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Cited by 539

The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

The time of our lives: Life span development of timing and event tracking.

McAuley, J. Devin, Jones, Mari Riess, Holub, Shayla, Johnston, Heather M., Miller, Nathaniel S.·2006·Journal of Experimental Psychology: General

Abstract

Life span developmental profiles were constructed for 305 participants (ages 4-95) for a battery of paced and unpaced perceptual-motor timing tasks that included synchronize-continue tapping at a wide range of target event rates. Two life span hypotheses, derived from an entrainment theory of timing and event tracking, were tested. A preferred period hypothesis predicted a monotonic slowing of a preferred rate (tempo) of event tracking across the life span. An entrainment region hypothesis predicted a quadratic profile in the range of event rates that produced effective timing across the life span; specifically, age-specific entrainment regions should be narrower in childhood and late adulthood than in midlife. Findings across tasks provide converging support for both hypotheses. Implications of these findings are discussed for understanding critical periods in development and age-related slowing of event timing.

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Metadata

Authors
McAuley, J. D., Jones, M. R., Holub, S., Johnston, H. M., & Miller, N. S.
Venue
Journal of Experimental Psychology: General
Published
2006
Volume
135
Issue
3
Pages
348-367
ISSN
  • 0096-3445 (ISSN-L)
  • 1939-2222
OpenAlex
W2155356469
Cited by
539
References
4
FWCI
4.45
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: The time of our lives: Life span development of timing and event tracking. https://app.cochat.ai/papers/10.1037/0096-3445.135.3.348
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McAuley, J. D., Jones, M. R., Holub, S., Johnston, H. M., & Miller, N. S. (2006). The time of our lives: Life span development of timing and event tracking. Journal of Experimental Psychology: General. https://doi.org/10.1037/0096-3445.135.3.348

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.