Please use this identifier to cite or link to this item: https://hdl.handle.net/10316/97350
Title: Factors Influencing Student-Athletes' Identity: A Multilevel Regression and Poststratification Approach
Authors: Quinaud, Ricardo T.
Gonçalves, Carlos E. 
Capranica, Laura
Carvalho, Humberto M. 
Keywords: sports; social identity; multilevel modeling; university; questionnaires; Bayesian methods
Issue Date: 13-Jan-2020
metadata.degois.publication.title: Perceptual and Motor Skills
metadata.degois.publication.volume: 127
metadata.degois.publication.issue: 2
Abstract: We considered identity variation among Brazilian university student-athletes in relation to their gender, sport type, competition level, and university type. Participants were 506 student-athletes (219 males and 287 females) from public and private Brazilian universities, competing in team and individual sports, at local, state, and national levels. We used multilevel regression and poststratification to estimate each participant’s identity from the aforementioned variables. Gender and sport type were not associated with any substantial identify variation, but there were higher values on Baller Identity Measurement Scale dimensions for student-athletes from public versus private universities, and student-athletes competing at the highest level had lower Baller Identity Measurement Scale values compared to peers competing at lower levels. Overall, university type and sport competitive level were the contextual factors that most influenced Brazilian student-athletes’ identities.
URI: https://hdl.handle.net/10316/97350
ISSN: 0031-5125 (Print)
1558-688X (Online)
DOI: 10.1177/0031512519899751
Rights: openAccess
Appears in Collections:FCDEF - Artigos em Revistas Internacionais

Files in This Item:
File Description SizeFormat
0031512519899751.pdf538.32 kBAdobe PDFView/Open
Show full item record

SCOPUSTM   
Citations

6
checked on Oct 14, 2024

WEB OF SCIENCETM
Citations

4
checked on Oct 2, 2024

Page view(s)

140
checked on Nov 6, 2024

Download(s)

234
checked on Nov 6, 2024

Google ScholarTM

Check

Altmetric

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.