Do the physical and environment PETTLEP elements predict sport imagery ability?

Research output: Contribution to journalArticlepeer-review

8 Citations (Scopus)
674 Downloads (Pure)

Abstract

The present study aimed to examine whether physical and environment elements of PETTLEP imagery relate to the ability to image five types of sport imagery (i.e. skill, strategy, goal, affect and mastery). Two hundred and ninety participants (152 males, 148 females; Mage = 20.24 years, SD = 4.36) from various sports completed the Sport Imagery Ability Questionnaire (SIAQ), and a set of items designed specifically for the study to assess how frequently participants incorporate physical (e.g. ‘I make small movements or gestures during the imagery’) and environment (e.g. ‘I image in the real training/competition environment’) elements of PETTLEP imagery. Structural equation modelling tested a hypothesised model in which imagery priming (i.e. the best fitting physical and environment elements) significantly and positively predicted imagery ability of the different imagery types (skill, β = 0.38; strategy, β = 0.23; goal, β = 0.21; affect, β = 0.25; mastery, β = 0.22). The model was a good fit to the data: χ2 (174) = 263.87, p < .001, CFI = .96, TLI = .95, SRMR = .09, RMSEA = 0.05 (90% CI = 0.03–0.05). Findings displayed that priming imagery with physical and environment elements is associated with better skill, strategy, goal, affect and mastery imagery ability. The findings extend models of imagery use by indicating that how athletes images may influence their imagery ability.
Original languageEnglish
Pages (from-to)1319-1327
JournalEuropean Journal of Sport Science
Volume17
Issue number10
Early online date26 Sept 2017
DOIs
Publication statusPublished - Oct 2017

Keywords

  • imagery ability
  • physical elements
  • environment elements
  • PETTLEP imagery
  • imagery types

Fingerprint

Dive into the research topics of 'Do the physical and environment PETTLEP elements predict sport imagery ability?'. Together they form a unique fingerprint.

Cite this