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基于理论和因子分析对加拿大身体素养评估进行优化。

Refining the Canadian Assessment of Physical Literacy based on theory and factor analyses.

机构信息

Healthy Active Living and Obesity Research Group, Children's Hospital of Eastern Ontario Research Institute, Ottawa, ON, K1H 8L1, Canada.

Department of Psychology, Carleton University, 550 Loeb Building, 1125 Colonel By Drive, Ottawa, ON, K1S 5B6, Canada.

出版信息

BMC Public Health. 2018 Oct 2;18(Suppl 2):1044. doi: 10.1186/s12889-018-5899-2.

Abstract

BACKGROUND

The Canadian Assessment of Physical Literacy (CAPL) is a 25-indicator assessment tool comprising four domains of physical literacy: (1) Physical Competence, (2) Daily Behaviour, (3) Motivation and Confidence, and (4) Knowledge and Understanding. The purpose of this study was to re-examine the factor structure of CAPL scores and the relative weight of each domain for an overall physical literacy factor. Our goal was to maximize content representation, and reduce construct irrelevant variance and participant burden, to inform the development of CAPL-2 (a revised, shorter, and theoretically stronger version of CAPL).

METHODS

Canadian children (n = 10,034; M = 10.6, SD = 1.2; 50.1% girls) completed CAPL testing at one time point. Confirmatory factor analysis was used.

RESULTS

Based on weak factor loadings (λs < 0.32) and conceptual alignment, we removed body mass index, waist circumference, sit-and-reach flexibility, and grip strength as indicators of Physical Competence. Based on the factor loading (λ < 0.35) and conceptual alignment, we removed screen time as an indicator of Daily Behaviour. To reduce redundancy, we removed children's activity compared to other children as an indicator of Motivation and Confidence. Based on low factor loadings (λs < 0.35) and conceptual alignment, we removed knowledge of screen time guidelines, what it means to be healthy, how to improve fitness, activity preferences, and physical activity safety gear indicators from the Knowledge and Understanding domain. The final refined CAPL model was comprised of 14 indicators, and the four-factor correlated model fit the data well (r ranged from 0.08 to 0.76), albeit with an unexpected cross-loading from Daily Behaviour to knowledge of physical activity guidelines (mean- and variance-adjusted weighted least square [WLSMV] χ = 1221.29, p < 0.001, Comparative Fit Index [CFI] = 0.947, root mean square error of approximation [RMSEA] = 0.041[0.039, 0.043]). Finally, our higher-order model with Physical Literacy as a factor with indicators of Physical Competence (λ = 0.68), Daily Behaviour (λ = 0.91), Motivation and Confidence (λ = 0.80), and Knowledge and Understanding (λ = 0.21) fit the data well.

CONCLUSIONS

The scores from the revised and much shorter 14-indicator model of CAPL can be used to assess the four correlated domains of physical literacy and/or a higher-order aggregate physical literacy factor. The results of this investigation will inform the development of CAPL-2.

摘要

背景

加拿大体育素养评估(CAPL)是一个包含 25 个指标的评估工具,包括体育素养的四个领域:(1)身体能力,(2)日常行为,(3)动机和信心,以及(4)知识和理解。本研究的目的是重新检验 CAPL 分数的因子结构和每个领域对整体体育素养因子的相对权重。我们的目标是最大限度地提高内容代表性,减少与结构无关的方差和参与者负担,为 CAPL-2 的发展提供信息(CAPL 的修订版、更短版和理论更强版)。

方法

加拿大儿童(n=10034;M=10.6,SD=1.2;50.1%为女孩)一次性完成 CAPL 测试。采用验证性因子分析。

结果

基于较弱的因子负荷(λs<0.32)和概念一致性,我们将身体质量指数、腰围、坐立前伸柔韧性和握力从身体能力指标中删除。基于因子负荷(λ<0.35)和概念一致性,我们将屏幕时间作为日常行为指标删除。为了减少冗余,我们将儿童与其他儿童相比的活动作为动机和信心的指标删除。基于较低的因子负荷(λs<0.35)和概念一致性,我们从知识和理解领域中删除了有关屏幕时间指南、健康含义、如何提高健康水平、活动偏好和体育活动安全装备的知识的指标。最终,经过精炼的 CAPL 模型由 14 个指标组成,四因素相关模型很好地拟合了数据(r 范围为 0.08 至 0.76),尽管日常行为与体育活动指南知识的交叉负荷出乎意料(平均和方差调整加权最小二乘法[WLSMV]χ=1221.29,p<0.001,比较拟合指数[CFI]=0.947,根均方误差近似值[RMSEA]=0.041[0.039,0.043])。最后,我们的高阶模型将体育素养作为一个包含身体能力(λ=0.68)、日常行为(λ=0.91)、动机和信心(λ=0.80)以及知识和理解(λ=0.21)指标的因素,很好地拟合了数据。

结论

经过修订的、更短的 14 项 CAPL 指标模型的分数可用于评估体育素养的四个相关领域和/或更高阶的综合体育素养因素。本研究的结果将为 CAPL-2 的发展提供信息。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1ffc/6167769/c815b4ddb568/12889_2018_5899_Fig1_HTML.jpg

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