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Flow in Sport

Authors:
  • Southern Cross University, Coffs Harbour

Abstract

Sport offers rich opportunities to experience flow by posing both mental and physical challenges. Studies specifically investigating flow in sport were first published in 1992. Since then a body of empirical research has emerged in this area, which this chapter aims to review in terms of: (i) the methods commonly used to study flow in sport (i.e., interviews, questionnaires, and the Experience Sampling Method); and (ii) key research themes (i.e., the experience, occurrence, controllability and correlates of flow in sport). In turn, current issues within this field are examined, and recommendations are made for future research, including the need to build towards a causal explanation of flow, and potential refinement in understanding how athletes experience these optimal states.
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... Engels and Freund (2018) could show that students' perceptions of their physical competences determine the level of joy they experience when being physically active. This is in line with reported positive associations between flow and competence (Keskin Akın et al., 2018;Swann, 2016). Also Stormoen et al. (2016) could show that the fulfillment of the basic psychological needs of competence, belongingness and autonomy accounted for 39% of the variance of flow experiences in 167 Norwegian high school students. ...
... Dispositional flow seems to be influenced by an interaction of internal (e.g. thoughts and emotions), external (environment and situation) and behavioral factors (Swann, 2016). In the P.E. ...
... Since performing musicians are exposed to physical and psychological stress that can lead to disorders and health problems, it would be important to implement appropriate interventions to help make their musical career rewarding and sustained over time (Kenny and Ackermann, 2016). It has been suggested that interventions should target skills training related to flow factors and the personality characteristics of the individual (such as good preparation, task concentration, coping strategies, goal setting, motivational exercises, confidence building and activation management) (Swann, 2016). Recent research that assessed an intervention programme applied to performing musicians showed that the programme had a positive and statistically significant influence on both the musicians' overall flow level and on two of the components of flow: sense of control and loss of self-consciousness. ...
... The need for musicians to develop psychological selfregulation skills has been considered, and for training to not only focus exclusively on technical-performance skills (Brodsky, 1996;Williamon, 2004;Clark and Williamon, 2011;Wrigley and Emmerson, 2013;Cohen and Bodner, 2019a;Spahn et al., 2021;Moral-Bofill et al., 2022a,b). In fact, it has been suggested that targeted interventions should be based on skills training related to flow factors, as well as other related factors (Swann, 2016;Moral-Bofill et al., 2022b). ...
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Introduction Flow state has been deemed a desirable state for performing musicians given its negative correlations with musical performance anxiety, its relationship to optimal performance, and its possible effect on creativity. In the field of music, there are a few studies that have assessed intervention programmes to promote flow state in performing musicians with varying results in terms of their success. The flow condition-experience model proposes three components that would be the conditions for flow state to occur and six components that describe the experience of being in a flow state. In addition, within the vast academic literature on this experience, other factors that could influence its occurrence have been proposed. The main objective of this research was to detect which are the most suitable predictors from a set of independent variables collected to distinguish performing musicians with a high flow level. Methods A binary logistic regression analysis was carried out with data from 163 musicians aged between 18 and 65. Independent variables were introduced in the analysis: skill-challenge balance, clear goals and clear feedback (condition-experience model); and also, gender, age, dedication, (musical) style, musical instrument and (performing) situation. Results The results showed that the three conditions of the condition-experience model and the situation variable had positive associations with flow state. The model explained 78% of the variance of the dependent variable and obtained a 90.8% correct classification rate. Discussion These variables seem to contribute most to a high flow level, and the importance of keeping in mind the intrinsic reasons why performers dedicate themselves to music is emphasised. The results and their implications for the training of performing musicians are discussed. Future lines of research are proposed, as well as collecting data on personality-related variables to introduce them into the regression model.
... This study examines how workplace bullying lowers employee selfesteem and affects organizational commitment. Self-esteem is a person's self-worth and values (Swann, 2016). Organizational commitment depends on self-esteem. ...
... We think others see us. Most self-esteem-raising efforts fail (Swann, 2016). Self-esteem is required. ...
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Chapter
This chapter presents an overview of contested and evolving understandings of flow as a collection of components or dimensions, and associated definitional difficulties, including debates as to whether flow is a continuum or an all-or-nothing phenomenon; disagreements as to both how many components constitute flow and how they inter-relate; divergent perspectives with respect to core features of flow; and acknowledgement that existing models and measures might capture/conflate more than one psychological state. The discussion in this chapter initiates an argument for a reworked conceptualisation of flow that simultaneously tightens its focus on the significance of an imbalance in skills versus challenge and recalibrates the relationship between flow and control. Developing and presenting a ‘dimensional-depth’ model of flow that incorporates and integrates multiple and divergent perspectives even within componential constructs of flow, this chapter lays the groundwork for further conceptual reformulation through consideration of channel, process and dynamic understandings of flow in chapter “Channel and Process Models of Flow”.
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Chapter
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