Mental Health and Treatment Center, Ruhr-University Bochum, Massenbergstraße 9-13, 44787, Bochum, Germany.
University of Marburg, Marburg, Germany.
BMC Psychol. 2016 Feb 10;4:8. doi: 10.1186/s40359-016-0111-x.
In recent years, it has been increasingly recognized that the absence of mental disorder is not the same as the presence of positive mental health (PMH). With the PMH-scale we propose a short, unidimensional scale for the assessment of positive mental health. The scale consists of 9 Likert-type items.
The psychometric properties of the PMH-scale were tested in a series of six studies using samples from student (n = 5406), patient (n = 1547) and general (n = 3204) populations. Factorial structure and measurement equivalence were tested with the measurement invariance testing. The factor models were analysed with the maximum likelihood procedure. Internal consistency was examined using Cronbach's alpha, test-retest reliability, convergent and divergent validity was examined by Pearson correlation. Sensitivity to (therapeutic) change was examined with the t-test.
Results confirmed unidimensionality, scalar invariance across samples and over time, high internal consistency, good retest-reliability, good convergent and discriminant validity as well as sensitivity to therapeutic change.
These findings suggest that the PMH-Scale indeed measures a single concept and allows us to compare scores over groups and over time. The PMH-scale thus is a brief and easy to interpret instrument for measuring PMH across a large variety of relevant groups.
近年来，人们越来越认识到，没有精神障碍并不等同于拥有积极的心理健康（PMH）。我们提出了 PMH 量表，这是一种用于评估积极心理健康的简短、单一维度的量表。该量表由 9 个李克特式项目组成。
我们使用来自学生（n=5406）、患者（n=1547）和一般人群（n=3204）的样本，在一系列六项研究中测试了 PMH 量表的心理测量特性。使用测量不变性检验测试了因子结构和测量等效性。使用最大似然程序分析了因子模型。使用 Cronbach's alpha 检验内部一致性，使用 Pearson 相关检验测试-再测试可靠性、收敛和判别效度。使用 t 检验检验对（治疗）变化的敏感性。
结果证实了单维性、样本和时间的标量不变性、高内部一致性、良好的重测信度、良好的收敛和判别效度以及对治疗变化的敏感性。
这些发现表明，PMH 量表确实衡量了一个单一的概念，并允许我们在不同的群体和时间上比较分数。因此，PMH 量表是一种简单易用的工具，可用于测量各种相关群体的 PMH。
