european college of sport science

OP-RE03 Rehabilitation 3
Method: The study was carried out as a case study with a qualitative approach. A total of 10 individual interviews were carried out (5
athletes and 5 employees (2 from Antidoping Norway (ADN), 3 from the Norwegian Ski Association). In addition a focus group was used
(consisting of 3 athletes).
Results: The meanings of the athletes vary from those who think that the whereabouts information is stressful, to those who doesn’t think
it`s stressful. All agree that there must be an efficient out-of-competition testing program, but that the technical system creates difficulties
for the athletes. The lack of harmonization is also something that worries the athletes.
Discussion: Many athletes are dissatisfied with the system because they find ADAMS too advanced. There are indications that the sensegiving
process connected to ADAMS has been executed poorly. The lack of sensegiving affects the sensemaking process within the
national team. Furthermore, there seem to be a gap between what the employees in ADN find plausible and what the athletes find
plausible. How other athletes evaluate and interpret the system influences the athlete to some extent.
References:
BACL (2008): Anti Doping and Athlete whereabouts Questionnaire, unpublished study
Hanstad, D.V., & Loland, S. (2009): Elite athletes’ duty to provide information on their whereabouts: Justifiable anti-doping work or an
indefensible surveillance regime? European Journal of Sport Science, 9(1), 3-10
GAMBLING MOTIVATIONS AND FINANCIAL RISK TAKING ATTITUDES OF SPORT GAMBLING UNIVERSITY STUDENTS
AND THEIR PERSONALITY DIFFERENCES FROM NON GAMBLERS
KARLI, Ü., AKPINAR, S., KOÇAK, M.S.
NIGDE UNIVERSITY, NIGDE, TURKEY, 1. MIDDLE EAST TECHNICAL UNIVERSITY, ANKARA, TURKEY.
Introduction and aim: Sport gambling is a developing market in sport industry and sport gamblers are the stakeholders of the market.
Analyzing sport gamblers in the scope of consumer behavior would be beneficial for creating successful marketing decisions. Therefore,
the purpose of this study was three-fold; to determine the personality and financial risk-taking attitude differences between sports gambling
students and non-gambling students, to specify gambling motivations of the sport gambling students and to identify the relationship
among personality traits, financial risk-taking attitude and gambling motivations of the students who gamble on sport events.
Method: The subject group was composed of 1109 (male 700, female 409) Middle East Technical University students who were participating
in sport gambling activities (n=435) and who had never participated in sport gambling activities (n=674). Big Five Personality Inventory
(John, Donahue, & Kentle, 1991), Investment Risk Attitude Scale (Nyhus, 1995) and Gambling Motivation Scales (Chantal, Vallerand and
Vallieres, 1994) were used in the data collection. ANOVA, MANOVA and Hierarchical Multiple Regression were conducted in statistical
analysis.
Results: Results indicated that sport gambling students and non-gambling students showed significant differences in personality, Pillai’s
Trace = .24, F(5,1101) = 70.51, p