Group goal setting and group performance in a physical activity context

2010 ◽  
Vol 8 (3) ◽  
pp. 245-261 ◽  
Author(s):  
Shauna M. Burke ◽  
Kim M. ShapcOtt ◽  
Albert V. Carron ◽  
Michael H. Bradshaw ◽  
Paul A. Estabrooks
2021 ◽  
pp. 1-11
Author(s):  
Chengzheng Li ◽  
Ying Peng ◽  
Peng Peng ◽  
Lei Cao

Investigating the factors influencing the performance of social conditioning in the network environment is the core issue for improving academic performance. Through the search of existing literature, the paper analyzes the main factors that influence social conditioning learning in current research, and through the questionnaire survey and in-depth processing of the raw data, the advanced behavioral indicators related to learning are obtained and analyzed by Spearman correlation coefficient and fuzzy modeling in machine learning. The results showed that the twelve dimensions of motivation regulation, trust building, efficacy management, cognitive strategy, time management, goal setting, task strategy, peer support, team assessment, help seeking, environment construction, and team supervision were significantly related to group performance, with team supervision having a significant negative relationship with group performance. In addition, trust building, team supervision and environment construction were the main factors for online social learning, effectiveness management, task strategy, peer support and help-seeking were the secondary factors, while motivation regulation, cognitive strategies, goal setting and team assessment had little impact on the final performance. The findings have some implications for the optimization of social conditioning learning support services and the improvement of social conditioning learning performance.


1988 ◽  
Vol 10 (4) ◽  
pp. 408-417 ◽  
Author(s):  
John M. Giannini ◽  
Robert S. Weinberg ◽  
Allen J. Jackson

This study investigated the effects of different goal and feedback conditions on performance of a basketball shooting task and a more complex one-on-one offensive basketball task. Subjects (N= 1(D) were matched, based on pretest performance, into one of five conditions: competitive goal, cooperative goal, mastery goal, "do your best" with feedback, and "do your best" without feedback. Subjects also responded to questionnaires to allow an assessment of the strength of mastery, competitive, and social goal orientations, which reflected personal achievement goals held before goal-setting instructions were offered. Results indicated that the competitive goal group performed significantly better than the do-your-best-without-feedback group in one-on-one posttest trials. No other between-group performance differences were significant. Subjects' goal orientations were not related to performance in the competitive and cooperative goal conditions, but significant relationships were found for mastery goal group subjects. The results are discussed in terms of Locke's theory of goal setting as well as achievement motivation research on goal orientations, and future directions for research are offered.


Author(s):  
Matthew Plow ◽  
Robert W Motl ◽  
Marcia Finlayson ◽  
Francois Bethoux

Abstract Background People with multiple sclerosis (MS) often experience fatigue, which is aggravated by inactivity. Identifying mediators of changes in physical activity (PA) and fatigue self-management (FSM) behaviors could optimize future interventions that reduce the impact of MS fatigue. Purpose To examine the effects of telephone-delivered interventions on Social Cognitive Theory constructs and test whether these constructs mediated secondary outcomes of PA and FSM behaviors. Methods Participants with MS (n = 208; Mean age = 52.1; Female = 84.6%) were randomized into contact–control intervention (CC), PA-only intervention, and PA+FSM intervention. Step count (Actigraphy) and FSM behaviors as well as self-efficacy, outcome expectations, and goal setting for PA and FSM were measured at baseline, post-test (12 weeks), and follow-up (24 weeks). Path analyses using bias-corrected bootstrapped 95% confidence intervals (CI) determined whether constructs at post-test mediated behaviors at follow-up when adjusting for baseline measures. Results Path analysis indicated that PA-only (β = 0.50, p < .001) and PA+FSM interventions (β = 0.42, p < .010) had an effect on goal setting for PA, and that PA + FSM intervention had an effect on self-efficacy for FSM (β = 0.48, p = .011) and outcome expectations for FSM (β = 0.42, p = .029). Goal setting for PA at post-test mediated the effects of PA-only (β = 159.45, CI = 5.399, 371.996) and PA + FSM interventions (β = 133.17, CI = 3.104, 355.349) on step count at follow-up. Outcome expectations for FSM at post-test mediated the effects of PA + FSM intervention on FSM behaviors at follow-up (β = 0.02, CI = 0.001, 0.058). Conclusions Goal setting for PA and outcome expectations for FSM may be important constructs to target in telephone-delivered interventions designed to reduce the impact of MS fatigue. Trial registration Clinicaltrials.gov (NCT01572714)


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