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Consistency of performance-related emotions in elite athletes: Generalizability theory applied to the IZOF model
Institution:1. Department of Psychology, University of Oslo, Blindern, N-0137 Oslo, Norway;2. KIHU-Research Institute for Olympic Sports, SF-40700 Jyväskylä, Finland;1. University of Taipei, Taipei, Taiwan;2. Bangor University, Bangor, UK;1. German Sport University, Cologne, Institute of Cognitive and Team/Racket Sport Research, Am Sportpark Müngersdorf 6, 50933 Köln, Germany;2. University of Mannheim, Germany;3. University of Heidelberg, Germany;1. Faculty of Kinesiology & Physical Education, University of Toronto, Canada;2. School of Kinesiology, The University of British Columbia, Canada;3. Departments of Kinesiology/Physical Education and Psychology, Wilfrid Laurier University, Canada;4. School of Sport, Exercise, and Rehabilitation Sciences, University of Birmingham, United Kingdom;1. School of Sport, Health and Exercise Science, Bangor University, Bangor, LL57 2PZ, United Kingdom;2. University of South Wales, Alfred Russel Wallace Building, Pontypridd, CF37 4AT, United Kingdom
Abstract:ObjectivesTo estimate the between- and within-individual consistency of the individual zones of optimal functioning (IZOF)-based emotion profiles describing successful and unsuccessful (sub-standard) performance situations.MethodThe methodology of generalizability theory (GT) was applied to two multifaceted measurement designs in studies of 12 highly skilled ice-hockey players assessed by the 28-item aggregated sport-specific emotion scale (Study 1) and a single-case involving elite soccer player (Study 2) using self-generated individualized emotion scale, respectively.ResultsA unique and specific interaction of emotions (the IZOF-“iceberg” or bell-shaped profile) characterized successful performance situations in both Study 1 and 2. This pattern with predominance of optimal pleasant and unpleasant emotions was consistently revealed in between- and within-individual comparisons. In contrast, failure (or sub-standard performance) could not be characterized in terms of one unique and specific profile. However, the findings clearly motivate future research to identify multiple emotion profiles to conceptualize sub-standard performance. The paper offers hypotheses to guide future research.ConclusionsFindings provided support for conceptualizing performance situations in terms of relatively stable optimal and dysfunctional patterns of interaction of pleasant and unpleasant emotions. Results also demonstrate that GT is a methodology that can accommodate idiographic as well as nomothetic approaches to estimating within-individual and between-individual consistency patterns of performance-related emotions.
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