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使用两种自我效能形式预测运动发起者的意图和行为。

Predicting the intentions and behavior of exercise initiates using two forms of self-efficacy.

作者信息

DuCharme K A, Brawley L R

机构信息

Department of Physical Education, Wilfrid Laurier University, Waterloo, Ontario, Canada.

出版信息

J Behav Med. 1995 Oct;18(5):479-97. doi: 10.1007/BF01904775.

Abstract

The general objective of the study was to examine the influence of various aspects of self-efficacy on the exercise attendance of novice exercisers. This objective had three distinct features. First, self-efficacy was operationalized as both perceptions to overcome barriers and appraisals of ability to schedule regular exercise sessions. Second, a more unstructured, less regimented, form of exercise that required greater personal control was examined-the forms of activity chosen and self-regulated by novice participants. Third, individuals in the initiation stage of their exercise history were studied. Results indicated that both forms of efficacy (barrier and scheduling) significantly predicted behavioral intention (BI) throughout the exercise program (R2 changes = .13-.26, p's < .02). BI was found to be the best predictor of the first 2 months of attendance (R2 change = .12, p < .05), while scheduling efficacy and past behavior best predicted attendance during the last 2 months (R2 change = .16 and .24, p < .02 and p < .001, respectively). A model combining both social cognitive variables (efficacy beliefs) and behavioral variables (past attendance) captured more variation in predicting the last 2 months of attendance than a model involving only social-cognitive variables.

摘要

该研究的总体目标是考察自我效能感的各个方面对新手锻炼者锻炼出勤率的影响。这一目标具有三个显著特征。首先,自我效能感被操作化为克服障碍的认知以及安排定期锻炼课程的能力评估。其次,研究了一种更无组织、更不严格、需要更大个人控制力的锻炼形式——新手参与者选择并自我调节的活动形式。第三,对处于锻炼历程起始阶段的个体进行了研究。结果表明,在整个锻炼计划中,两种效能形式(克服障碍和安排计划)均能显著预测行为意向(BI)(R2变化 = 0.13 - 0.26,p值 < 0.02)。研究发现,行为意向是前两个月出勤率的最佳预测指标(R2变化 = 0.12,p < 0.05),而安排计划的效能和过去的行为则是最后两个月出勤率的最佳预测指标(R2变化分别为0.16和0.24,p < 0.02和p < 0.001)。与仅涉及社会认知变量的模型相比,一个结合了社会认知变量(效能信念)和行为变量(过去的出勤率)的模型在预测最后两个月的出勤率时能够解释更多的变异。

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