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评估心理健康:NIH 工具包的自评量表。

Assessing psychological well-being: self-report instruments for the NIH Toolbox.

机构信息

Department of Medical Social Sciences, Northwestern University Feinberg School of Medicine, 625 North Michigan Ave., Suite 2700, Chicago, IL, 60611, USA,

出版信息

Qual Life Res. 2014 Feb;23(1):205-15. doi: 10.1007/s11136-013-0452-3. Epub 2013 Jun 16.

DOI:10.1007/s11136-013-0452-3
PMID:23771709
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3883907/
Abstract

OBJECTIVE

Psychological well-being (PWB) has a significant relationship with physical and mental health. As a part of the NIH Toolbox for the Assessment of Neurological and Behavioral Function, we developed self-report item banks and short forms to assess PWB.

STUDY DESIGN AND SETTING

Expert feedback and literature review informed the selection of PWB concepts and the development of item pools for positive affect, life satisfaction, and meaning and purpose. Items were tested with a community-dwelling US Internet panel sample of adults aged 18 and above (N = 552). Classical and item response theory (IRT) approaches were used to evaluate unidimensionality, fit of items to the overall measure, and calibrations of those items, including differential item function (DIF).

RESULTS

IRT-calibrated item banks were produced for positive affect (34 items), life satisfaction (16 items), and meaning and purpose (18 items). Their psychometric properties were supported based on the results of factor analysis, fit statistics, and DIF evaluation. All banks measured the concepts precisely (reliability ≥0.90) for more than 98% of participants.

CONCLUSION

These adult scales and item banks for PWB provide the flexibility, efficiency, and precision necessary to promote future epidemiological, observational, and intervention research on the relationship of PWB with physical and mental health.

摘要

目的

心理健康与身心健康密切相关。作为 NIH 神经行为功能评估工具包的一部分,我们开发了自我报告项目库和简短形式来评估心理健康。

研究设计和环境

专家反馈和文献回顾为积极情绪、生活满意度以及意义和目的的心理健康概念选择和项目库的开发提供了信息。项目在一个由 18 岁及以上的美国社区居民组成的互联网小组样本中进行了测试(N=552)。经典和项目反应理论(IRT)方法用于评估单维性、项目与整体测量的拟合度以及这些项目的校准,包括差异项目功能(DIF)。

结果

为积极情绪(34 项)、生活满意度(16 项)和意义和目的(18 项)开发了 IRT 校准的项目库。基于因子分析、拟合统计和 DIF 评估的结果,支持了其心理测量学特性。所有的库都为超过 98%的参与者提供了精确的测量(可靠性≥0.90)。

结论

这些成人心理健康量表和项目库为未来心理健康与身心健康关系的流行病学、观察性和干预研究提供了必要的灵活性、效率和精确性。

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