Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/33878
Appears in Collections:Faculty of Health Sciences and Sport Journal Articles
Peer Review Status: Refereed
Title: Cognitive and Affective Motivation Profiles of Student-Athletes Compared to Student Non-Athletes in University
Author(s): Parker, Patti C
Perry, Raymond P
Hamm, Jeremy M
Chipperfield, Judy G
Li, Johnson
Leboe-McGowan, Launa
Coffee, Pete
Contact Email: peter.coffee@stir.ac.uk
Keywords: sport
student-athletes
attributions
achievement motivation
Date Deposited: 25-Jan-2022
Citation: Parker PC, Perry RP, Hamm JM, Chipperfield JG, Li J, Leboe-McGowan L & Coffee P (2022) Cognitive and Affective Motivation Profiles of Student-Athletes Compared to Student Non-Athletes in University. Journal of Contemporary Athletics.
Abstract: Background: Attribution theory posits that individuals’ explanations for their achievement outcomes trigger cognitive and affective processes that drive motivated behaviour (Weiner, 2018). Objective: This study examines the relational structure of these processes for individuals who experience simultaneous demands arising from disparate achievement settings (sport and academic) and how they are associated with performance. Study groups: Postsecondary student-athletes (n = 207) participating in sport competitively (participating 5x or greater per week) and students not involved in sport (n = 534) were examined. Methods: Using latent profile analyses, our study identifies attribution-based motivation profiles for student-athletes and students not involved in sport in a two-semester, online introductory university course. Results: Student-athletes’ cognitions and emotions yielded three motivation profiles: high control-positive emotion (56%), moderate control-emotion (29%), and low control-negative emotion (15%). In contrast, LPA for student non-athletes yielded four profiles: high control-positive emotion (27%), high control-mixed attribution (25%), moderate control-emotion (30%), and low control-negative emotion (18%). Of these profiles, theoretically predicted adaptive and maladaptive profiles were associated with better and worse performance, respectively. Conclusions: Relative to student non-athletes, student-athletes exhibited more homogenous motivation profiles and were at greater risk of achievement setbacks. The implications of the findings are discussed in light of the demands placed on student-athletes entering postsecondary settings and potential approaches are offered to assist those with at-risk motivation profiles.
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Notes: Output Status: Forthcoming
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