Ackerman, P. L. (2000). Domain-specific knowledge as the “dark matter” of adult intelligence: Gf/Gc personality and interest correlates. Journal of Gerontology: Psychological Sciences, 55, P69–P84.CrossRefGoogle ScholarPubMed
Ackerman, P. L., & Heggestad, E. D. (1997). Intelligence, personality, and interests: Evidence for overlapping traits. Psychological Bulletin, 121, 219–245.CrossRefGoogle ScholarPubMed
Alwin, D. F. (2009). History, cohorts, and patterns of cognitive aging. In Bosworth, H. B. & Hertzog, C. (Eds.), Aging and cognition: Research methodologies and empirical advances (pp. 9–38). Washington: American Psychological Association.CrossRefGoogle Scholar
Anstey, K. J., Hofer, S. M., & Luszcz, M. A. (2003). Cross-sectional and longitudinal patterns of dedifferentiation in late-life cognitive and sensory function: The effects of age, ability, attrition, and occasion of measurement. Journal of Experimental Psychology: General, 132, 470–487.CrossRefGoogle Scholar
Bäckman, L., & Small, B. J. (2007). Cognitive deficits in preclinical Alzheimer’s disease and vascular dementia: Patterns of findings from the Kungsholmen project. Physiology and Behavior, 92, 80–86.CrossRefGoogle ScholarPubMed
Ball, K., Berch, D. B., Helmer, K. F., Jobe, J. B., Leveck, M. D., Marsiske, M., et al. (2002). Effects of cognitive training interventions with older adults: A randomized controlled trial. Journal of the American Medical Association, 288, 2271–2281.CrossRefGoogle ScholarPubMed
Baltes, P. B. (1997). On the incomplete architecture of human ontogeny: Selection, optimization, and compensation as a foundation for developmental theory. American Psychologist, 52, 366–380.CrossRefGoogle ScholarPubMed
Baltes, P. B., & Labouvie, G. V. (1973). Adult development of intellectual performance: Description, explanation, and modification. In Eisdorfer, C. & Lawton, M. P. (Eds.), The psychology of adult development and aging (pp. 157–219). Washington: American Psychological Association.CrossRefGoogle Scholar
Baltes, P. B., & Nesselroade, J. R. (1970). Multivariate longitudinal and cross-sectional sequences for analyzing ontogenetic and generational change: A methodological note. Developmental Psychology, 2, 163–168.CrossRefGoogle Scholar
Baltes, P. B., & Nesselroade, J. R. (1979). History and rationale of longitudinal research. In Nesselroade, J. R. & Baltes, P. B. (Eds.), Longitudinal research in the study of behavior and development. New York: Academic Press.Google Scholar
Baltes, P. B., Staudinger, U. M., & Lindenberger, U. (1999). Lifespan psychology: Theory and application to intellectual functioning. Annual Review of Psychology, 50, 471–507.CrossRefGoogle ScholarPubMed
Basak, C., Boot, W. R., Voss, M. W., & Kramer, A. F. (2008). Can training in a real-time strategy videogame attenuate cognitive decline in older adults? Psychology and Aging, 23, 765–777.CrossRefGoogle Scholar
Beier, M., & Ackerman, P. L. (2005). Age, ability, and the role of prior knowledge on the acquisition of new domain knowledge: Promising results in a real-world learning environment. Psychology and Aging, 20, 341–355.CrossRefGoogle Scholar
Berg, S. (1996). Aging, behavior, and terminal decline. In Birren, J. E. & Schaie, K. W. (Eds.), Handbook of the psychology of aging (4th ed., pp. 323–337). San Diego, CA: Academic Press.Google Scholar
Birren, J. E. (1964). The psychology of aging. Englewood Cliffs, NJ: Prentice-Hall.Google Scholar
Bosworth, H. B., Schaie, K. W., & Willis, S. L. (1999). Cognitive and sociodemographic risk factors for mortality in the Seattle Longitudinal Study. Journal of Gerontology: Psychological Sciences, 54, P273–P282.CrossRefGoogle ScholarPubMed
Botwinick, J. (1977). Intellectual abilities. In Birren, J. E. & Schaie, K. W. (Eds.), Handbook of the psychology of aging (pp. 580–605). New York: Van Nostrand Reinhold.Google Scholar
Brickley, P. G., Keith, T. Z., & Wolfle, L. M. (1995). The three-stratum theory of cognitive abilities: Test of the structure of intellect across the adult life span. Intelligence, 20, 309–328.CrossRefGoogle Scholar
Buchman, A. S., Tanne, D., Boyle, P. A., Shah, R. C., Leurgans, S. E., & Bennett, D. A. (2009). Kidney function is associated with the rate of cognitive decline in the elderly. Neurology, 73, 920–927.CrossRefGoogle ScholarPubMed
Carlson, M. C., Saczynski, J. S., Rebok, G. W., McGill, S., Tielsch, J., Glass, T. A., et al. (2008). Exploring the effects of an everyday activity program on executive function and memory in older adults: Experience Corps. The Gerontologist, 48, 793–801.CrossRefGoogle ScholarPubMed
Carroll, J. B. (1993). Human cognitive abilities: A survey of factor analytic studies. Cambridge, UK: Cambridge University Press.CrossRefGoogle Scholar
Cattell, R. B. (1971). Abilities: Their structure, growth, and action. Boston: Houghton Mifflin.Google Scholar
Charness, N. (1981). Aging and skilled problem solving. Journal of Experimental Psychology: General, 110, 21–38.CrossRefGoogle ScholarPubMed
Cianciolo, A. T., Matthew, C., Sternberg, R. J., & Wagner, R. K. (2006). Tacit knowledge, practical intelligence, and expertise. In Ericsson, K. A., Charness, N., Feltovich, P. J., & Hoffman, R. R. (Eds.), Cambridge handbook of expertise and expert performance (pp. 613–632). New York: Cambridge University Press.CrossRefGoogle Scholar
Colcombe, S., & Kramer, A. F. (2003). Fitness effects on the cognitive function of older adults: A meta-analytic study. Psychological Science, 14, 125–130.CrossRefGoogle ScholarPubMed
Colonia-Willner, R. (1998). Practical intelligence at work: Relationships between aging and cognitive efficiency among managers in a bank environment. Psychology and Aging, 13, 45–57.CrossRefGoogle Scholar
Czaja, S., Charness, N., Fisk, A. D., Hertzog, C., Nair, S., Rogers, W. A., et al. (2006). Factors predicting the use of technology: Findings from the Center for Research and Education on Aging and Technology Enhancement (CREATE). Psychology and Aging, 21, 333–352.CrossRefGoogle Scholar
Deary, I. J., Whiteman, M. C., Starr, J. M., Whalley, L. J., & Fox, H. C. (2004). The impact of childhood intelligence on later life: Following up the Scottish Mental Surveys of 1932 and 1947. Journal of Personality and Social Psychology, 86, 130–147.CrossRefGoogle ScholarPubMed
deFrias, C. M., Lövdén, M., Lindenberger, U., & Nilsson, L-G. (2007). Revisiting the de-differentiation hypothesis with longitudinal multi-cohort data. Intelligence, 35, 381–392.CrossRefGoogle Scholar
Eggermont, L. H. P., Milberg, W. P., Lipsitz, L. A., Scherder, E. J. A., & Leveille, S. G. (2009). Physical activity and executive function in aging: The MOBILIZE Boston study. Journal of the American Geriatric Society, 57, 1750–1756.CrossRefGoogle ScholarPubMed
Ferrer, E., Salthouse, T. A., McArdle, J. J., Stewart, W. F., & Schwartz, B. S. (2005). Multivariate modeling of age and retest in longitudinal studies of cognitive abilities. Psychology and Aging, 20, 412–422.CrossRefGoogle ScholarPubMed
Ferrer, E., Salthouse, T. A., Stewart, W. F., & Schwartz, B. S. (2004). Modeling age and retest processes in longitudinal studies of cognitive abilities. Psychology and Aging, 19, 243–249.CrossRefGoogle ScholarPubMed
Flynn, J. R. (2007). What is intelligence? Beyond the Flynn effect. Cambridge, UK: Cambridge University Press.CrossRefGoogle Scholar
Fox, M. C., Berry, J. M., & Freeman, S. P. (2014). Are vocabulary tests measurement invariant between age groups? An item response analysis of three popular tests. Psychology and Aging, 29, 925–938.CrossRefGoogle ScholarPubMed
Fox, M. C., & Mitchum, A. L. (2013). A knowledge-based theory of rising scores on “culture free“ tests. Journal of Experimental Psychology: General, 142, 979–1000.CrossRefGoogle ScholarPubMed
Ghisletta, P., McArdle, J. J., & Lindenberger, U. (2006). Longitudinal cognition-survival relations in old and very old age: 13-year data from the Berlin Aging Study. European Psychologist, 11, 204–223.CrossRefGoogle Scholar
Hall, C. B., Lipton, R. B., Sliwinski, M., & Stewart, W. F. (2000). A change point model for estimating the onset of cognitive decline in preclinical Alzheimer’s disease. Statistics in Medicine, 19, 1555–1566.3.0.CO;2-3>CrossRefGoogle ScholarPubMed
Hambrick, D. Z., Meinz, E. J., & Salthouse, T. A. (1999). Predictors of crossword puzzle proficiency and moderators of age-cognition relations. Journal of Experimental Psychology: General, 128, 131–164.CrossRefGoogle ScholarPubMed
Harris, S. E., Fox, H., Wright, A. F., Hayward, C., Starr, J. M., Whalley, L. J., Deary, I. J. (2006). The brain-derived neurotrophic factor Val66Met polymorphism is associated with age-related change in reasoning skills. Molecular Psychiatry, 11, 505–513.CrossRefGoogle ScholarPubMed
Hershey, D. A., Jacobs-Lawson, J. M., & Walsh, D. A. (2003). Influences of age and training on script development. Aging, Neuropsychology, and Cognition, 10, 1–19.CrossRefGoogle Scholar
Hertzog, C. (1989). The influence of cognitive slowing on age differences in intelligence. Developmental Psychology, 25, 636–651.CrossRefGoogle Scholar
Hertzog, C. (2008). Theoretical approaches to the study of cognitive aging: An individual-differences perspective. In Hofer, S. M. & Alwin, D. F. (Eds.), Handbook of cognitive aging: Interdisciplinary perspectives (pp. 34–49). Thousand Oaks, CA: Sage.CrossRefGoogle Scholar
Hertzog, C. (2009). Use it or lose it: An old hypothesis, new evidence, and an ongoing controversy. In Bosworth, H. & Hertzog, C. (Eds.), Cognition and aging: Research methodologies and empirical advances (pp. 161–179). Washington: American Psychological Association.CrossRefGoogle Scholar
Hertzog, C., & Bleckley, M. K. (2001). Age differences in the structure of intelligence: Influences of information processing speed. Intelligence, 29, 191–217.CrossRefGoogle Scholar
Hertzog, C., Dixon, R. A., Hultsch, D. F., & MacDonald, S. W. S. (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.CrossRefGoogle ScholarPubMed
Hertzog, C., Kramer, A. F., Wilson, R. S., & Lindenberger, U. (2008). Enrichment effects on adult cognitive development: Can the functional capacity of older adults be preserved and enhanced? Psychological Science in the Public Interest, 9, 1–65.CrossRefGoogle ScholarPubMed
Hertzog, C., & Schaie, K. W. (1986). Stability and change in adult intelligence: 1. Analysis of longitudinal covariance structures. Psychology and Aging, 1, 159–171.CrossRefGoogle ScholarPubMed
Hofer, S. M., Flaherty, B. P., & Hoffman, L. (2006). Cross-sectional analysis of time-dependent data: Mean-induced association in age-heterogeneous samples and an alternative method based on sequential narrow age-cohort samples. Multivariate Behavioral Research, 41, 165–187.CrossRefGoogle ScholarPubMed
Horn, J. L. (1985). Remodeling old models of intelligence: Gf–Gc theory. In Wolman, B. B. (Ed.), Handbook of intelligence (pp. 267–300). New York: Wiley.Google Scholar
Horn, J. L., & Cattell, R. B. (1967). Age differences in fluid and crystallized intelligence. Acta Psychologica, 26, 107–129.CrossRefGoogle ScholarPubMed
Horn, J. L., Donaldson, G., & Engstrom, R. (1981). Apprehension, memory, and fluid intelligence decline in adulthood. Research on Aging, 3, 33–84.CrossRefGoogle Scholar
Horn, J. L., & Hofer, S. M. (1992). Major abilities and development in the adult period. In Sternberg, R. J. & Berg, C. A. (Eds.), Intellectual development (pp. 44–99). New York: Cambridge University Press.Google Scholar
Hultsch, D. F., Hertzog, C., Dixon, R. A., & Small, B. J. (1998). Memory change in the aged. New York: Cambridge University Press.Google Scholar
Hultsch, D. F., Small, B. J., Hertzog, C., & Dixon, R. A. (1999). Use it or lose it: Engaged lifestyle as a buffer of cognitive decline in aging. Psychology and Aging, 14, 245–263.CrossRefGoogle Scholar
Kane, M. J., & Engle, R. W. (2002). The role of prefrontal cortex in working-memory capacity, executive attention, and general fluid intelligence: An individual differences perspective. Psychonomic Bulletin and Review, 9, 637–671.CrossRefGoogle Scholar
Kramer, A. F., & Colcombe, S. (2018). Fitness effects on the cognitive function of older adults: A meta-analytic study – revisited. Perspectives on Psychological Science, 13, 213–217.CrossRefGoogle ScholarPubMed
Kyllonen, P. C., & Chrystal, R. E. (1990). Reasoning ability is (little more than) working-memory capacity? Intelligence, 14, 389–433.CrossRefGoogle Scholar
Lane, C. J., & Zelinski, E. M. (2003). Longitudinal hierarchical linear models of the Memory Functioning Questionnaire. Psychology and Aging, 18, 38–53.CrossRefGoogle ScholarPubMed
Laukka, E. J., MacDonald, S. M. S., & and Bäckman, L. (2008). Terminal-decline effects for select cognitive tasks after controlling for preclinical dementia. American Journal of Geriatric Psychiatry, 16, 355–365.CrossRefGoogle ScholarPubMed
Lindenberger, U., Nagel, I. E., Chicherio, C., Li, S-C., Heekeren, H. R., & Bäckman, L. (2008). Age-related decline in brain resources modulates genetic effects on cognitive functioning. Frontiers in Neuroscience, 2, 234–244.CrossRefGoogle ScholarPubMed
Lindenberger, U., von Oertzen, T., Ghisletta, P., & Hertzog, C. (2011). Cross-sectional age variance extraction: What’s change got to do with it? Psychology and Aging, 26, 34–47.CrossRefGoogle Scholar
Lövdén, M., Rönnlund, M., Wahlin, A., Bäckman, L., Nyberg, L., & Goran-Nilsson, L. (2004). The extent of stability and change in episodic and semantic memory in old age: Demographic predictors of stability and change. Journal of Gerontology: Psychological Sciences, 59B, P130–P134.Google Scholar
MacKinnon, A., Christensen, H., Hofer, S. M., Korten, A. E., & Jorm, A. F. (2003). Use it and still lose it? The association between activity and cognitive performance established using latent growth techniques in a community sample. Aging Neuropsychology and Cognition, 10, 215–222.CrossRefGoogle Scholar
Masunaga, H., & Horn, J. L. (2001). Expertise and age-related changes in components of intelligence. Psychology and Aging, 16, 293–311.CrossRefGoogle ScholarPubMed
McArdle, J. J., & Bell, R. Q. (2001). An introduction to latent growth models for developmental data analysis. In Little, T. D. & Schabel, K. U. (Eds.), Modeling longitudinal and multi-level data: Practical issues, applied approaches, and specific examples (pp. 69–81). Mahwah, NJ: Lawrence Erlbaum Associates.Google Scholar
McArdle, J. J., Ferrer-Caja, E., Hamagami, F., & Woodcock, R. W. (2002). Comparative longitudinal structural analyses of the growth and decline of multiple intellectual abilities over the life span. Developmental Psychology, 38, 115–142.CrossRefGoogle ScholarPubMed
Meredith, W., & Horn, J. L. (2001). The role of factorial invariance in modeling growth and change. In Collins, L. M. & Sayer, A. G. (Eds.), New methods for the analysis of change (pp. 203–240). Washington: American Psychological Association.CrossRefGoogle Scholar
Ng, T. W. H., & Feldman, D. C. (2008). The relationship of age to ten dimensions of job performance. Journal of Applied Psychology, 93, 392–423.CrossRefGoogle ScholarPubMed
Nilsson, L-G., Sternäng, O., Rönnlund, M., & Nyberg, L. (2009). Challenging the notion of an early onset of cognitive decline. Neurobiology of Aging, 30, 521–524.CrossRefGoogle ScholarPubMed
Park, D. C., Hertzog, C., Leventhal, H., Morrell, R. W., Leventhal, E., Birchmore, D., et al. (1999). Medication adherence in rheumatoid arthritis patients: Older is wiser. Journal of the American Geriatrics Society, 47, 172–183.CrossRefGoogle ScholarPubMed
Park, D. C., Smith, A. D., Lautenschlager, G., Earles, J. L., Frieske, D., Zwahr, M., &Gaines, C. L. (1996). Mediators of long-term memory performance across the life span. Psychology and Aging, 11, 621–637.CrossRefGoogle ScholarPubMed
Phillips, L. H., Henry, J. D., & Martin, M. (2008). Adult aging and prospective memory: The importance of ecological validity. In Kliegel, M., McDaniel, M. A., & Einstein, G. O. (Eds.), Prospective memory: Cognitive, neuroscience, developmental, and applied perspectives (pp. 161–185). New York: Taylor & Francis.Google Scholar
Pietschnig, J., & Voracek, M. (2015). One century of global IQ gains: A formal meta-analysis of the Flynn effect (1909–2013). Perspectives on Psychological Science, 10, 282–315.CrossRefGoogle Scholar
Rabbitt, P. (1993). Does it all go together when it goes? The nineteenth Bartlett memorial lecture. Quarterly Journal of Experimental Psychology, 46A, 385–434.CrossRefGoogle Scholar
Rabbitt, P., Diggle, P., Holland, F., & McInnes, L. (2004). Practice and drop-out effects during a 17-year longitudinal study of cognitive aging. Journal of Gerontology: Psychological Sciences and Social Sciences, 59B, P84–P97.CrossRefGoogle Scholar
Ram, N., Gerstorf, D., Fauth, E., Zarit, S., & Malmberg, B. (2010). Aging, disablement, and dying: Using time-as-process and time-as-resources metrics to chart late-life change. Research on Human Development, 7, 27–44.CrossRefGoogle ScholarPubMed
Raven, J. (2000). The Raven’s Progressive Matrices: Change and stability over culture and time. Cognitive Psychology, 41, 1–48.CrossRefGoogle Scholar
Raz, N., Lindenberger, U., Ghisletta, P., Rodrigue, K. M., Kennedy, K. M., & Acker, J. M. (2008). Neuroanatomical correlates of fluid intelligence in healthy adults and persons with vascular risk factors. Cerebral Cortex, 18, 718–726.CrossRefGoogle ScholarPubMed
Reynolds, C. A. (2008). Genetic and environmental influences on cognitive change. In Hofer, S. M. & Alwin, D. F. (Eds.), Handbook of cognitive aging: Interdisciplinary perspectives (pp. 557–574). Thousand Oaks, CA: Sage.CrossRefGoogle Scholar
Rönnlund, M., & Nilsson, L-G. (2008). The magnitude, generality, and determinants of Flynn effects on forms of declarative memory and visuospatial ability: Time-sequential analyses of data from a Swedish cohort study. Intelligence, 36, 192–209.CrossRefGoogle Scholar
Rönnlund, M., Nyberg, L., Bäckman, L., & Nilsson, L-G. (2005). Stability, growth, and decline in adult life span development of declarative memory: Data from a population-based study. Psychology and Aging, 20, 3–18.CrossRefGoogle ScholarPubMed
Salthouse, T. A. (1982). Adult cognition: An experimental psychology of human aging. New York: Springer-Verlag.CrossRefGoogle Scholar
Salthouse, T. A. (1996). The processing-speed theory of adult age differences in cognition. Psychological Review, 103, 403–428.CrossRefGoogle ScholarPubMed
Salthouse, T. A. (2006). Mental exercise and mental aging: Evaluating the validity of the “use it or lose it” hypothesis. Perspectives on Psychological Science, 1, 68–87.CrossRefGoogle ScholarPubMed
Salthouse, T. A., Pink, J. E., & Tucker-Drob, E. M. (2008). Contextual analysis of fluid intelligence. Intelligence, 36, 464–486.CrossRefGoogle ScholarPubMed
Schaie, K. W. (1977). Quasi-experimental designs in the psychology of aging. In Birren, J. E. & Schaie, K. W. (Eds.), Handbook of the psychology of aging (pp. 39–58). New York: Van Nostrand Reinhold.Google Scholar
Schaie, K. W. (1989). Perceptual speed in adulthood: Cross-sectional and longitudinal studies. Psychology and Aging, 4, 443–453.CrossRefGoogle ScholarPubMed
Schaie, K. W. (2009). “When does age-related cognitive decline begin?”: Salthouse again reifies the “cross-sectional fallacy.” Neurobiology of Aging, 30, 528–529.CrossRefGoogle Scholar
Schaie, K. W. (2012). Developmental influences on adult intelligence: The Seattle Longitudinal Study (2nd ed.). New York: Oxford University Press.CrossRefGoogle Scholar
Schaie, K. W., Maitland, S. B., Willis, S. L, & Intrieri, R. C. (1998). Longitudinal invariance of adult psychometric ability factor structures across 7 years. Psychology and Aging, 13, 8–20.CrossRefGoogle ScholarPubMed
Schooler, C., Mulatu, M. S., & Oates, G. (1999). The continuing effects of substantively complex work on the intellectual functioning of older workers. Psychology and Aging, 14, 483–506.CrossRefGoogle ScholarPubMed
Shadish, W., Cook, T. D., & Campbell, D. T. (2002). Experimental and quasi-experimental designs for generalized causal inference. Boston: Houghton Mifflin.Google Scholar
Singer, T., Verhaeghen, P., Ghisletta, P., Lindenberger, U., & Baltes, P. B. (2003). The fate of cognition in very old age: Six-year longitudinal findings in the Berlin Aging Study (BASE). Psychology and Aging, 18, 318–331.CrossRefGoogle Scholar
Sliwinski, M., & Buschke, H. (2004). Modeling intraindividual cognitive change in aging adults: Results from the Einstein Aging Studies. Aging, Neuropsychology and Cognition, 11, 196–211.CrossRefGoogle Scholar
Sliwinski, M. J., Hofer, S. M., Hall, C., Bushke, H., & Lipton, R. B. (2003). Modeling memory decline in older adults: The importance of preclinical dementia, attrition and chronological age. Psychology and Aging, 18, 658–671.CrossRefGoogle ScholarPubMed
Sliwinski, M. J., Hoffman, L., & Hofer, S. M. (2010). Evaluating convergence of within-person change and between-person differences in age-heterogeneous longitudinal studies. Research on Human Development, 7, 45–60.CrossRefGoogle ScholarPubMed
Spiro, A. III, & Brady, C. B. (2008).Integrating health into cognitive aging research and theory: Quo vadis? In, S. M. Hofer & Alwin, D. F. (Eds.), Handbook of cognitive aging: Interdisciplinary perspectives (pp. 260–283). Thousand Oaks, CA: Sage.CrossRefGoogle Scholar
Sternberg, R. J. (1985). Beyond IQ: A triarchic theory of human intelligence. Cambridge, UK: Cambridge University Press.Google Scholar
Stine-Morrow, A. L., Parisi, J. M., Morrow, D. G., Greene, J., & Park, D. C. (2007). The senior odyssey project: A model of intellectual and social engagement. Journal of Gerontology: Psychological Sciences, 62B, P62–P69.CrossRefGoogle Scholar
Thorvaldsson, V., Hofer, S. M., Berg, S., Skoog, I., Sacuiu, S., & Johansson, B. (2008). Onset of terminal decline in cognitive abilities in individuals without dementia. Neurology, 71, 882–887.CrossRefGoogle ScholarPubMed
Thurstone, L. L. (1938). Primary mental abilities. Chicago: University of Chicago Press.Google Scholar
Tranter, L. J., & Koutstaal, W. (2008). Age and flexible thinking: An experimental demonstration of the beneficial effects of increased cognitively stimulating activity on fluid intelligence in healthy older adults. Aging, Neuropsychology, and Cognition, 15, 184–207.CrossRefGoogle ScholarPubMed
Tucker-Drob, E. M. (2011). Global and domain-specific changes in cognition throughout adulthood. Developmental Psychology, 47, 331–343.CrossRefGoogle ScholarPubMed
Verhaeghen, P., & Salthouse, T. A.(1997). Meta-analyses of age-cognition relations in adulthood: Estimates of linear and non-linear age effects and structural models. Psychological Bulletin, 122, 231–249.CrossRefGoogle Scholar
Wechsler, D. (1939). Measurement of adult intelligence. Baltimore, MD: Williams & Wilkins.CrossRefGoogle Scholar
Wilson, R. S., Beck, T. L., Bienias, J. L., & Bennett, D. A. (2007). Terminal cognitive decline: Accelerated loss of cognition in the last years of life. Psychosomatic Medicine, 69, 131–137.CrossRefGoogle ScholarPubMed
Wilson, R. S., Bennett, D. A., Bienias, J. L., Mendes de Leon, C. F., Morris, M. C., & Evans, D. A. (2003). Cognitive activity and cognitive decline in a biracial community population. Neurology, 61, 812–816.CrossRefGoogle Scholar
Zelinski, E. M., & Kennison, R. F. (2007). Not your father’s test scores: Cohort reduces psychometric aging effects. Psychology and Aging, 22, 546–557.CrossRefGoogle Scholar
Zelinski, E. M., Kennison, R. F., Watts, A., & Lewis, K. L. (2009). Convergence between cross-sectional and longitudinal studies: Cohort matters. In Bosworth, H. B. & Hertzog, C. (Eds.), Aging and cognition: Research methodologies and empirical advances (pp. 101–118). Washington: American Psychological Association.CrossRefGoogle Scholar