Please use this identifier to cite or link to this item: doi:10.22028/D291-36319
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Title: Choosing an optimal motor-task difficulty is not trivial: The influence of age and expertise
Author(s): Schaefer, Sabine
Ohlinger, Christian
Frisch, Nicole
Language: English
Title: Psychology of Sport and Exercise
Volume: 57
Publisher/Platform: Elsevier
Year of Publication: 2021
Free key words: Expertise
Development
Strategy
Motor task
Risk-tasking
Task-difficulty
DDC notations: 796 Sports
Publikation type: Journal Article
Abstract: An accurate estimate of one’s performance is an important prerequisite for success, and prevents people from taking excessive risks. Based on the selection-margins paradigm (Riediger et al., 2006), the current paper assessed maximum speed rope-skipping (study 1), soccer dribbling (study 2), and the fine motor task of tracing (study 3) in 5- to 37-year-olds. Participants predicted their performances for the upcoming trial. The better the predicted performance, the more points were gained in case of success. To discourage overestimations, participants received no points for unsuccessful trials. In rope skipping, older and more experienced athletes outperformed the beginners, and had fewer trials with 0 points. In soccer dribbling and tracing, older individuals again showed less overestimation, as reflected by a smaller deviation of predicted and actual performance (selection margins) and fewer 0 point trials. Athletes and coaches should be aware that younger and less-experienced athletes tend to overestimate their motor performances.
DOI of the first publication: 10.1016/j.psychsport.2021.102031
URL of the first publication: https://www.sciencedirect.com/science/article/abs/pii/S1469029221001497?via%3Dihub
Link to this record: urn:nbn:de:bsz:291--ds-363198
hdl:20.500.11880/32986
http://dx.doi.org/10.22028/D291-36319
ISSN: 1469-0292
Date of registration: 1-Jun-2022
Faculty: HW - Fakultät für Empirische Humanwissenschaften und Wirtschaftswissenschaft
Department: HW - Sportwissenschaft
Professorship: HW - Prof. Dr. Sabine Schäfer
Collections:SciDok - Der Wissenschaftsserver der Universität des Saarlandes

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