본문 바로가기
  • Home

An Analysis Study on the Doping Intentions of Athletes using Stepwise Regression Analysis

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2023, 28(5), pp.171-177
  • DOI : 10.9708/jksci.2023.28.05.171
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science
  • Received : April 20, 2023
  • Accepted : May 10, 2023
  • Published : May 31, 2023

Youn-Suk Han 1 PARK JONG HWA 1

1단국대학교

Accredited

ABSTRACT

This study aims to provide useful information for prevention of doping by investigating and verifying relationships among demographic factors such as athletic career and experience of anti-doping education, controlled motivation, attitude toward anti-doping, perceived behavioral control factors and doping intentions to verify factors affecting doping intentions of domestic elite athletes based on the advance studies that have been carried out various theoretical approaches so far. Method: This study analyzed using SPSS 27.0 program. First, this study confirmed a multicollinearity problem by conducting Pearson’s correlation analysis to examine correlation between variables. And this study conducted stepwise multiple linear regression to confirm how the variables affect doping intentions. Result: Study results show that all factors such as athletic career, experience of anti-doping education, controlled motivation, attitude toward anti-doping and perceived behavioral control have a significant impact on doping intentions, and this study verified significant impact by putting variables in order of each influence. As a result of verification, this study confirmed that controlled motivation has the greatest influence, and perceived behavioral control toward doping, experience of anti-doping education, attitude toward and athletic career came next in order.

Citation status

* References for papers published after 2022 are currently being built.