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Do Athletes Imagine Being the Best, or Crossing the Finish Line First? A Mixed Methods Analysis of Construal Levels in Elite Athletes' Spontaneous Imagery

[journal article]

Kacperski, Celina
Ulloa, Roberto
Hall, Craig

Abstract

The purpose of this article is to illustrate data transformation in a mixed methods research phenomenological study, investigating how athletes use concrete and abstract spontaneous imagery in and around competition. To achieve this, we combined the application of co-occurring codes and numerical tr... view more

The purpose of this article is to illustrate data transformation in a mixed methods research phenomenological study, investigating how athletes use concrete and abstract spontaneous imagery in and around competition. To achieve this, we combined the application of co-occurring codes and numerical transformation in a novel way. A thematic analysis of qualitative interviews with 12 elite athletes identified concrete imagery to focus on strategy generation, error correction, technique, and preparation, and abstract imagery to focus on desirability, symbolic and verbal representations, and regulation of affect, arousal, and mastery. Statistical analysis identified that subjective effectiveness of imagery significantly differed for sport type (reactive/static) and competition times. Researchers wishing to apply statistical analyses to qualitative data are encouraged to employ our methodology.... view less

Keywords
sport psychology; athlete; competitive sports; match; motivation; self-control

Classification
Applied Psychology
Methods and Techniques of Data Collection and Data Analysis, Statistical Methods, Computer Methods

Free Keywords
spontaneous athletic imagery; construal level theory; abstraction and concreteness; mixed methods

Document language
English

Publication Year
2019

Page/Pages
p. 216-241

Journal
Journal of Mixed Methods Research, 13 (2019) 2

DOI
https://doi.org/10.1177/1558689816674563

ISSN
1558-6901

Status
Postprint; peer reviewed

Licence
Creative Commons - Attribution-Noncommercial-No Derivative Works 4.0


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© 2007 - 2025 Social Science Open Access Repository (SSOAR).
Based on DSpace, Copyright (c) 2002-2022, DuraSpace. All rights reserved.