Performance under pressure in skill tasks: An analysis of professional darts
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DOI: 10.1371/journal.pone.0228870
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Citations
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Cited by:
- Daniel Goller, 2023.
"Analysing a built-in advantage in asymmetric darts contests using causal machine learning,"
Annals of Operations Research, Springer, vol. 325(1), pages 649-679, June.
- Goller, Daniel, 2020. "Analysing a built-in advantage in asymmetric darts contests using causal machine learning," Economics Working Paper Series 2013, University of St. Gallen, School of Economics and Political Science.
- Daniel Goller, 2020. "Analysing a built-in advantage in asymmetric darts contests using causal machine learning," Papers 2008.07165, arXiv.org.
- Christoph Buehren & Marvin Gabriel, 2021. "Performing best when it matters the most: Evidence from professional handball," MAGKS Papers on Economics 202119, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
- Mark D. Stephenson & Ben Schram & Elisa F. D. Canetti & Robin Orr, 2022. "Effects of Acute Stress on Psychophysiology in Armed Tactical Occupations: A Narrative Review," IJERPH, MDPI, vol. 19(3), pages 1-9, February.
- J.D. Tena & Jorge Tovar, 2021.
"Emotions and Performance:A Quasi Natural Experiment From the FIFA World Cup,"
Working Papers
202105, University of Liverpool, Department of Economics.
- Jorge Tovar, 2022. "Emotions and performance: A quasi natural experiment from the FIFA World Cup," Documentos CEDE 20068, Universidad de los Andes, Facultad de Economía, CEDE.
- Bühren Christoph & Gabriel Marvin, 2023. "Performing best when it matters the most: evidence from professional handball," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 19(3), pages 185-203, September.
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