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Early developmental trends on time- and event-based prospective memory tasks

Published online by Cambridge University Press:  29 October 2015

David Shum ,
Rochelle Matjac  and
Heather Ward
David Shum*
Affiliation:
School of Psychology, Griffith University
Rochelle Matjac
Affiliation:
School of Psychology, Griffith University
Heather Ward
Affiliation:
School of Psychology, Griffith University
*
School of Psychology, Griffith University, Nathan, Queensland Australia 4111, Phone: 61 7 3875 3370, E-mail: d.shum@griffith.edu.au
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Abstract

This study assessed childhood prospective memory, the memory for future intentions such as remembering to hand in homework by: (a) comparing 47 children in three age groups; (b) using both time- (i.e., CyberCruiser)*, and event-based (i.e., a card sorting task) prospective memory tosks; and (c) examining relationships between prospective and retrospective memory, and prospective memory and two tests of executive function (Stroop Colour-Word Interference Test [Stroop] and Tower of London [TOL]. Results indicated improvements with age, albeit not identical patterns of improvement, on both prospective- and retrospective-memory tasks and the TOL Furthermore, the TOL was significantly correlated with both measures of prospective memory. The different patterns of improvement with age on the prospective memory tasks suggest that it is not the type of task per se that matters so much as the complexity of the task. It is recommended that aspects of task demand be investigated further.

Keywords

Prospective memoryRetrospective memoryChildrenExecutive functions
Type
Research Article
Information
The Educational and Developmental Psychologist , Volume 22 , Issue 1 , 2005 , pp. 38 - 53
Copyright
Copyright © Australian Psychological Society 2005

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Footnotes

* The authors wish to thank Kimberley Kerns for providing a copy of CyberCruiser, the task she designed.

References

Anderson, V., Northam, E., Hendy, J., & Wrennall, J. (2001). Developmental Neuropsychology: A clinical approach. East Sussex, UK: Psychology Press Ltd.Google Scholar
Ceci, S.J., & Bronfenbrenner, U. (1985). “Don’t forget to take the cupcakes out of the oven”: Prospective memory, strategic time monitoring, and context. Child Development, 56, 152–164.CrossRefGoogle ScholarPubMed
Einstein, G.O., & McDaniel, M.A. (1990). Normal aging and prospective memory. Journal of Experimental Psychology: Learning, Memory and Cognition, 16, 717–726.Google ScholarPubMed
Ellis, J. (1996). Prospective memory or the realization of delayed intentions: Aconceptual framework for research. In Brandimonte, M. Einstein, G. & McDaniel, M. (Eds.), Prospective memory: Theories and Applications (pp. 1–22). Mahwah, NJ: Lawrence Erlbaum Associates.Google Scholar
Ellis, J. & Kvavilashvili, L. (2000). Prospective memory in 2000: Past, present, and future directions. Applied Cognitive Psychology, 14, S1–S9.CrossRefGoogle Scholar
Gabrieli, J.D.E., Fleischman, D.A., Kearne, M.M., & Reminger, S.L. (1995). Double dissociation between memory stystems underlying explicit and implicit memory in the human brain. Psychological Science, 6, 76–82.CrossRefGoogle Scholar
Golden, C.J., Espe-Pfeifer, P., & Wachsler-Felder, J. (2000). Neuropsychological interpretations of objective psychological tests. NY: Kluwer Academic/Plenum Publishers.Google Scholar
Hanes, K.R., Andrewes, D.G.,Smith, D.J., & Pantelis, C. (1996). A brief assessment of executive control dysfunction: Discriminant validity and homogeneity of planning, set shift, and fluency measures. Archives of Clinical Neuropsychology, 18, 185–191.CrossRefGoogle Scholar
Kerns, K.A. (2000). The CyberCruiser: An investigation of development of prospective memory in children. Journal of International Neuropsychological Society, 6, 62–70.CrossRefGoogle ScholarPubMed
Kvavilashvili, L., Messer, D.J., & Ebdon, P. (2001). Prospective memory in children: The effects of age and task interruption. Developmental Psychology, 37, 418–430.CrossRefGoogle ScholarPubMed
Lehr, E. (1990). Psychological management of traumatic brain injuries in children and adolescents (Rehabilitation Institute of Chicago Procedure Manual). Rockville, MD: Aspen Publishers, Inc.Google Scholar
Levin, H.S., Song, J., Scheibel, R.S., Fletcher, J.M., Harward, H., Lilly, M., & Goldstein, F. (1997). Concept formation and problem solving following closed head injury in children. Journal of the International Neuropsychological Society, 3, 598–607.CrossRefGoogle ScholarPubMed
Lezak, M.D. (1982). The problem of assessing executive functions. International Journal of Psychology, 17, 281.CrossRefGoogle Scholar
Maujean, A., Shum, D., & McQueen, R. (2003). The effect of cognitive demand on prospective memory in individuals with traumatic brain injury. Brain Impairment, 4,CrossRefGoogle Scholar
Maylor, E.A. (1996). Does prospective memory decline withage? In Brandimonte, M. Einstein, G.O. & McDaniel, M.A. (Eds.), Prospective memory: Theory and applications (pp.115–141). New Jersey: Lawrence Erlbaum Associates Ltd.Google Scholar
Nissen, M.J. (1992). Procedural and declarative learning: Distinctions and interactions, In Squire, L.R. & Butters, N. (Eds.), Neuropsychology of memory (2nd ed., pp.203–210). New York: The Guilford Press.Google Scholar
Saint-Cyr, J.A., & Taylor, A.E. (1992). The mobilization of procedural learning: The “key signature” of the basal ganglia. In Squire, L.R. & Butters, N. (Eds.), Neuropsychology of memory (2nd ed., pp.188–202). New York: The Guilford Press.Google Scholar
Shallice, T. (1982). Specific impairments of planning. Philosophical Transactions of The Royal Society of London B, 298, 199–209.Google ScholarPubMed
Shimamura, A.P., Janowsky, J.S. & Squire, L.R. (1991). What is the role of frontal lobe damage in memory disorders? In Levin, H.S. Eisenburg, H.M. and Benton, A.L. (Eds.), Frontal lobe function and dysfunction (pp. 173–195). NewYork: Oxford University Press.CrossRefGoogle Scholar
Shum, D.H.K., McFarland, K.A., & Bain, J.D. (1990). Construct validity of eight tests of attention: Comparison of normal and closed head injured samples. The Clinical Neuropsychologist, 4, 141–162.Google Scholar
Shum, D., Short, L., Tunstall, J., O’Gorman, J.G., Wallace, G., Shephard, K., & Murray, R. (2000). Performance of children with traumatic brain injury on a 4-disk version of the Tower of London and the Porteus Maze. Brain and Cognition, 44, 59–62.CrossRefGoogle Scholar
Squire, L.R. (1992). Declarative and nondeclarative memory: Multiple brain systems supporting learning and memory. Journal of Cognitive Neuroscience, 4, 232–243.CrossRefGoogle ScholarPubMed
The Psychological Corporation (1999). Wechsler Abbreviated Scale of Intelligence. San Antonia, CA: Author.Google Scholar
Tunstall, J. (19999). Improving the utility of the Tower of London: A Neuropsychological test of planning. Unpublished M Phil: Griffith University, Brisbane, Australia.Google Scholar
Uttl, B., & Graf, P. (1997). Color word stroop test performance across the adult life Span. Journal of Clinical and Experimental Neuropsychology, 19, 405–420.CrossRefGoogle ScholarPubMed
West, R.L. (1988). Prospective memory and aging. In Gruneberg, M. M. Morris, P.E. & Sykes, R.N. (Eds.), Practical aspects of memory: Current Research and issues, Vol 1 (pp.348–353). Chichester, UK: John Wiley & Sons.Google Scholar