2019
DOI: 10.1016/j.peh.2018.12.001
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An alternative approach to understanding doping behavior: A pilot study applying the Q-method to doping research

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Cited by 6 publications
(7 citation statements)
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“…This is also in line with the meta-analysis on personal and psychosocial predictors of doping use by Ntoumanis et al (2014). This outcome points to the same direction as the results from a Q-sort study (Gatterer et al, 2019), where internal factors such as attitudes (9/10 items used form PEAS), goal orientation and sportspersonship together were weaker predictors of doping behavior compared to external factors. One possible explanation for this is that reasons and not global motives (attitudes, social norms) impact behavior intention and actual behavior (Westaby, 2005;Petróczi et al, 2017) Reasons, operationally defined as "subjective factors people use to explain their anticipated behavior" (Westaby, 2005 p100), are important ingredient of decision making.…”
Section: Relationship Between Admitted Doping Use and Peassupporting
confidence: 86%
“…This is also in line with the meta-analysis on personal and psychosocial predictors of doping use by Ntoumanis et al (2014). This outcome points to the same direction as the results from a Q-sort study (Gatterer et al, 2019), where internal factors such as attitudes (9/10 items used form PEAS), goal orientation and sportspersonship together were weaker predictors of doping behavior compared to external factors. One possible explanation for this is that reasons and not global motives (attitudes, social norms) impact behavior intention and actual behavior (Westaby, 2005;Petróczi et al, 2017) Reasons, operationally defined as "subjective factors people use to explain their anticipated behavior" (Westaby, 2005 p100), are important ingredient of decision making.…”
Section: Relationship Between Admitted Doping Use and Peassupporting
confidence: 86%
“…Those five experts (present in Hall in Tyrol in 2017) continued to be involved throughout 2019, and four of these experts (co-authors of this paper) participated in the last expert meeting in 2020 (for details, refer to Figure 3 ). Regarding motives to dope or not dope, the expert panel agreed (based on scientific evidence) that athletes are likely to dope for functional reasons (i.e., coping with specific pressures), whereas motives not to dope are value-based (social, cultural, attitude, and norms; Gatterer et al, 2019 ). As it cannot be assumed that most athletes dope (especially at the age of 14–19 years), both motives to dope and refrain therefrom should be considered, even though they are not explicitly distinguished within GRADE IT.…”
Section: Results Of Phase One—tool Development and Testingmentioning
confidence: 99%
“…From the perspective of content, research suggests that variables identified as risk factors (Ntoumanis et al, 2014 ; Blank et al, 2016 ) are in fact a mixture of risk factors for doping (Petróczi et al, 2017 ; Gatterer et al, 2019 ) and protective factors against doping (Overbye et al, 2013 ; Erickson et al, 2015 ; Englar-Carlson et al, 2016 ). This is problematic, as it has been argued that reasons to dope (risk factors) and reasons not to dope (protective factors) pertain to two distinct goals and thus cannot be considered as the opposite of each other (Overbye et al, 2013 ; Petróczi et al, 2017 , 2021a ; Gatterer et al, 2019 ). This problem was also highlighted by a recent synthesis of qualitative research on barriers to, and factors promoting, clean sport (Williams et al, 2021 ).…”
Section: Introductionmentioning
confidence: 99%
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“…The results from subsequent studies are hard to synthesize. Reasons identified as deterrence for doping were generally linked to personal factors such as (moral) attitudes, goal orientation, sportspersonship, identity outside sport, self-control, resilience to social group pressures and religion (e.g., Erickson et al, 2014;Gatterer et al, 2019;Zvan et al, 2017).…”
Section: Clean Is a Value That Protects Against Dopingmentioning
confidence: 99%