Development and preliminary validation of the mindfulness inventory for sport
Thienot, Emilie, Jackson, Ben, Dimmock, James, Grove, J. Robert, Bernier, Marjorie, and Fournier, Jean F. (2014) Development and preliminary validation of the mindfulness inventory for sport. Psychology of Sport and Exercise, 15 (1). pp. 72-80.
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Abstract
Objectives: Despite the increasing prevalence of mindfulness-based interventions in sport, no context-specific instrument currently exists to measure mindfulness in sport. The Mindfulness Inventory for Sport (MIS) was devised using a three-stage approach, to measure one's ability to: (1) be aware of disruptive stimuli and their associated internal reactions; (2) adopt a non-judgmental attitude towards these stimuli and reactions; and (3) quickly refocus attention on goal-related cues.
Method: In stage 1, a pool of items was developed and assessed by six experts in the areas of mindfulness and instrument validation. In stage 2, exploratory factor analyses with data collected from undergraduate student-athletes (N=370) resulted in a three-factor, 19-item version of the instrument. In stage 3, confirmatory analyses using structural equation modelling were conducted with a sample of elite athletes (N=343).
Results and conclusion: A final 15-item three-factor version displayed an acceptable model fit, with little evidence of invariance demonstrated across sport type and partial invariance across gender. In addition, the subscales of the MIS displayed significant correlations with conceptually-related variables such as flow, worry, concentration disruption, and perfectionism.
Item ID: | 61592 |
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Item Type: | Article (Research - C1) |
ISSN: | 1878-5476 |
Keywords: | attention, mindfulness, self-regulation, sport performance |
Copyright Information: | © 2013 Elsevier Ltd. |
Date Deposited: | 10 Mar 2020 22:12 |
FoR Codes: | 17 PSYCHOLOGY AND COGNITIVE SCIENCES > 1701 Psychology > 170114 Sport and Exercise Psychology @ 100% |
SEO Codes: | 92 HEALTH > 9299 Other Health > 929999 Health not elsewhere classified @ 100% |
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