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验证 11 项修订后的加利福尼亚大学洛杉矶分校孤独量表用于评估老年人的孤独感:对因子结构和其他测量特性的评估。

Validating the 11-Item Revised University of California Los Angeles Scale to Assess Loneliness Among Older Adults: An Evaluation of Factor Structure and Other Measurement Properties.

机构信息

School of Social Work, University of Maryland, Baltimore, MD.

School of Social Work, University of Maryland, Baltimore, MD.

出版信息

Am J Geriatr Psychiatry. 2017 Nov;25(11):1173-1183. doi: 10.1016/j.jagp.2017.06.004. Epub 2017 Jun 29.

Abstract

OBJECTIVE

To examine the measurement properties and factor structure of the short version of the Revised University of California Los Angeles (R-UCLA) loneliness scale from the Health and Retirement Study (HRS).

METHODS

Based on data from 3,706 HRS participants aged 65 + who completed the 2012 wave of the HRS and its Psychosocial Supplement, the measurement properties and factorability of the R-UCLA were examined by conducting an exploratory factor analysis (EFA) and the confirmatory factor analysis (CFA) on randomly split halves.

RESULTS

The average score for the 11-item loneliness scale was 16.4 (standard deviation: 4.5). An evaluation of the internal consistency produced a Cronbach's α of 0.87. Results from the EFA showed that two- and three-factor models were appropriate. However, based on the results of the CFA, only a two-factor model was determined to be suitable because there was a very high correlation between two factors identified in the three-factor model, available social connections and sense of belonging.

CONCLUSION

This study provides important data on the properties of the 11-item R-UCLA scale by identifying a two-factor model of loneliness: feeling isolated and available social connections. Our findings suggest the 11-item R-UCLA has good factorability and internal reliability.

摘要

目的

检验健康与退休研究(HRS)中加州大学洛杉矶分校修订版(R-UCLA)孤独量表短版的测量特性和因子结构。

方法

基于完成 HRS 及其心理社会补充调查 2012 年调查的 3706 名 65 岁及以上 HRS 参与者的数据,通过对随机分组进行探索性因子分析(EFA)和验证性因子分析(CFA),检验 R-UCLA 的测量特性和可因子化。

结果

孤独量表的 11 项平均得分为 16.4(标准差:4.5)。内部一致性评估产生的克朗巴赫的 α 为 0.87。EFA 的结果表明,两因素和三因素模型是合适的。然而,基于 CFA 的结果,仅确定两因素模型是合适的,因为在三因素模型中确定的两个因素之间存在非常高的相关性,即孤立感和可用的社会联系。

结论

本研究通过确定孤独的两因素模型(孤立感和可用的社会联系),为 11 项 R-UCLA 量表的特性提供了重要数据。我们的研究结果表明,11 项 R-UCLA 具有良好的可因子化和内部可靠性。

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