Individual differences in a positional learning task across the adult lifespan

Learning and Individual Differences

Volumn 20, Issue 1, 2010, Pages 1-7

  Rast, Philippe ^a   Zimprich, Daniel ^a  

^a UNIVERSITY OF ZURICH   (Switzerland)

Author keywords

Ageing; Education; Individual differences; Positional learning; Processing speed

Indexed keywords

EID: 71249100642     PISSN: 10416080     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.lindif.2009.10.010     Document Type: Article

References (43)

1. Ackerman P.L., Sternberg R.J., and Glaser R. Learning and individual differences: Advances in theory and research (1989), W. H. Freeman and Company, New York
2. Birren J.E., and Morrison D.F. Analysis of the WAIS subtests in relation to age and education. Journal of Gerontology 16 (1961) 363-368
3. Brown S., and Heathcote A. Averaging learning curves across and within participants. Behavior Research Methods, Instruments, and Computers 35 (2003) 11-21
4. Browne M.W. Structured latent curve models. In: Cuadras C., and Rao C. (Eds). Multivariate analysis: Future directions Vol. 2 (1993), Elsevier Science, Amsterdam 171-197
5. Browne M.W., and Du Toit S.H.C. Models for learning data. In: Collins L.M., and Horn J.L. (Eds). Best methods for the analysis of change (1991), American Psychological Association, Washington, DC 47-68
6. Bryk A.S., and Raudenbush S.W. Hierarchical linear models (1992), Sage, Newbury Park, CA
7. Burt D.B., Zembar M.J., and Niederehe G. Depression and memory impairment: a meta-analysis of the association, its pattern, and specificity. Psychological Bulletin 117 (1995) 285-305
8. Cerella J., Onyper S.V., and Hoyer W.J. The associative-memory basis of cognitive skill learning: Adult age differences. Psychology and Aging 21 (2006) 483-498
9. Cohen J. Statistical power analysis for the behavioral sciences. 2nd edition (1988), Lawrence Erlbaum, Hillsdale, NJ
10. Cousineau D., Hélie S., and Lefebvre C. Testing curvatures of learning functions on individual trial and block average data. Behavior Research Methods, Instruments, and Computers 35 (2003) 493-503
11. Craik F.I.M., and Jacoby L.L. Aging and memory: Implications for skilled performance. In: Rogers W.A., Fisk A.D., and Walker N. (Eds). Aging and skilled performance: Advances in theory and applications. No. 4 (1996), Lawrence Erlbaum Associates, Mawah, NJ 113-137
12. Davidian M., and Giltinan D.M. Nonlinear models for repeated measurement data (1995), Chapman & Hall, New York
13. Engle R.W., Tuholski S.W., Laughlin J.E., and Conway A.R.A. Working memory, short-term memory, and general fluid intelligence: A latent-variable approach. Journal of Experimental Psychology: General 128 (1999) 309-331
14. Feuerstein R. The dynamic assessment of retarded performers: The learning potential, assessment device, theory, instruments, and techniques. 2nd edition (1982), University Park Press, Baltimore
15. Gutman G.M. The effects of age and extraversion on pursuit rotor reminiscence. Journal of Gerontology 20 (1965) 346-350
16. Harrington D.L., and Haaland K.Y. Skill learning in the elderly: diminished implicit and explicit memory for a motor sequence. Psychology and Aging 7 (1992) 425-434
17. Heathcote A., Brown S., and Mewhort D.J.K. The power law repealed: The case for an exponential law of practice. Psychonomic Bulletin and Review 7 (2000) 185-207
18. Hultsch D.F., Hertzog C., Small B.J., and Dixon R.A. Use it or lose it: Engaged lifestyle as a buffer of cognitive decline in aging?. Psychology and Aging 14 (1999) 245-263
19. Iverson G.L., Brooks B.L., Ashton V.L., Johnson L.G., and Gualtieri C.T. Does familiarity with computers affect computerized neuropsychological test performance?. Journal of Clinical and Experimental Neuropsychology 31 (2009) 594-604
20. Jones R.N., Rosenberg A.L., Morris J.N., Allaire J.C., McCoy K.J.M., Marsiske M., et al. A growth curve model of learning acquisition among cognitively normal older adults. Experimental Aging Research 31 (2005) 291-312
21. Kausler D.H. Learning and memory in normal aging (1994), Academic Press, Inc, San Diego
22. MacCallum R.C., Browne M.W., and Sugawara H.M. Power analysis and determination of sample size for covariance structure modeling. Psychological Methods 1 (1996) 130-149
23. Mazur J.E., and Hastie R. Learning as accumulation: A reexamination of the learning curve. Psychological Bulletin 85 (1978) 1256-1274
24. McArdle J.J., and Anderson E. Latent variable growth models for research on aging. In: Birren J.E., and Schaie K.W. (Eds). Handbook of the psychology of aging. 3 rd edition (1990), Academic Press, San Diego, CA 310-319
25. McCullagh P., and Nelder J.A. Generalized linear models. 2nd edition (1989), Chapman and Hall, London
26. Meredith W., and Tisak J. Latent curve analysis. Psychometrika 55 (1990) 107-122
27. Molenberghs G., and Verbeke G. Models for discrete longitudinal data (2005), Springer, New York
28. Muthén L., and Muthén B. Mplus User's Guide (2004), Muthén & Muthén, Los Angeles, CA
29. Nilsson L.-G. Memory function in normal aging. Acta Neurologica Scandinavica 107 (2003) 7-13
30. Nilsson L.-G., Backman L., Erngrund K., Nyberg L., Adolfson R., Bucht G., et al. The betula prospective cohort study: Memory, health, and aging. Aging, Neuropsychology and Cognition 4 1 (1997) 1-32
31. Rast P., and Zimprich D. Age differences in the underconfidence-with-practice effect. Experimental Aging Research 35 (2009) 400-431
32. Rast, P., & Zimprich, D. (in press). Individual differences and reliability of paired associates learning in younger and older adults. Psychology and Aging.
33. Royston P., and Altman D.G. Regression using fractional polynomials of continuous covariates: Parsimonious parametric modelling. Applied Statistics 43 (1994) 429-467
34. Salthouse T.A. The processing-speed theory of adult age differences in cognition. Psychological Review 103 (1996) 403-428
35. Salthouse T.A., and Somberg B.L. Skilled performance: effects of adult age and experience on elementary processes. Journal of Experimental Psychology: General 111 (1982) 176-207
36. Schaie K.W. The course of adult intellectual development. American Psychologist 49 (1994) 304-313
37. Sidman M. A note on functional relations obtained from group data. Psychological Bulletin 49 (1952) 263-269
38. Snow R.E. Aptitude-treatment interaction as a framework for research on individual differences in learning. In: Ackerman P.L., Sternberg R.J., and Glaser R. (Eds). Learning and individual differences: Advances in theory and research (1989), W. H. Freeman and Company, New York 13-60
39. van Der Elst W., van Boxtel M.P.J., van Breukelen G.J.P., and Jolles J. Rey's verbal learning test: Normative data for 1855 healthy participants aged 24-81 years and the influence of age, sex, education, and mode of presentation. Journal of the International Neuropsychological Society 11 (2005) 290-302
40. Zhang Z., Davis H.P., Salthouse T.A., and Tucker-Drob E.M. Correlates of individual, and age-related, differences in short-term learning. Learning and Individual Differences 17 (2007) 231-240
41. Zimprich D., Martin M., Kliegel M., Dellenbach M., Rast P., and Zeintl M. Cognitive ability structure in old age: First results from the Zurich Longitudinal Study on Cognitive Aging. Swiss Journal of Psychology 67 (2008) 177-195
42. Zimprich, D., & Rast, P. (2009). Verbal learning changes in older adults across 18 months. Aging, Neuropsychology and Cognition, 16, 461-484.
43. Zimprich D., Rast P., and Martin M. Individual differences in verbal learning in old age. In: Hofer S., and Alwin D.F. (Eds). The handbook of cognitive aging: Interdisciplinary perspectives (2008), Sage Publications, Thousand Oaks, CA 224-243