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参与量表简表的编制与结构验证。

Development and structural validation of a shortened version of the Participation Scale.

机构信息

Athena Institute for Research on Innovation and Communication in Health and Life Sciences, Faculty of Earth and Life Sciences, VU University Amsterdam, the Netherlands.

出版信息

Disabil Rehabil. 2012;34(19):1596-607. doi: 10.3109/09638288.2012.656793. Epub 2012 Feb 29.

Abstract

PURPOSE

To validate a shortened version of the Participation Scale (P-scale) that will be quicker to use and to describe the factor structure found in the P-scale data in various study samples.

METHODS

A large multi-country and multi-cultural database was compiled consisting of 5125 respondents. Item analysis, explanatory factor analysis and confirmatory factor analysis were applied to identify items for deletion and investigate the factor structure of the P-scale.

RESULTS

The multi-country database included 11 databases from six different countries. Respondents were affected by a range of health conditions, including leprosy, HIV/AIDS, dermatological conditions and various disabilities. Of the respondents included 57% were male. The P-scale Short (PSS) contains 13 items. A two-factor structure, with factors named "work-related participation" (three items) and "general participation" (10 items), showed the best model fit (Comparative Fit Index = 0.983, Tucker Lewis Index = 0.979, Rooted Mean Square Error of Approximation = 0.061). The Cronbach's alphas were very good for both the whole scale and the subscales, 0.91, 0.83 and 0.90, respectively. Correlation between the two factors was high (r = 0.75) indicating that interpreting the P-scale as measuring an overall factor "participation" is still valid. A very high correlation (r = 0.99) was found between the full P-scale and the PSS.

CONCLUSIONS

The findings suggest good validity of the P-scale across a range of languages and cultures. However, field testing needs to confirm the validity of the PSS to measure the level of social participation restrictions across cultures and health conditions.

摘要

目的

验证参与量表(P-scale)的简化版本,该版本使用起来更为快捷,并描述在各种研究样本中 P-scale 数据的因子结构。

方法

编制了一个包含 5125 名受访者的大型多国家和多文化数据库。应用项目分析、解释性因素分析和验证性因素分析来确定删除项目,并研究 P-scale 的因子结构。

结果

多国家数据库包括来自六个不同国家的 11 个数据库。受访者受到各种健康状况的影响,包括麻风病、艾滋病、皮肤病和各种残疾。包括的受访者中,57%为男性。P-scale 短版(PSS)包含 13 个项目。具有“与工作相关的参与”(三个项目)和“一般参与”(十个项目)两个因子的结构显示出最佳的模型拟合度(比较拟合指数=0.983,塔克-刘易斯指数=0.979,根植均方误差近似值=0.061)。整个量表和子量表的克朗巴赫α系数都非常好,分别为 0.91、0.83 和 0.90。两个因子之间的相关性很高(r=0.75),表明将 P-scale 解释为测量一个总体因素“参与”仍然是有效的。全 P-scale 与 PSS 之间存在非常高的相关性(r=0.99)。

结论

研究结果表明,P-scale 在多种语言和文化中具有良好的有效性。然而,需要进行现场测试来确认 PSS 测量跨文化和健康状况下社会参与限制的有效性。

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