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公众健康监测幸福感量表的编制及心理测量学评价。

Development and psychometric evaluation of the public health surveillance well-being scale.

机构信息

RTI International, 3040 Cornwallis Road, P.O. Box 12194, Research Triangle Park, NC 27709-2194, USA.

出版信息

Qual Life Res. 2012 Aug;21(6):1031-43. doi: 10.1007/s11136-011-0002-9. Epub 2011 Sep 23.

DOI:10.1007/s11136-011-0002-9
PMID:21947657
Abstract

PURPOSE

To develop and psychometrically evaluate the brief Public Health Surveillance Well-Being Scale (PHS-WB) that captures mental, physical, and social components of well-being.

METHODS

Using data from 5,399 HealthStyles survey respondents, we conducted bi-factor, item response theory, and differential item functioning analyses to examine the psychometric properties of a pool of 34 well-being items. Based on the statistical results and content considerations, we developed a brief 10-item well-being scale and assessed its construct validity through comparisons of demographic subgroups and correlations with measures of related constructs.

RESULTS

Based on the bi-factor analyses, the items grouped into both an overall factor and individual domain-specific factors. The PHS-WB scale demonstrated good internal consistency (alpha = 0.87) and correlated highly with scores for the entire item pool (r = 0.94). The well-being scale scores differed as expected across demographic groups and correlated with global and domain-specific measures of similar constructs, supporting its construct validity.

CONCLUSION

The 10-item PHS-WB scale demonstrates good psychometric properties, and its high correlation with the item pool suggests minimal loss of information with the use of fewer items. The brief PHS-WB allows for well-being assessment on national surveys or in other situations where a longer form may not be feasible.

摘要

目的

开发并对简要公共卫生监测幸福感量表(PHS-WB)进行心理计量学评估,该量表可捕捉幸福感的心理、身体和社会组成部分。

方法

使用来自 5399 名 HealthStyles 调查受访者的数据,我们进行了双因素、项目反应理论和差异项目功能分析,以检验一组 34 项幸福感项目的心理计量学特性。根据统计结果和内容考虑,我们开发了一个简短的 10 项幸福感量表,并通过比较人口统计学亚组和与相关构念测量的相关性来评估其构建效度。

结果

基于双因素分析,这些项目分为总体因素和个体领域特定因素。PHS-WB 量表表现出良好的内部一致性(α=0.87),与整个项目池的得分高度相关(r=0.94)。幸福感量表的得分在预期的人口统计学群体中存在差异,并与类似构念的全球和特定领域的测量相关,支持其构建效度。

结论

10 项 PHS-WB 量表具有良好的心理计量学特性,与项目池的高度相关性表明使用较少项目不会导致信息大量丢失。简短的 PHS-WB 允许在全国性调查或其他可能不适合使用较长问卷的情况下进行幸福感评估。

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