 Top hundred chess experts: A cross-domain analysis of change over timeAngel Blanch Intelligence, 2018, vol. 71, issue C, 76-84 Abstract: The domain of chess has served in the past to address the individual variability in expert development and performance. However, the process towards expertise has been generally unexplored concerning top experts at the extreme upper tail of the chess skill distribution. This study analyzed the top hundred chess players in the world from 2009 to 2015. A cross-domain latent curve model (LCM) was used to examine individual differences in age and in the simultaneous trajectory in chess tournament activity and chess performance. The main findings indicated individual differences in the change in tournament activity and performance, albeit tournament activity decreased whereas performance increased. Younger players were more involved in tournament activity and increased their performance at a faster pace than older players did. The dynamic change in tournament activity was a stronger predictor of the change in performance than the static cumulated amount of activity. Age and the change in tournament activity explained only half of the variation in the change in performance across the observed period. Keywords: Expert performance; Chess; Aging; Practice (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:eee:intell:v:71:y:2018:i:c:p:76-84 DOI: 10.1016/j.intell.2018.10.007 Access Statistics for this article Intelligence is currently edited by R.J. Haier More articles in Intelligence from Elsevier |
Is your work missing from RePEc? Here is how to contribute.
Questions or problems? Check the EconPapers FAQ or send mail to .
EconPapers is hosted by the
School of Business at Örebro University.