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Examining the Factors Affecting the Aggression Levels of Football Fans

Bedir, Deniz; Karakaya, Rumeysa; Savas, Zeynep; Binici, Yagmur Tuba


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  <dc:creator>Bedir, Deniz</dc:creator>
  <dc:creator>Karakaya, Rumeysa</dc:creator>
  <dc:creator>Savas, Zeynep</dc:creator>
  <dc:creator>Binici, Yagmur Tuba</dc:creator>
  <dc:date>2022-08-28</dc:date>
  <dc:description>Fan aggression is a societal problem that affects many sports clubs worldwide. It should be handled in all dimensions to prevent individual and social aggression in sports environments. The study aims to examine the factors affecting the aggression levels of football fans. The study sample consisted of 909 people, 474 males, and 435 females. In addition to the personal information form, the "Buss-Perry Aggression Questionnaire" and "Football Fanaticism Scale" were used as data collection tools. Pearson Product Moment Correlation Analysis was used to determine the relationships between variables, and Multiple Linear Regression Analysis was used to examine the predictive power of independent variables on aggression. The results show that aggression predicts fanaticism positively, team identity, age, and education level negatively. As a result, it can be said that fanaticism, team identity, age, education level, and gender are the main predictors of aggression (40%).</dc:description>
  <dc:identifier>https://aperta.ulakbim.gov.trrecord/229523</dc:identifier>
  <dc:identifier>10.48623/aperta.229523</dc:identifier>
  <dc:identifier>oai:aperta.ulakbim.gov.tr:229523</dc:identifier>
  <dc:language>eng</dc:language>
  <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by-nc-sa/4.0/</dc:rights>
  <dc:subject>social problem</dc:subject>
  <dc:subject>sports clubs</dc:subject>
  <dc:subject>supporter</dc:subject>
  <dc:subject>violence</dc:subject>
  <dc:subject>provocative</dc:subject>
  <dc:title>Examining the Factors Affecting the Aggression Levels of Football Fans</dc:title>
  <dc:type>info:eu-repo/semantics/other</dc:type>
  <dc:type>dataset</dc:type>
</oai_dc:dc>
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