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以牺牲精确性为代价来创造简约性?体育活动研究中基于信念的构念聚合的概念和应用问题。

Creating parsimony at the expense of precision? Conceptual and applied issues of aggregating belief-based constructs in physical activity research.

作者信息

Rhodes Ryan E, Plotnikoff Ronald C, Spence John C

机构信息

School of Physical Education, University of Victoria, BC, Canada.

出版信息

Health Educ Res. 2004 Aug;19(4):392-405. doi: 10.1093/her/cyg043. Epub 2004 May 20.

Abstract

The aggregation of measured social cognitive beliefs to form scales is a common procedure in physical activity research. In this paper, we propose that specific beliefs may actually have unique associations with physical activity, which are obscured by the practice of aggregation. Further, we point out that beliefs may be related in a more complex manner than the theory behind scale aggregation. Both of these factors are interpreted in terms of limiting physical activity intervention efforts. Therefore, the purpose of this study was to examine alternatives to summative scales of physical activity beliefs using structural equation modeling. Demonstrations were performed using belief-based constructs of self-efficacy, pros and cons with a large Canadian random sample (N = 683) over three, 6-month time points. Results demonstrated that items of belief-based scales are multidimensional and that a correlated belief structure fit the observed data better (P < 0.05) and explained more variance in vigorous physical activity (an additional 6-7%) than aggregated scales. Finally, a causally ordered structure among beliefs was supported, suggesting that items within a scale may be linked causally rather than as indicators of a higher-order latent variable. Implications for future research and physical activity interventions are discussed.

摘要

在体育活动研究中,将测量得到的社会认知信念进行汇总以形成量表是一种常见的做法。在本文中,我们提出特定信念实际上可能与体育活动存在独特的关联,而这种关联会被汇总的做法所掩盖。此外,我们指出信念之间的关系可能比量表汇总背后的理论更为复杂。这两个因素都被解释为限制了体育活动干预的效果。因此,本研究的目的是使用结构方程模型来检验体育活动信念汇总量表的替代方法。我们以自我效能感、利弊等基于信念的构念对一个大型加拿大随机样本(N = 683)在三个为期6个月的时间点进行了实证分析。结果表明,基于信念的量表项目是多维的,并且相关信念结构比汇总量表更能拟合观测数据(P < 0.05),并能解释更多的剧烈体育活动方差(额外6 - 7%)。最后,信念之间的因果顺序结构得到了支持,这表明量表中的项目可能是因果关联的,而不是作为一个高阶潜在变量的指标。我们还讨论了对未来研究和体育活动干预的启示。

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