To Act or Not to Act?: Student-Athlete Perceptions of Social Justice Activism

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Bibliographic Details
Title: To Act or Not to Act?: Student-Athlete Perceptions of Social Justice Activism
Authors: Mac Intosh, Andrew, Martin, Eric M., Kluch, Yannick
Source: Kinesiology Faculty Publications and Presentations
Publisher Information: ScholarWorks
Publication Year: 2020
Collection: Boise State University: Scholar Works
Subject Terms: Kinesiology
Description: Issues related to social justice and activism have always permeated sports, but recently, due to the high profile cases of several elite-level athletes (i.e., Colin Kaepernick, Megan Rapinoe), these issues have become much more prominent in the contemporary sporting climate. Even though these highly visible actions are publicized in today’s media environment, little is known about how collegiate student-athletes perceive engaging in social justice activism. Therefore, the current study surveyed 2,092 collegiate student-athletes on their attitudes toward activism engagement using a theory of planned behavior framework with particular attention paid to how gender and ethnicity/race influenced these relationships. A series of MANOVAs indicated that female student-athletes, in relation to male student athletes, and student-athletes of color, in comparison to White student-athletes, held higher perceptions on most of the subscales related to activism. A hierarchical multiple regression analysis indicated attitudes, perceived behavioral control, and subjective norms were significant predictors of athletes’ intention to engage in activism. In addition, interactions of the three predictors with race and gender influenced the final regression model indicating the strength of each predictor was impacted by athlete race and gender. Future research directions and implications for programming in relation to study findings are discussed.
Document Type: text
File Description: application/pdf
Language: unknown
Relation: https://scholarworks.boisestate.edu/kinesiology_facpubs/201; https://scholarworks.boisestate.edu/context/kinesiology_facpubs/article/1203/viewcontent/Martin__Eric__2020__To_act_or_not___MS___typeset.pdf
Availability: https://scholarworks.boisestate.edu/kinesiology_facpubs/201
https://scholarworks.boisestate.edu/context/kinesiology_facpubs/article/1203/viewcontent/Martin__Eric__2020__To_act_or_not___MS___typeset.pdf
Rights: This is an author-produced, peer-reviewed version of this article. © 2020, Elsevier. Licensed under the Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International license. The final, definitive version of this document can be found online at Psychology of Sport and Exercise , https://doi.org/10.1016/j.psychsport.2020.101766 ; http://creativecommons.org/licenses/by-nc-nd/4.0/
Accession Number: edsbas.DF8F5139
Database: BASE
Description
Abstract:Issues related to social justice and activism have always permeated sports, but recently, due to the high profile cases of several elite-level athletes (i.e., Colin Kaepernick, Megan Rapinoe), these issues have become much more prominent in the contemporary sporting climate. Even though these highly visible actions are publicized in today’s media environment, little is known about how collegiate student-athletes perceive engaging in social justice activism. Therefore, the current study surveyed 2,092 collegiate student-athletes on their attitudes toward activism engagement using a theory of planned behavior framework with particular attention paid to how gender and ethnicity/race influenced these relationships. A series of MANOVAs indicated that female student-athletes, in relation to male student athletes, and student-athletes of color, in comparison to White student-athletes, held higher perceptions on most of the subscales related to activism. A hierarchical multiple regression analysis indicated attitudes, perceived behavioral control, and subjective norms were significant predictors of athletes’ intention to engage in activism. In addition, interactions of the three predictors with race and gender influenced the final regression model indicating the strength of each predictor was impacted by athlete race and gender. Future research directions and implications for programming in relation to study findings are discussed.