Book contents
- The Cambridge Handbook of Expertise and Expert Performance
- The Cambridge Handbook of Expertise and Expert Performance
- Copyright page
- Contents
- Notes on Contributors
- Acknowledgments
- Part I Introduction and Perspectives
- Part II Overview of Approaches to the Study of Expertise: Brief Historical Accounts of Theories and Methods
- Part III Methods for Studying the Structure of Expertise
- Part IV Methods for Studying the Acquisition and Maintenance of Expertise
- Part V.I Domains of Expertise: Professions
- Part V.II Domains of Expertise: Arts, Sports, Games, and Other Skills
- Part VI Generalizable Mechanisms Mediating Types of Expertise
- Part VII General Issues and Theoretical Frameworks
- 38 The Differential Influence of Experience, Practice, and Deliberate Practice on the Development of Superior Individual Performance of Experts
- 39 Practical Intelligence and Tacit Knowledge: An Ecological View of Expertise
- 40 Cognitive Load and Expertise Reversal
- 41 Expertise and Structured Imagination in Creative Thinking: Reconsideration of an Old Question
- 42 Aging and Expertise
- Index of Subjects
- References
42 - Aging and Expertise
from Part VII - General Issues and Theoretical Frameworks
Published online by Cambridge University Press: 10 May 2018
Book contents
- The Cambridge Handbook of Expertise and Expert Performance
- The Cambridge Handbook of Expertise and Expert Performance
- Copyright page
- Contents
- Notes on Contributors
- Acknowledgments
- Part I Introduction and Perspectives
- Part II Overview of Approaches to the Study of Expertise: Brief Historical Accounts of Theories and Methods
- Part III Methods for Studying the Structure of Expertise
- Part IV Methods for Studying the Acquisition and Maintenance of Expertise
- Part V.I Domains of Expertise: Professions
- Part V.II Domains of Expertise: Arts, Sports, Games, and Other Skills
- Part VI Generalizable Mechanisms Mediating Types of Expertise
- Part VII General Issues and Theoretical Frameworks
- 38 The Differential Influence of Experience, Practice, and Deliberate Practice on the Development of Superior Individual Performance of Experts
- 39 Practical Intelligence and Tacit Knowledge: An Ecological View of Expertise
- 40 Cognitive Load and Expertise Reversal
- 41 Expertise and Structured Imagination in Creative Thinking: Reconsideration of an Old Question
- 42 Aging and Expertise
- Index of Subjects
- References
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- The Cambridge Handbook of Expertise and Expert Performance , pp. 835 - 856Publisher: Cambridge University PressPrint publication year: 2018
References
Ackerman, P. L. (1988). Determinants of individual differences during skill acquisition: Cognitive abilities and information processing. Journal of Experimental Psychology: General, 117, 288–318.Google Scholar
Amer, T., Kalender, B., Hasher, L., Trehub, S. E., & Wong, Y. (2013). Do older professional musicians have cognitive advantages? PloS ONE, 8. DOI: ARTN e71630 DOI 10.1371/journal.pone.0071630.Google Scholar
Bahrick, H. P., & Hall, L. K. (1991). Lifetime maintenance of high school mathematics content. Journal of Experimental Psychology: General, 120, 20–33.Google Scholar
Bailey, S. K. T., & Sims, V. K. (2014). Self-reported craft expertise predicts maintenance of spatial ability in old age. Cognitive Processing, 15(2), 227–231.Google Scholar
Bengtsson, S. L., Nagy, Z., Skare, S., Forsman, L., Forssberg, H., & Ullén, F. (2005). Extensive piano practicing has regionally specific effects on white matter development. Nature Neuroscience, 8, 1148–1150.Google Scholar
Bialystok, E., & DePape, A. M. (2009). Musical expertise, bilingualism, and executive functioning. Journal of Experimental Psychology: Human Perception and Performance, 35, 565–574.Google ScholarPubMed
Bilalić, M., Kiesel, A., Pohl, C., Erb, M., & Grodd, W. (2011). It takes two: Skilled recognition of objects engages lateral areas in both hemispheres. PloS ONE, 6. DOI: ARTN e16202 10.1371/journal.pone.0016202.Google Scholar
Bilalić, M., Langner, R., Erb, M., & Grodd, W. (2010). Mechanisms and neural basis of object and pattern recognition: A study with chess experts. Journal of Experimental Psychology: General, 139, 728–742.CrossRefGoogle ScholarPubMed
Boisgontier, M. P., Beets, I. A., Duysens, J., Nieuwboer, A., Krampe, R. T., & Swinnen, S. P. (2013). Age-related differences in attentional cost associated with postural dual tasks: Increased recruitment of generic cognitive resources in older adults. Neuroscience & Biobehavioral Reviews, 37, 1824–1837.CrossRefGoogle ScholarPubMed
Bosman, E. A. (1993). Age-related differences in the motoric aspects of transcription typing skill. Psychology and Aging, 8, 87–102.Google Scholar
Cabeza, R., Anderson, N. D., Locantore, J. K., & McIntosh, A. R. (2002). Aging gracefully: Compensatory brain activity in high-performing older adults. NeuroImage, 17, 1394–1402.Google Scholar
Callahan, J. S., Kiker, D. S., & Cross, T. (2003). Does method matter? A meta-analysis of the effects of training method on older learner training performance. Journal of Management, 29, 663–680.Google Scholar
Campbell, K. L., Grady, C. L., Ng, C., & Hasher, L. (2012). Age differences in the frontoparietal cognitive control network: Implications for distractibility. Neuropsychologia, 50, 2212–2223.Google Scholar
Campitelli, G., & Gobet, F. (2011). Deliberate practice: Necessary but not sufficient. Current Directions in Psychological Science, 20, 280–285.Google Scholar
Castel, A. D. (2007). Aging and memory for numerical information: The role of specificity and expertise in associative memory. Journals of Gerontology Series B: Psychological Sciences and Social Sciences, 62, P194–P196.CrossRefGoogle ScholarPubMed
Cattell, R. B. (1971). Abilities: Their structure, growth, and action. Boston: Houghton Mifflin.Google Scholar
Cattell, R. B. (1987). Intelligence: Its structure, growth and action. New York: North-Holland.Google Scholar
Cavallini, E., Cornoldi, C., & Vecchi, T. (2009). The effects of age and professional expertise on working memory performance. Applied Cognitive Psychology, 23, 382–395.Google Scholar
Cerella, J. (1990). Aging and information processing rates in the elderly. In Birren, J. E. & Schaie, K. W. (eds.), Handbook of the psychology of aging (3rd edn.) (pp. 201–221). San Diego, CA: Academic Press.CrossRefGoogle Scholar
Charness, N. (1981a). Aging and skilled problem solving. Journal of Experimental Psychology: General, 110, 21–38.Google Scholar
Charness, N. (1981b). Search in chess: Age and skill differences. Journal of Experimental Psychology: Human Perception and Performance, 7, 467–476.Google Scholar
Charness, N. (1989). Expertise in chess and bridge. In Klahr, D. & Kotovsky, K. (eds.), Complex information processing: The impact of Herbert A. Simon (pp. 183–208). Hillsdale, NJ: Erlbaum.Google Scholar
Charness, N., & Bosman, E. A. (1990). Expertise and aging: Life in the lab. In Hess, T. M. (ed.), Aging and cognition: Knowledge organization and utilization (pp. 343–385). Amsterdam: Elsevier Science.CrossRefGoogle Scholar
Charness, N., Kelley, C. L., Bosman, E. A., & Mottram, M. (2001). Word-processing training and retraining: Effects of adult age, experience, and interface. Psychology and Aging, 16, 110–127.Google Scholar
Charness, N., Krampe, R. T., & Mayr, U. (1996). The role of practice and coaching in entrepreneurial skill domains: An international comparison of life-span chess skill acquisition. In Ericsson, K. A. (ed.), The road to excellence: The acquisition of expert performance in the arts and sciences, sports and games (pp. 51–80). Mahwah, NJ: Erlbaum.Google Scholar
Charness, N., Tuffiash, M., Krampe, R., Reingold, E., & Vasyukova, E. (2005). The role of deliberate practice in chess expertise. Applied Cognitive Psychology, 19, 151–165.Google Scholar
Chase, W. G., & Ericsson, K. A. (1981). Skilled memory. In Anderson, J. R. (ed.), Cognitive skills and their acquisition (pp. 141–189). Hillsdale, NJ: Erlbaum.Google Scholar
Chase, W. G., & Ericsson, K. A. (1982). Skill and working memory. In Bower, G. H. (ed.), The psychology of learning and motivation (Vol. 16, pp. 1–58). San Diego, CA: Academic Press.Google Scholar
Colonia-Willner, R. (1998). Practical intelligence at work: Relationship between aging and cognitive efficiency among managers in a bank environment. Psychology and Aging, 13, 45–57.CrossRefGoogle Scholar
Delon-Martin, C., Plailly, J., Fonlupt, P., Veyrac, A., & Royet, J. P. (2013). Perfumers’ expertise induces structural reorganization in olfactory brain regions. NeuroImage, 68, 55–62.Google Scholar
Detterman, D. K., & Daniel, M. H. (1989). Correlations of mental tests with each other and with cognitive variables are highest for low IQ groups. Intelligence, 13, 349–359.CrossRefGoogle Scholar
Dixon, R. A., & Baltes, P. B. (1986). Toward life-span research on the functions and pragmatics of intelligence. In Sternberg, R. J. & Wagner, R. K. (eds.), Practical intelligence: Nature and origins of competence in the everyday world (pp. 203–235). Cambridge University Press.Google Scholar
Elbert, T., Pantev, C., Wienbruch, C., Rockstroh, B., & Taub, E. (1995). Increased cortical representation of the fingers of the left hand in string players. Science, 270, 305–307.Google Scholar
Elo, A. E. (1965). Age changes in master chess performances. Journal of Gerontology, 20, 289–299.Google Scholar
Elo, A. E. (1986). The rating of chessplayers, past and present (2nd edn.). New York: Arco.Google Scholar
Ericsson, K. A. (2014). Why expert performance is special and cannot be extrapolated from studies of performance in the general population: A response to criticisms. Intelligence, 45, 81–103.CrossRefGoogle Scholar
Ericsson, K. A. (2016). Summing up hours of any type of practice versus identifying optimal practice activities: Commentary on Macnamara, Moreau, & Hambrick (2016). Perspectives on Psychological Science, 11, 351–354.Google Scholar
Ericsson, K. A., & Charness, N. (1994). Expert performance: Its structure and acquisition. American Psychologist, 49, 725–747.CrossRefGoogle Scholar
Ericsson, K. A., & Kintsch, W. (1995). Long-term working memory. Psychological Review, 102, 211–245.Google Scholar
Ericsson, K. A., Krampe, R. T., & Tesch-Römer, C. (1993). The role of deliberate practice in the acquisition of expert performance. Psychological Review, 100, 363–406.Google Scholar
Ericsson, K. A., & Lehmann, A. C. (1996). Expert and exceptional performance: Evidence on maximal adaptations on task constraints. Annual Review of Psychology, 47, 273–305.Google Scholar
Ericsson, K. A., & Pool, R. (2016). Peak: Secrets from the new science of expertise. New York: Houghton Mifflin Harcourt.Google Scholar
Galton, F. (1979). Hereditary genius: An inquiry into its laws and consequences. London: Julian Friedman Publishers. (Original work published 1869)Google Scholar
Gartner, H., Minnerop, M., Pieperhoff, P., Schleicher, A., Zilles, K., Altenmuller, E., & Amunts, K. (2013). Brain morphometry shows effects of long-term musical practice in middle-aged keyboard players. Frontiers in Psychology, 4. DOI: Artn 636 10.3389/Fpsyg.2013.00636.Google Scholar
Gaser, C., & Schlaug, G. (2003). Gray matter differences between musicians and nonmusicians. Annals of the New York Academy of Sciences, 999, 514–517.Google Scholar
Gembris, H., & Heye, A. (2014). Growing older in a symphony orchestra: The development of the age-related self-concept and the self-estimated performance of professional musicians in a lifespan perspective. Musicae Scientiae, 18, 371–391.CrossRefGoogle Scholar
Gentner, D. G. (1987). Timing of skilled motor performance: Tests of the proportional duration model. Psychological Review, 94, 255–276.Google Scholar
Hambrick, D. Z., & Engle, R. W. (2002). Effects of domain knowledge, working memory capacity and age on cognitive performance: An investigation of the knowledge-is-power hypothesis. Cognitive Psychology, 44, 339–387.Google Scholar
Hanakawa, T., Honda, M., Okada, T., Fukuyama, H., & Shibasaki, H. (2003). Neural correlates underlying mental calculation in abacus experts: A functional magnetic resonance imaging study. NeuroImage, 19, 296–307.CrossRefGoogle ScholarPubMed
Hanggi, J., Langer, N., Lutz, K., Birrer, K., Merillat, S., & Jancke, L. (2015). Structural brain correlates associated with professional handball playing. PloS ONE, 10. DOI: UNSP e0124222 10.1371/journal.pone.0124222.Google Scholar
Hanna-Pladdy, B., & Gajewski, B. (2012). Recent and past musical activity predicts cognitive aging variability: Direct comparison with general lifestyle activities. Frontiers in Human Neuroscience, 6, 198. DOI: 10.3389/fnhum.2012.00198.Google Scholar
Hoffman, R. R., Shadbolt, N. R., Burton, A. M., & Klein, G. (1995). Eliciting knowledge from experts: A methodological analysis. Organizational Behavior and Human Decision Processes, 62, 129–158.Google Scholar
Horn, J. L., & Masunaga, H. (2000). New directions for research into aging and intelligence: The development of expertise. In Perfect, T. J. & Maylor, E. A. (eds.), Models of cognitive aging: Debates in psychology (pp. 125–159). Oxford University Press.CrossRefGoogle Scholar
Howe, M. J. A., Davidson, J. W., & Sloboda, J. A. (1999). Innate talents: Reality or myth? Behavioral and Brain Sciences, 21, 399–442.Google Scholar
Hoyer, W. J., & Ingolfsdottir, D. (2003). Age, skill, and contextual cuing in target detection. Psychology and Aging, 18, 210–218.Google Scholar
Hulin, C. L., Henry, R. A., & Noon, S. L. (1990). Adding a dimension: Time as a factor in the generalizability of predictive relationships. Psychological Bulletin, 107, 328–340.Google Scholar
Jastrzembski, T. S., & Charness, V. (2007). The model human processor and the older adult: Parameter estimation and validation within a mobile phone task. Journal of Experimental Psychology: Applied, 13, 224–248.Google Scholar
Jentzsch, I., Mkrtchian, A., & Kansal, N. (2014). Improved effectiveness of performance monitoring in amateur instrumental musicians. Neuropsychologia, 52, 117–124.Google Scholar
Kaufman, A. S. (2001). WAIS-III IQs, Horn’s theory, and generational changes from young adulthood to old age. Intelligence, 29, 131–167.Google Scholar
Kennedy, Q., Taylor, J., Noda, A., Yesavage, J., & Lazzeroni, L. C. (2015). The STEP model: Characterizing simultaneous time effects on practice for flight simulator performance among middle-aged and older pilots. Psychology and Aging, 30, 699–711.Google Scholar
Kliegl, R., Smith, J., & Baltes, P. B. (1989). Testing-the-limits and the study of adult age differences in cognitive plasticity of a mnemonic skill. Developmental Psychology, 25, 247–256.Google Scholar
Kramer, A. F., & Willis, S. L. (2002). Enhancing the cognitive vitality of older adults. Current Directions in Psychological Sciences, 11, 173–177.Google Scholar
Krampe, R. T. (2002). Aging, expertise and fine motor movement. Neuroscience and Biobehavioral Reviews, 26, 769–776.CrossRefGoogle ScholarPubMed
Krampe, R. T., & Baltes, P. B. (2003). Intelligence as adaptive resource development and resource allocation: A new look through the lenses of SOC and expertise. In Sternberg, R. J. & Grigorenko, E. L. (eds.), The psychology of abilities, competencies, and expertise (pp. 31–69). Cambridge University Press.Google Scholar
Krampe, R. T., Engbert, R., & Kliegl, R. (2001). Age-specific problems in rhythmic timing. Psychology and Aging, 16, 12–30.Google Scholar
Krampe, R. T., & Ericsson, K. A. (1996). Maintaining excellence: Deliberate practice and elite performance in young and older pianists. Journal of Experimental Psychology: General, 125, 331–359.Google Scholar
Krampe, R. T., Kliegl, R., Mayr, U., Engbert, R., & Vorberg, D. (2000). The fast and the slow of skilled bimanual rhythm production: Parallel versus integrated timing. Journal of Experimental Psychology: Human Perception and Performance, 26, 206–233.Google Scholar
Krampe, R. T., Smolders, C., & Doumas, M. (2014). Leisure sports and postural control: Can a black belt protect your balance from aging? Psychology and Aging, 29, 95–102.Google Scholar
Krampe, R. T., Wenderoth, N., Lavrysen, A., & Swinnen, S. P. (forthcoming). It’s all in the wrist: Neural expert mechanisms protect musicians’ timing skills from aging.Google Scholar
Leyk, D., Ruther, T., Wunderlich, M., Sievert, A., Essfeld, D., Witzki, A., … & Lollgen, H. (2010). Physical performance in middle age and old age: Good news for our sedentary and aging society. Deutsches Arzteblatt International, 107, 809–816.Google Scholar
Li, S. C., Lindenberger, U., Hommel, B., Aschersleben, G., Prinz, W., & Baltes, P. B. (2004). Transformations in the couplings among intellectual abilities and constituent cognitive processes across the life span. Psychological Science, 15, 155–163.Google Scholar
Lima, S. D., Hale, S., & Myerson, J. (1991). How general is general slowing? Evidence from the lexical domain. Psychology and Aging, 6, 416–425.Google Scholar
Lindenberger, U., Kliegl, R., & Baltes, P. B. (1992). Professional expertise does not eliminate negative age differences in imagery-based memory performance during adulthood. Psychology and Aging, 7, 585–593.CrossRefGoogle Scholar
Macnamara, B. N., Moreau, D., & Hambrick, D. Z. (2016). The relationship between deliberate practice and performance in sports: A meta-analysis. Perspectives on Psychological Science, 11, 333–350.Google Scholar
Maguire, E. A., Gadian, D. G., Johnsrude, I. S., Good, C. D., Ashburner, J., Frackowiak, R. S. J., & Frith, C. D. (2000). Navigation-related structural change in the hippocampi of taxi drivers. Proceedings of the National Academy of Sciences USA, 97, 4398–4403.CrossRefGoogle ScholarPubMed
Maguire, E. A., Valentine, E. R., Wilding, J. M., & Kapur, N. (2003). Routes to remembering: The brains behind superior memory. Nature Neuroscience, 6, 90–95.Google Scholar
Masunaga, H., & Horn, J. (2001). Expertise in relation to aging changes in components of intelligence. Psychology and Aging, 16, 293–311.CrossRefGoogle ScholarPubMed
Maylor, E. A. (1994). Ageing and the retrieval of specialized and general knowledge: Performance of masterminds. British Journal of Psychology, 85, 105–114.Google Scholar
McEvoy, G. M., & Cascio, W. F. (1989). Cumulative evidence of the relationship between employee age and job performance. Journal of Applied Psychology, 74, 11–17.Google Scholar
Meinz, E. J. (2000). Experience-based attenuation of age-related differences in music cognition tasks. Psychology and Aging, 15, 297–312.Google Scholar
Meister, I., Krings, T., Foltys, H., Boroojerdi, B., Muller, M., Topper, R., & Thron, A. (2005). Effects of long-term practice and task complexity in musicians and nonmusicians performing simple and complex motor tasks: Implications for cortical motor organization. Human Brain Mapping, 25, 345–352.Google Scholar
Mireles, D. E., & Charness, N. (2002). Computational explorations of the influence of structured knowledge on age-related cognitive decline. Psychology and Aging, 17, 245–259.Google Scholar
Moreno, S., Bialystok, E., Barac, R., Schellenberg, E. G., Cepeda, N. J., & Chau, T. (2011). Short-term music training enhances verbal intelligence and executive function. Psychological Science, 22, 1425–1433.Google Scholar
Morrow, D. G., Ridolfo, H. E., Menard, W. E., Sanborn, A., Stine-Morrow, E. A. L., Magnor, C., … & Bryant, D. (2003). Environmental support promotes expertise-based mitigation of age differences on pilot communication tasks. Psychology and Aging, 18, 268–284.Google Scholar
Myerson, J., Hale, S., Wagstaff, D., Poon, L. W., & Smith, G. A. (1990). The information-loss model: A mathematical theory of age-related cognitive slowing. Psychological Review, 97, 475–487.Google 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.Google Scholar
Nunes, A., & Kramer, A. F. (2009). Experience-based mitigation of age-related performance declines: Evidence from air traffic control. Journal of Experimental Psychology: Applied, 15, 12–24.Google Scholar
Over, R., & Thomas, P. (1995). Age and skilled psychomotor performance: A comparison of younger and older golfers. International Journal of Aging & Human Development, 41, 1–12.Google Scholar
Parbery-Clark, A., Anderson, S., Hittner, E., & Kraus, N. (2012). Musical experience offsets age-related delays in neural timing. Neurobiology of Aging, 33(7), e1481–e1484.Google Scholar
Park, D. C., & Reuter-Lorenz, P. (2009). The adaptive brain: Aging and neurocognitive scaffolding. Annual Review of Psychology, 60, 173–196.Google Scholar
Pimentel, A. E., Gentile, C. L., Tanaka, H., Seals, D. R., & Gates, P. E. (2003). Greater rate of decline in maximal aerobic capacity with age in endurance-trained than in sedentary men. Journal of Applied Physiology, 94, 2406–2413.Google Scholar
Rabbitt, P. M. A. (1993a). Crystal quest: A search for the basis of maintenance of practised skills into old age. In Baddeley, A. & Weiskrantz, L. (eds.), Attention: Selection, awareness, and control (pp. 188–230). Oxford: Clarendon Press.Google Scholar
Rabbitt, P. M. A. (1993b). Does it all go together when it goes? The Nineteenth Memorial Bartlett Lecture. Quarterly Journal of Experimental Psychology Section A, 46, 385–434.Google Scholar
Raz, N., Gunning-Dixon, F., Head, D., Rodrigue, K. M., Williamson, A., & Acker, J. D. (2004). Aging, sexual dimorphism, and hemispheric asymmetry of the cerebral cortex: Replicability of regional differences in volume. Neurobiology of Aging, 25, 377–396.Google Scholar
Reuter, E. M., Voelcker-Rehage, C., Vieluf, S., Winneke, A. H., & Godde, B. (2014). Extensive occupational finger use delays age effects in tactile perception: An ERP study. Attention Perception & Psychophysics, 76, 1160–1175.Google Scholar
Reuter-Lorenz, P. A., & Cappell, K. A. (2008). Neurocognitive aging and the compensation hypothesis. Current Directions in Psychological Science, 17, 177–182.CrossRefGoogle Scholar
Roring, R. W., & Charness, N. (2007). A multilevel model analysis of expertise in chess across the life span. Psychology and Aging, 22, 291–299.Google Scholar
Salthouse, T. A. (1984). Effects of age and skill in typing. Journal of Experimental Psychology: General, 113, 345–371.Google Scholar
Salthouse, T. A. (1991). Expertise as the circumvention of human processing limitations. In Ericsson, K. A. & Smith, J. (eds.), Toward a general theory of expertise: Prospects and limits (pp. 286–300). Cambridge University Press.Google Scholar
Salthouse, T. A. (1996). The processing-speed theory of adult age differences in cognition. Psychological Review, 103, 403–428.Google Scholar
Salthouse, T. A., Babcock, R. L., Skovronek, E., Mitchell, D. R. D., & Palmon, R. (1990). Age and experience effects in spatial visualization. Developmental Psychology, 26, 128–136.Google Scholar
Salthouse, T. A., & Maurer, T. J. (1996). Aging, job performance, and career development. In Birren, J. E. & Schaie, K. W. (eds.), Handbook of the psychology of aging (4th edn.) (pp. 353–364). New York: Academic Press.Google Scholar
Schellenberg, E. G. (2004). Music lessons enhance IQ. Psychological Science, 15, 511–514.CrossRefGoogle ScholarPubMed
Schellenberg, E. G. (2011). Examining the association between music lessons and intelligence. British Journal of Psychology, 102, 283–302.Google Scholar
Schmidt, F. L., & Hunter, J. E. (1998). The validity and utility of selection methods in personnel psychology: Practical and theoretical implications of 85 years of research findings. Psychological Bulletin, 124, 262–274.Google Scholar
Schooler, C., & Mulatu, M. S. (2001). The reciprocal effects of leisure time activities and intellectual functioning in older people: A longitudinal analysis. Psychology and Aging, 16, 466–482.Google Scholar
Schulz, R., & Curnow, C. (1988). Peak performance and age among superathletes: Track and field, swimming, baseball, tennis and golf. Journal of Gerontology: Psychological Sciences, 43, 113–120.Google Scholar
Seidler, R., Erdeniz, B., Koppelmans, V., Hirsiger, S., Merillat, S., & Jancke, L. (2015). Associations between age, motor function, and resting state sensorimotor network connectivity in healthy older adults. NeuroImage, 108, 47–59.Google Scholar
Simonton, D. K. (2012). Creative productivity and aging. In Whitbourne, S. K. & Sliwinski, M. J. (eds.), Wiley-Blackwell handbook of adulthood and aging (pp. 477–496). Malden, MA: Wiley-Blackwell.Google Scholar
Singer, T., Lindenberger, U., & Baltes, P. B. (2003). Plasticity of memory for new learning in very old age: A story of major loss? Psychology and Aging, 18, 306–317.Google Scholar
Sloboda, J. A. (1991). Musical expertise. In Ericsson, K. A. & Smith, J. (eds.), Toward a general theory of expertise: Prospects and limits (pp. 153–171). Cambridge University Press.Google Scholar
Sluming, V., Brooks, J., Howard, M., Downes, J. J., & Roberts, N. (2007). Broca’s area supports enhanced visuospatial cognition in orchestral musicians. Journal of Neuroscience, 27, 3799–3806.Google Scholar
Sternberg, R. J. (1999). Intelligence as developing expertise. Contemporary Educational Psychology, 24, 359–375.Google Scholar
Sternberg, R. J., & Wagner, R. K. (1986). Practical intelligence: Nature and origins of competence in the everyday world. Cambridge University Press.Google Scholar
Sturman, M. C. (2003). Searching for the inverted U-shaped relationship between time and performance: Meta-analyses of the experience/performance, tenure/performance, and age/performance relationships. Journal of Management, 29, 609–640.Google Scholar
Swaen, G. M. H., Kant, I., van Amelsvoort, L. G. P. M., & Beurskens, A. J. H. M. (2002). Job mobility, its determinants, and its effects: Longitudinal data from the Maastricht cohort study. Journal of Occupational Health Psychology, 7, 121–129.Google Scholar
Tanaka, H., & Seals, D. R. (2003). Invited review. Dynamic exercise performance in Masters athletes: Insight into the effects of primary human aging on physiological functional capacity. Journal of Applied Physiology, 95, 2152–2162.Google Scholar
Taylor, J. L., Kennedy, Q., Adamson, M. M., Lazzeroni, L. C., Noda, A., Murphy, G. M., & Yesavage, J. A. (2011). Influences of APOE epsilon4 and expertise on performance of older pilots. Psychology and Aging, 26, 480–487.Google Scholar
Taylor, J. L., Kennedy, Q., Noda, A., & Yesavage, J. A. (2007). Pilot age and expertise predict flight simulator performance: A 3-year longitudinal study. Neurology, 68, 648–654.Google Scholar
Vaci, N., Gula, B., & Bilalić, M. (2015). Is age really cruel to experts? Compensatory effects of activity. Psychology and Aging, 30, 740–754.Google Scholar
Verhaeghen, P. (2014). The elements of cognitive aging: Meta-analyses of age-related differences in processing speed and their consequences. Oxford University Press.Google Scholar
Vieluf, S., Godde, B., Reuter, E. M., & Voelcker-Rehage, C. (2013). Effects of age and fine motor expertise on the bilateral deficit in force initiation. Experimental Brain Research, 231, 107–116.Google Scholar
Wagner, R. K., & Sternberg, R. J. (1991). Tacit knowledge: Its uses in identifying, assessing, and developing managerial talent. In Jones, J., Steffy, B. & Bray, D. (eds.), Applying psychology in business: The manager’s handbook (pp. 333–344). New York: Human Sciences Press.Google Scholar
Wai, J. (2014). Experts are born, then made: Combining prospective and retrospective longitudinal data shows that cognitive ability matters. Intelligence, 45, 74–80.Google Scholar
Waldman, D. A., & Avolio, B. J. (1986). A meta-analysis of age-differences in job performance. Journal of Applied Psychology, 71, 33–38.Google Scholar
Walsh, D. A., & Hershey, D. A. (1993). Mental models and the maintenance of complex problem-solving skills in old age. In Cerella, J., Rybash, J., Hoyer, W., & Commons, M. (eds.), Adult information processing: Limits on loss (pp. 553–584). San Diego, CA: Academic Press.Google Scholar
West, R. L. (1996). An application of prefrontal cortex function theory to cognitive aging. Psychological Bulletin, 120, 272–292.Google Scholar
Westerman, S. J., Davies, D. R., Glendon, A. I., & Stammers, R. B. (1998). Ageing and word processing competence: Compensation or compilation. British Journal of Psychology, 89, 579–597.Google Scholar
Winner, E. (1982). Invented worlds: The psychology of the arts. Cambridge, MA: Harvard University Press.Google Scholar
Winner, E. (1996). The rage to master: The decisive role of talent in the visual arts. In Ericsson, K. A. (ed.), The road to excellence: The acquisition of expert performance in the arts and sciences, sports and games (pp. 271–302). Hillsdale, NJ: Erlbaum.Google Scholar
Woollett, K., & Maguire, E. A. (2011). Acquiring “the knowledge” of London’s layout drives structural brain changes. Current Biology, 21, 2109–2114.Google Scholar
Yang, L., Krampe, R. T., & Baltes, P. B. (2006). Basic forms of cognitive plasticity extended into the oldest-old: Retest learning, age, and cognitive functioning. Psychology and Aging, 21, 372–378.Google Scholar
Zendel, B. R., & Alain, C. (2014). Enhanced attention-dependent activity in the auditory cortex of older musicians. Neurobiology of Aging, 35, 55–63.Google Scholar