Expertise differences in a video decision-making task: Speed influences on performance

Lorains, Megan; Ball, Kevin; MacMahon, Clare

doi:10.1016/j.psychsport.2012.11.004

Cited by 61 publications

(84 citation statements)

References 16 publications

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“…Consequently, the vast majority of the talent-identified participants appear to have a greater decision-making skill than the non-talent-identified group; highlighting the importance of objectively assessing decision-making skill when identifying talent in the game. Unlike many studies that have previously been reported in the literature (Berry et al, 2008;Lorains, Ball, & MacMahon, 2013;Raab & Johnson, 2007;Ward et al, 2013), this study design had an intended focus on the product of decision-making rather than the processes underpinning it. To date, identifying talent in junior Australian football players has traditionally been more subjective (i.e.…”

Section: Discussionmentioning

confidence: 99%

Discriminating talent-identified junior Australian football players using a video decision-making task

Woods

Raynor

Bruce

et al. 2015

Journal of Sports Sciences

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This study examined if a video decision-making task could discriminate talent-identified junior Australian football players from their non-talent-identified counterparts. Participants were recruited from the 2013 under 18 (U18) West Australian Football League competition and classified into two groups: talent-identified (State U18 Academy representatives; n = 25; 17.8 ± 0.5 years) and non-talent-identified (non-State U18 Academy selection; n = 25; 17.3 ± 0.6 years). Participants completed a video decision-making task consisting of 26 clips sourced from the Australian Football League game-day footage, recording responses on a sheet provided. A score of "1" was given for correct and "0" for incorrect responses, with the participants total score used as the criterion value. One-way analysis of variance tested the main effect of "status" on the task criterion, whilst a bootstrapped receiver operating characteristic (ROC) curve assessed the discriminant ability of the task. An area under the curve (AUC) of 1 (100%) represented perfect discrimination. Between-group differences were evident (P < 0.05) and the ROC curve was maximised with a score of 15.5/26 (60%) (AUC = 89.0%), correctly classifying 92% and 76% of the talent-identified and non-talent-identified participants, respectively. Future research should investigate the mechanisms leading to the superior decision-making observed in the talent-identified group.

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Section: Discussionmentioning

confidence: 99%

Discriminating talent-identified junior Australian football players using a video decision-making task

Woods

Raynor

Bruce

et al. 2015

Journal of Sports Sciences

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“…Additionally, although being speculated, due to the multidimensional nature of Australian football, the elite participants may have possessed other desirable attributes (e.g. see Keogh, 1999;Lorains, Ball, & MacMahon, 2013;Woods et al, 2014) that outweighed a technical inefficiency. Nonetheless, accuracy on the nondominant side for both tests may not be a good single-term predictor of future success.…”

Section: Discussionmentioning

confidence: 99%

The use of skill tests to predict status in junior Australian football

Woods

Raynor

Bruce

et al. 2014

Journal of Sports Sciences

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This study examined whether skill tests were predictive of status in junior Australian football. Players were recruited from the 2013 under 18 (U18) West Australian Football League competition and classified into two groups: elite (state U18 squad representative; n = 25; 17.9 ± 0.5 years) and subelite (nonstate U18 squad representative; n = 25; 17.3 ± 0.6 years). Both groups completed the Australian football kicking (AFK) and Australian football handballing (AFHB) tests, assessing kicking accuracy/ball speed and handballing accuracy on dominant and nondominant sides. A multivariate analysis of variance (MANOVA) modelled the main effect of "status", whilst logistic regression models were built for the predictive analysis using the same test parameters. Between-group differences were noted across all parameters, with the combination of kicking accuracy and ball speed on the dominant and nondominant sides being the best predictor of status for the AFK test (wi = 0.25, AUC = 89.4%) and the combination of accuracy on the dominant and nondominant sides being the best predictor of status for the AFHB test (wi = 0.80, AUC = 88.4%). The AFK and AFHB tests are predictive of status, suggesting that their use is warranted as a means of talent identification in junior Australian football.

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“…However, in youth football, the subject of this study, there are a limited number of studies that directly or indirectly analyze the effect of the use of the modified game as a methodological resource (Blomqvist, Va¨nttinen, & Luhtanen, 2005). Lorains, Ball, and MacMahon (2013) pointed out the need to use representative tasks to engage athletes and make them feel like they are making decisions in a real game situation. Moreover, to assess the effectiveness of an intervention, in situ conditions must be used, where athletes are required to perform real sporting actions, because the effects of expertise are more apparent under these conditions (Travassos et al, 2013).…”

Section: Introductionmentioning

confidence: 99%

A Preliminary Study of the Effects of a Comprehensive Teaching Program, Based on Questioning, to Improve Tactical Actions in Young Footballers

et al. 2016

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The aim of this study was to analyze the effect of a comprehensive teaching program, based on questioning on decision making, and execution in football. The intervention program, based on teaching games for understanding model and including the application of questioning in a context of modified games, was applied during 21 training sessions. A quasi-experimental study with a prepost design with 18 male football players (M ¼ 10.7 years, SD ¼ 0.6) was developed over 18 weeks. Participants were divided into experimental group (n ¼ 9) and control group (n ¼ 9). A total of 1532 actions were observed (1120 passes and 412 dribbling). Results showed that after applying the intervention program, the players in the experimental group showed better decision making in the pass and dribbling actions, and better execution in the pass action, compared with the players from the control group. These results suggest that the application of questioning in a context of modified games must be taken into account to promote tactical training in young footballers and to improve their tactical behavior.

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Expertise differences in a video decision-making task: Speed influences on performance

Cited by 61 publications

References 16 publications

Discriminating talent-identified junior Australian football players using a video decision-making task

Discriminating talent-identified junior Australian football players using a video decision-making task

The use of skill tests to predict status in junior Australian football

A Preliminary Study of the Effects of a Comprehensive Teaching Program, Based on Questioning, to Improve Tactical Actions in Young Footballers

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