The question of how perfectionism affects performance is highly debated. Because empirical studies examining perfectionism and competitive sport performance are missing, the present research investigated how perfectionism affected race performance and what role athletes’ goals played in this relationship in two prospective studies with competitive triathletes (Study 1: N = 112; Study 2: N = 321). Regression analyses showed that perfectionistic personal standards, high performance-approach goals, low performance-avoidance goals, and high personal goals predicted race performance beyond athletes’ performance level. Moreover, the contrast between performance-avoidance and performance-approach goals mediated the relationship between perfectionistic personal standards and performance, whereas personal goal setting mediated the relationship between performance-approach goals and performance. The findings indicate that perfectionistic personal standards do not undermine competitive performance, but are associated with goals that help athletes achieve their best possible performance.
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Predicting Race Performance in Triathlon: The Role of Perfectionism, Achievement Goals, and Personal Goal Setting
Joachim Stoeber, Mark A. Uphill, and Sarah Hotham
Patterns of Change in Psychological Variables Leading up to Competition in Superior Versus Inferior Performers
Ruth Boat and Ian M. Taylor
The study explored patterns of change in a number of potentially performance-related variables (i.e., fatigue, social support, self-efficacy, autonomous motivation, mental skills) during the lead-up to a competitive triathlon, and whether these patterns of change differed for relatively superior versus inferior performers. Forty-two triathletes completed an inventory measuring the study variables every other day during a 2-week period leading up to competition. Performance was assessed using participants’ race time, and using a self-referenced relative score compared with personal best times. Multilevel growth curve analyses revealed significant differences in growth trajectories over the 2-week period in mental skills use, social support, and fatigue. The results provide novel insight into how athletes’ fluctuating psychological state in the 2 weeks before competition may be crucial in determining performance.
Perfectionistic Profiles Among Elite Athletes and Differences in Their Motivational Orientations
Daniel F. Gucciardi, John Mahoney, Geoffrey Jalleh, Robert J. Donovan, and Jarred Parkes
Although there is an emerging body of research that has examined perfectionistic clusters in the general population, few studies have explored such profiles in athlete samples. The purposes of this research were to explore perfectionistic profiles within a sample of elite athletes and the differences between them on key motivational variables. A sample of 423 elite athletes (179 males, 244 females) aged between 14 and 66 years (M = 25.64; SD = 8.57) from a variety of team (e.g., rowing, hockey, baseball, rugby) and individual sports (e.g., cycling, athletics, triathlon, gymnastics) completed a multisection questionnaire including measures of sport perfectionism, motivation regulation, achievement goals, and fear of failure. Cluster analyses revealed the existence of three perfectionism profiles, namely, nonperfectionists, maladaptive perfectionists, and adaptive perfectionists. Subsequent analyses generally supported the robustness of these perfectionism profiles in terms of differential motivational orientations (achievement goals, fear of failure, and motivation regulation) in hypothesized directions. Overall, the differences in motivational orientations between the three clusters supported a categorical conceptualization of perfectionism.
The Adult-Oriented Sport Coaching Survey: An Instrument Designed to Assess Coaching Behaviors Tailored to Adult Athletes
Scott Rathwell, Bradley W. Young, Bettina Callary, Derrik Motz, Matt D. Hoffmann, and Chelsea Currie
coaches; two canoe/kayak coaches; and one coach each from racewalking, judo, triathlon, rowing, and alpine ski) and worked with MAs of varying ages. Specifically, the coaches estimated that their MAs ranged from 40 to 70 years of age ( M age = 50.17, SD = 9.08). Coaches were provided with an electronic
Development and Validation of the Diet-Related Beliefs of Exercisers Scale
Simone Dohle, Mitch J. Duncan, and Tamara Bucher
.44; range 19–73), and 53.7% ( n = 204) of the participants were female. The average BMI was M = 23.70 ( SD = 3.30). The majority of the participants were Australian citizens (89.7%). Participants reported that they frequently engaged in cycling/bike riding (33.4%), running/jogging (32.6%), and triathlon