Steinhardt M A, Young D R
Department of Kinesiology and Health Education, University of Texas, Austin.
Behav Med. 1992 Spring;18(1):40-6. doi: 10.1080/08964289.1992.10544240.
This study examined differences in psychological attributes (eg, estimation of physical ability, attraction to physical activity, self-motivation, and attitudinal commitment to physical activity) among 646 participants and nonparticipants in an onsite health and fitness program. An analysis of the data, using stepwise multiple regression and controlling for age and sex, revealed that the psychological attributes significantly predicted group membership (R2 = .27). Increased participation was related to higher levels of attitudinal commitment (beta = .48) and self-motivation (beta = .16). Increased participation, however, was inversely related to estimation of physical ability (beta = -.17). Results of the stepwise multiple discriminant analysis showed that nonparticipants and high active participants could be classified using the predetermined variables with an accuracy of 32.7% and 40.1% gain above base rate, respectively. Low active and moderately active participants were classified at a rate only equal to chance. The authors discuss implications for programming strategies to increase participation in onsite programs.
本研究调查了646名参与和未参与现场健康与健身项目的人员在心理属性（如身体能力评估、对体育活动的吸引力、自我激励以及对体育活动的态度承诺）方面的差异。使用逐步多元回归并控制年龄和性别对数据进行分析后发现，这些心理属性能够显著预测分组情况（R2 = 0.27）。参与度的提高与更高水平的态度承诺（β = 0.48）和自我激励（β = 0.16）相关。然而，参与度的提高与身体能力评估呈负相关（β = -0.17）。逐步多元判别分析结果表明，使用预先确定的变量可以分别以32.7%的准确率和高于基础比率40.1%的增益对未参与者和高活跃度参与者进行分类。低活跃度和中等活跃度参与者的分类准确率仅与随机水平相当。作者讨论了增加现场项目参与度的规划策略的意义。
