Literature DB >> 15822609

A psychometric analysis of chess expertise.

Han L J van der Maas1, Eric-Jan Wagenmakers.   

Abstract

This study introduces the Amsterdam Chess Test (ACT). The ACT measures chess playing proficiency through 5 tasks: a choose-a-move task (comprising two parallel tests), a motivation questionnaire, a predict-a-move task, a verbal knowledge questionnaire, and a recall task. The validity of these tasks was established using external criteria based on the Elo chess rating system. Results from a representative sample of active chess players showed that the ACT is a very reliable test for chess expertise and that ACT has high predictive validity. Several hypotheses about the relationships between chess expertise, chess knowledge, motivation, and memory were tested. Incorporating response latencies in test scores is shown to lead to an increase in criterion validity, particularly for easy items.

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Mesh:

Year:  2005        PMID: 15822609

Source DB:  PubMed          Journal:  Am J Psychol        ISSN: 0002-9556


  14 in total

1.  The effects of time pressure on chess skill: an investigation into fast and slow processes underlying expert performance.

Authors:  Frenk van Harreveld; Eric-Jan Wagenmakers; Han L J van der Maas
Journal:  Psychol Res       Date:  2006-12-22

2.  A Race Model for Responses and Response Times in Tests.

Authors:  Jochen Ranger; Jörg-Tobias Kuhn; José-Luis Gaviria
Journal:  Psychometrika       Date:  2014-11-08       Impact factor: 2.500

3.  Modeling Differences Between Response Times of Correct and Incorrect Responses.

Authors:  Maria Bolsinova; Jesper Tijmstra
Journal:  Psychometrika       Date:  2019-08-28       Impact factor: 2.500

4.  Meta-analysis of age and skill effects on recalling chess positions and selecting the best move.

Authors:  Jerad H Moxley; Neil Charness
Journal:  Psychon Bull Rev       Date:  2013-10

5.  A Generalized Speed-Accuracy Response Model for Dichotomous Items.

Authors:  Peter W van Rijn; Usama S Ali
Journal:  Psychometrika       Date:  2017-11-21       Impact factor: 2.500

6.  Response time distributions in rapid chess: a large-scale decision making experiment.

Authors:  Mariano Sigman; Pablo Etchemendy; Diego Fernández Slezak; Guillermo A Cecchi
Journal:  Front Neurosci       Date:  2010-10-07       Impact factor: 4.677

7.  Chess knowledge predicts chess memory even after controlling for chess experience: Evidence for the role of high-level processes.

Authors:  David M Lane; Yu-Hsuan A Chang
Journal:  Mem Cognit       Date:  2018-04

8.  Large-scale brain networks in board game experts: insights from a domain-related task and task-free resting state.

Authors:  Xujun Duan; Wei Liao; Dongmei Liang; Lihua Qiu; Qing Gao; Chengyi Liu; Qiyong Gong; Huafu Chen
Journal:  PLoS One       Date:  2012-03-12       Impact factor: 3.240

9.  Measuring chess experts' single-use sequence knowledge: an archival study of departure from 'theoretical' openings.

Authors:  Philippe Chassy; Fernand Gobet
Journal:  PLoS One       Date:  2011-11-16       Impact factor: 3.240

10.  The tell-tale heart: heart rate fluctuations index objective and subjective events during a game of chess.

Authors:  María J Leone; Agustín Petroni; Diego Fernandez Slezak; Mariano Sigman
Journal:  Front Hum Neurosci       Date:  2012-10-08       Impact factor: 3.169

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