Cognitive and sensory declines in old age: Gauging the evidence for a common cause Psychology and Aging 24 1 16 19290733
  17. McArdle JJ 1988 Dynamic but structural equation modeling of repeated measures data Nesselroade JR Cattell RB The Handbook of Multivariate Experimental Psychology 2 New York Plenum Press 561 614
  18. McArdle JJ Epstein DB 1987 Latent growth curves within developmental structural equation models Child Development 58 110 133 3816341
  19. McArdle JJ Ferrer-Caja E Hamagami F Woodcock RW 2002 Comparative longitudinal multilevel structural analyses of the growth and decline of multiple intellectual abilities over the life-span Developmental Psychology 38 115 142 11806695
  20. Muthén BO Muthén L 1998-2010 MPlus user's guide, Sixth Edition Los Angeles, CA Muthén and Muthén
  21. Reynolds CA Gatz M Pederson NL 2002 Individual variation for cognitive decline: Quantitative patterns for describing patterns of change Psychology and Aging 17 271 287 12061412
  22. Salthouse TA 1993 Speed and knowledge as determinants of adult age differences in verbal tasks Journal of Gerontology: Psychological Sciences 48 29 36 8418147
  23. Salthouse TA 1994 How many causes are there of aging-related decrements in cognitive functioning? Developmental Review 14 413 437
  24. Salthouse TA 2004 Localizing age-related individual differences in a hierarchical structure Intelligence 32 541 561 PMC3866028 24357886
  25. Salthouse TA 2009 When does age-related cognitive decline begin? Neurobiology of Aging 30 507 514 19231028 PMC2683339
  26. Salthouse TA Ferrer-Caja E 2003 What needs to be explained to account for age-related effects on multiple cognitive variables? Psychology and Aging 18 91 110 12641315
  27. Salthouse TA Hancock HE Meinz EJ Hambrick DZ 1996 Interrelations of age, visual acuity, and cognitive functioning Journal of Gerontology: Psychological Sciences 51 317 330 8931619
  28. Salthouse TA Tucker-Drob EM 2008 Implications of short-term retest effects for the interpretation of longitudinal change Neuropsychology 22 800 811 18999354 PMC2593909
  29. Sliwinski M Hofer S Hall CB 2003 Correlated cognitive change in older adults with and without preclinical dementia Psychology and Aging 18 672 683 14692856
  30. Tucker-Drob EM 2009 Differentiation of cognitive abilities across the lifespan Developmental Psychology 45 1097 1118 19586182 PMC2855504
  31. Tucker-Drob EM Johnson KE Jones RN 2009 The cognitive reserve hypothesis: A longitudinal examination of age-associated declines in reasoning and processing speed Developmental Psychology 45 431 446 19271829 PMC3230274
  32. Tucker-Drob EM Salthouse TA 2008 Adult age trends in the relations among cognitive abilities Psychology and Aging 23 453 460 18573019 PMC2762546
  33. Tucker-Drob EM Salthouse TA 2009 Confirmatory factor analysis and multidimensional scaling for construct validation of cognitive abilities International Journal of Behavioral Development 33 277 285 20963182 PMC2956169
  34. Wechsler D 1997a Wechsler Adult Intelligence Scale – Third Edition San Antonio, TX The Psychological Corporation
  35. Wechsler D 1997b Wechsler Memory Scale – Third Edition San Antonio, TX The Psychological Corporation
  36. Wilson RS Beckett LA Barnes LL Schneider JA Bach J Evans DA Bennett DA 2002 Individual differences in rates of change in cognitive abilities of older persons Psychology and Aging 17 179 193 12061405
  37. Zelinski EM Stewart ST 1998 Individual differences in 16-year memory changes Psychology and Aging 13 622 630 9883462
  38. Zimprich D Martin M 2002 Can longitudinal changes in processing speed explain longitudinal age changes in fluid intelligence? Psychology and Aging 17 690 695 12507364

Cited by

Sorted by citations

Authors
Tucker-Drob, E. M.
Venue
Developmental Psychology
Published
2011-03
Volume
47
Issue
2
Pages
331-343
ISSN
  • 0012-1649 (ISSN-L)
  • 1939-0599
OpenAlex
W2100557027
Cited by
151
References
2
Citations by year
2026: 11 · 2025: 9 · 2024: 8 · 2023: 13 · 2022: 8 · 2021: 7 · 2020: 11 · 2019: 13 · 2018: 10 · 2017: 7 · 2016: 12 · 2015: 9 · 2014: 7 · 2013: 12 · 2012: 4
FWCI
11.99
Type
journal article
Language
en
Open access
Locations
  • Developmental Psychology (publishedVersion)
  • PubMed (publishedVersion)
  • PubMed Central (acceptedVersion)
Funders
  • Eunice Kennedy Shriver National Institute of Child Health and Human Development (R24 HD042849)
  • National Institute on Aging (R37AG02427042)
Topics
  • Social Sciences › Psychology › Neuropsychology and Physiological Psychology › Aging and Gerontology Research
  • Social Sciences › Psychology › Experimental and Cognitive Psychology › Cognitive Abilities and Testing
  • Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
Keywords
cognitive aging, age-related cognitive decline, abstract thinking, spatial visualization, episodic memory, processing speed
MeSH terms
Adolescent, Adult, Aged, Aged, 80 and over, Aging, Cognition, Cognition Disorders, Cross-Sectional Studies, Female, Humans, Individuality, Longitudinal Studies, Male, Memory, Middle Aged, Neuropsychological Tests, Problem Solving, Psychomotor Performance, Models, Statistical, Young Adult

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