The Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
Health Qual Life Outcomes. 2013 Jan 7;11:2. doi: 10.1186/1477-7525-11-2.
The Psychological General Well Being Index (PGWBI) is a widely used scale across many conditions. Over time issues have been raised about the dimensional structure of the scale, and it has not yet been subjected to scrutiny by modern Psychometric approaches. The current study thus evaluates the PGWBI with Rasch- and factor analysis.
Consecutive patients recruited to a tertiary stress clinic were administered the PGBWI as part of routine clinical assessment at baseline and three months. Data from the scale was subjected to Factor Analyses and to Rasch analysis. In both cases adjustments for local independence violations were allowed.
179 patients were recruited, with a mean age of 43 years, and of whom 70% were female. An initial Confirmatory Factor Analysis (CFA) with baseline data failed, but the modification indices also indicated considerable levels of local dependency requiring errors to be correlated. An EFA highlighted positive and negative effect domains. Rasch analysis confirmed that fit of data to the model was influenced by local dependency, and that in practice if the items from the six underlying domains were treated as six 'super' items, the scale was shown to measure one dominant construct of well being. An interval scale transformation was therefore possible. A significant improvement in well-being was observed over a three month period.
The PGWBI scale has satisfactory internal construct validity when tested with modern psychometric techniques, using data obtained from patients treated for stress-related exhaustion. The instrument has qualities that make it suitable also for monitoring well-being during interventions for stress-related exhaustion/clinical burnout.
心理综合幸福感指数(PGWBI)是一种在许多情况下广泛使用的量表。随着时间的推移,人们对该量表的维度结构提出了质疑,而且它尚未受到现代心理测量方法的严格审查。因此,本研究采用 Rasch 和因子分析方法对 PGWBI 进行评估。
连续招募到一家三级压力诊所的患者在基线和三个月时作为常规临床评估的一部分接受 PGWB 评估。对量表数据进行因子分析和 Rasch 分析。在这两种情况下,都允许对局部独立性违反进行调整。
共招募了 179 名患者,平均年龄为 43 岁,其中 70%为女性。初步的基线数据验证性因子分析(CFA)失败,但修正指数也表明存在相当程度的局部依赖性,需要对误差进行相关处理。探索性因子分析突出了积极和消极的影响领域。Rasch 分析证实,数据与模型的拟合受局部依赖性的影响,如果将来自六个潜在领域的项目视为六个“超级”项目,则该量表实际上可以测量一个主导的幸福感结构。因此,可以进行区间量表转换。在三个月的时间内,观察到幸福感显著改善。
当使用现代心理测量技术,使用因应激相关耗竭而接受治疗的患者获得的数据对 PGWBI 量表进行测试时,该量表具有令人满意的内部结构有效性。该工具具有使其也适合在应激相关耗竭/临床倦怠的干预过程中监测幸福感的品质。