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平衡量表能否评估双相结构?以状态-特质焦虑量表为例。

Do balanced scales assess bipolar constructs? The case of the STAI scales.

作者信息

Vautier Stéphane, Pohl Steffi

机构信息

Vautier, Department of Psychology, Universite de Toulouse, Toulouse, France.

出版信息

Psychol Assess. 2009 Jun;21(2):187-93. doi: 10.1037/a0015312.

Abstract

Balanced scales, that is, scales based on items whose content is either negatively or positively polarized, are often used in the hope of measuring a bipolar construct. Research has shown that usually balanced scales do not yield 1-dimensional measurements. This threatens their construct validity. The authors show how to test bipolarity while accounting for method effects. This is demonstrated on a data set of state and trait anxiety measured with the State-Trait Anxiety Inventory (STAI; C. D. Spielberger, R. L. Gorsuch, R. Lushene, P. R. Vagg, & G. A. Jacobs, 1983) scales. Taking a test-retest perspective, assuming temporally stable method effects, the authors tested the bipolarity of the temporal change through suitable constraints specified in a structural equation model adapted from S. Vautier, R. Steyer, and A. Boomsma (2008). The model fit the data closely, chi(2)(13, N = 888) = 20.75, p = .07. Thus, the state and trait scales seem to measure bipolar constructs plus temporally stable method effects. Parameter estimates suggest reliable change scores for the state anxiety scale (rho = .90) and specific method effects for the state and trait scales of the STAI.

摘要

平衡量表,即基于内容具有消极或积极两极分化项目的量表,常被用于测量双极结构。研究表明,通常平衡量表无法得出一维测量结果。这威胁到了它们的结构效度。作者展示了如何在考虑方法效应的同时检验双极性。这在使用状态-特质焦虑量表(STAI;C.D. 斯皮尔伯格、R.L. 戈尔苏奇、R. 卢申、P.R. 瓦格和G.A. 雅各布斯,1983年)测量的状态和特质焦虑数据集上得到了证明。从重测的角度出发,假设方法效应在时间上是稳定的,作者通过在改编自S. 瓦蒂尔、R. 施泰尔和A. 博姆斯马(2008年)的结构方程模型中指定的适当约束来检验时间变化的双极性。该模型与数据拟合紧密,卡方(2)(13, N = 888) = 20.75,p = .07。因此,状态和特质量表似乎测量的是双极结构加上时间上稳定的方法效应。参数估计表明状态焦虑量表的可靠变化分数(rho = .90)以及STAI状态和特质量表的特定方法效应。

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