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Influence of Practice Schedule on Testing Schema Theory Predictions in Adults

Lee, Timothy D., Magill, Richard A., Weeks, Daniel J.·1985·Journal of Motor Behavior

Abstract

Since the publication of Schmidt's (1975) schema theory of motor learning, numerous studies have assessed the variability of practice hypothesis. Of these, only research using children as subjects has provided consistent results. Findings from adult studies have been equivocal. Two experiments were conducted to assess the possibility that the schedule of variable practice during acquisition may be a clue to this equivocality, since only experiments (using adults as subjects) that have provide random variability of practice conditions have consistently supported the tenets of schema theory. Using a two movement rapid timing task, subjects learned to control their actions under one (constant) or four (variable) parameters, with variable practice conducted under either a blocked or a randomized schedule. Results for variable error and absolute constant error showed that random-variable practice provided strong support for the schema theory prediction, whereas blocked-variable practice provided only relatively weak support. Two contrasting implications of these results are discussed with respect to support versus non-support for Schmidt' schema theory.

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Metadata

Authors
Lee, T. D., Magill, R. A., & Weeks, D. J.
Venue
Journal of Motor Behavior
Published
1985-09
Volume
17
Issue
3
Pages
283-299
ISSN
  • 0022-2895 (ISSN-L)
  • 1940-1027
OpenAlex
W1978317791
Cited by
169
References
2
FWCI
2.63
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Influence of Practice Schedule on Testing Schema Theory Predictions in Adults. https://app.cochat.ai/papers/10.1080/00222895.1985.10735350
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Lee, T. D., Magill, R. A., & Weeks, D. J. (1985). Influence of Practice Schedule on Testing Schema Theory Predictions in Adults. Journal of Motor Behavior. https://doi.org/10.1080/00222895.1985.10735350

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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