Moral Attitudes Predict Cheating and Gamesmanship Behaviors Among Competitive Tennis Players
Lucidi, F., Zelli, A., Mallia, L., Nicolais, G., Lazuras, L., & Hagger, M. (2017). Moral Attitudes Predict Cheating and Gamesmanship Behaviors Among Competitive Tennis Players. Frontiers in Psychology, 8, Article 571. https://doi.org/10.3389/fpsyg.2017.00571
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Frontiers in PsychologyAuthors
Date
2017Copyright
© 2017 Lucidi, Zelli, Mallia, Nicolais, Lazuras and Hagger. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY).
Background: The present study tested Lee et al.’s (2008) model of moral attitudes and
cheating behavior in sports in an Italian sample of young tennis players and extended
it to predict behavior in actual match play. In the first phase of the study we proposed
that moral, competence and status values would predict prosocial and antisocial moral
attitudes directly, and indirectly through athletes’ goal orientations. In the second phase,
we hypothesized that moral attitudes would directly predict actual cheating behavior
observed during match play.
Method: Adolescent competitive tennis players (N = 314, 76.75% males,
M age = 14.36 years, SD = 1.50) completed measures of values, goal orientations, and
moral attitudes. A sub-sample (n = 90) was observed in 45 competitive tennis matches
by trained observers who recorded their cheating and gamesmanship behaviors on a
validated checklist.
Results: Consistent with hypotheses, athletes’ values predicted their moral attitudes
through the effects of goal orientations. Anti-social attitudes directly predicted cheating
behavior in actual match play providing support for a direct link between moral attitude
and actual behavior.
Conclusion: The present study findings support key propositions of Lee and
colleagues’ model, and extended its application to competitive athletes in actual match
play.
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Frontiers Research FoundationISSN Search the Publication Forum
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Except where otherwise noted, this item's license is described as © 2017 Lucidi, Zelli, Mallia, Nicolais, Lazuras and Hagger. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY).
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