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首页> 外文期刊>Measurement in Physical Education and Excercise Science: Official Journal of the Measurement and Evaluation Council of AAPAR >Bifactor Approach to Modeling Multidimensionality of Physical Self-Perception Profile
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Bifactor Approach to Modeling Multidimensionality of Physical Self-Perception Profile

机译：双因素方法建模的物理自我感知轮廓的多维性

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摘要

The multi-dimensionality of Physical Self-Perception Profile (PSPP) has been acknowledged by the use of correlated-factor model and second-order model. In this study, the authors critically endorse the bifactor model, as a substitute to address the multi-dimensionality of PSPP. To cross-validate the models, analyses are conducted first in exploratory structural equation modeling (ESEM) framework with a randomly selected subsample and then in confirmatory factor analysis (CFA) framework with a second subsample. Results from both ESEM and CFA analyses suggest that bifactor model is the best-fitted model. A general physical self-esteem factor and four domain specific factors are identified with the bifactor model. Coefficient omega hierarchical of the general factor is .86. The ω_s of the specific factors are .19, .20, .59, and .29, respectively. Gender difference at both general factor level and domain specific factor level is examined within the bifactor model. Discussions of the use and limitations of bifactor model as well as ESEM are provided.
机译：通过使用相关因子模型和二阶模型，人们已经认识到了物理自我感知概况（PSPP）的多维性。在这项研究中，作者批判地认可了双因素模型，作为解决PSPP多维性的替代方法。为了交叉验证模型，首先在具有随机选择子样本的探索性结构方程模型（ESEM）框架中进行分析，然后在第二个子样本的确认性因子分析（CFA）框架中进行分析。 ESEM和CFA分析的结果都表明，双因素模型是最合适的模型。使用双因素模型可以识别一般的身体自尊因素和四个领域特定因素。系数Ω分层的一般系数是0.86。特定因子的ω_s分别为.19，.20，.59和.29。在双因素模型中检查了一般因素水平和领域特定因素水平上的性别差异。提供了关于双因素模型以及ESEM的使用和局限性的讨论。

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