Previous research documented that “extremely high prioritization” strategies that involved allocation of all resources for time or energy on pursuing goals related to leisure-time physical activity and none of available resources on competing behavioral goals were optimal in terms of yielding highest levels of participation in physical activities. This study examined whether a “marginally higher prioritization” strategy that involved an intention to invest large but slightly more resources on physical activity than competing behaviors was optimal. In addition, we examined whether linear and quadratic models supported different conclusions about optimal prioritizations strategies. Response surface analyses of a quadratic model revealed that marginally higher prioritization was the most effective strategy. In addition, a linear regression model led us to incorrectly reject a “simultaneous goal pursuit” strategy in favor of an extremely high prioritization strategy. Findings suggest that prioritization strategies that “garner” low opportunity costs are the most optimal.
Nikos L. D. Chatzisarantis, Vassilis Barkoukis, Panagiotis Petridis, Cecilie Thøgersen-Ntoumani, Nikos Ntoumanis, Sandra Gountas, John Gountas, Dimitrios Adam and Martin S. Hagger
Derwin K. C. Chan, Vanessa Lentillon-Kaestner, James A. Dimmock, Robert J. Donovan, David A. Keatley, Sarah J. Hardcastle and Martin S. Hagger
We applied the strength-energy model of self-control to understand the relationship between self-control and young athletes’ behavioral responses to taking illegal performance-enhancing substances, or “doping.” Measures of trait self-control, attitude and intention toward doping, intention toward, and adherence to, doping-avoidant behaviors, and the prevention of unintended doping behaviors were administered to 410 young Australian athletes. Participants also completed a “lollipop” decision-making protocol that simulated avoidance of unintended doping. Hierarchical linear multiple regression analyses revealed that self-control was negatively associated with doping attitude and intention, and positively associated with the intention and adherence to doping-avoidant behaviors, and refusal to take or eat the unfamiliar candy offered in the “lollipop” protocol. Consistent with the strength-energy model, athletes with low self-control were more likely to have heightened attitude and intention toward doping, and reduced intention, behavioral adherence, and awareness of doping avoidance.
Martin S. Hagger, Nikos L.D. Chatzisarantis, Vassilis Barkoukis, John C.K. Wang, Vello Hein, Maret Pihu, Istvan Soós and Istvan Karsai
The present study tested the cross-cultural generalizability of the measurement and structural parameters of the theory of planned behavior (TPB) among youth in a physical activity context. Pupils from five cultural groups completed measures of attitudes, subjective norms, perceived behavioral control (PBC), and intentions for physical activity. Five weeks later, participants completed self-report measures of physical activity behavior. Confirmatory factor analyses and multisample structural equation models revealed well-fitting models within each sample with minimal variations in the measurement parameters across cultures. There were a few significant cross-cultural differences in the structural relations among the TPB constructs. Attitudes predicted intentions in all samples (β range = .300 to .550), whereas the effect of the subjective norms on intention was nonsignificant in all but the Hungarian sample (β = .243). Conversely, the effect of PBC on intentions was significant (β range = .302 to .573) in all but the Hungarian sample. Findings support the generalizability of the measures and pattern of effects for the TPB among young people in a physical activity context.