Parker Gordon, Manicavasagar Vijaya, Crawford Jo, Tully Lucy, Gladstone Gemma
School of Psychiatry, University of New South Wales, and Black Dog Institute, Sydney, Australia.
Psychol Med. 2006 Aug;36(8):1131-9. doi: 10.1017/S0033291706007562. Epub 2006 May 2.
We sought to develop a refined measure of eight personality traits or constructs observed in those who develop depression. We report the psychometric properties of the derived Temperament and Personality (T and P) questionnaire, as well as a pilot study examining its capacity to differentiate over-represented personality traits in those with depression.
The factor structure of the T&P measure was examined in a general practice sample of 529 subjects. We imposed a range of factorial solutions to determine how higher-order molar constructs arborized to eight lower-order constructs. Scale scores generated at each derived tier were contrasted for 52 out-patients with major depression and control subjects from the general practice sample to pursue over-represented personality constructs, and to clarify if an optimal number of constructs could be identified.
In the factor analysis, some 90% of the items loaded on their a priori construct. The questionnaire showed high internal consistency, test-retest reliability and minimal sensitivity to mood state effects. Analyses rejected the hypothesis that risk to depression might be generally affected by individuals merely scoring high on all 'normal' personality styles, whether higher-order or lower-order traits.
Findings suggest that, while identified constructs linked well with the widely accepted theoretical model of personality (the Five Factor Model) at one tier, such a fixed model may be too inflexible. We therefore detail potential advantages to using a multi-tiered model of personality traits in application studies.
我们试图开发一种针对抑郁症患者所观察到的八种人格特质或结构的精确测量方法。我们报告了衍生的气质与人格(T&P)问卷的心理测量特性,以及一项初步研究,该研究考察了其区分抑郁症患者中过度呈现的人格特质的能力。
在一个由529名受试者组成的全科样本中检验了T&P测量方法的因子结构。我们采用了一系列因子分解方法来确定高阶总体结构如何细分为八个低阶结构。将52名重度抑郁症门诊患者和来自全科样本的对照受试者在每个衍生层级生成的量表分数进行对比,以找出过度呈现的人格结构,并明确是否可以确定最佳的结构数量。
在因子分析中,约90%的项目负荷于其先验结构上。该问卷显示出高内部一致性、重测信度以及对情绪状态影响的最小敏感性。分析否定了抑郁症风险可能普遍受个体在所有“正常”人格类型(无论是高阶还是低阶特质)上高分影响的假设。
研究结果表明,虽然所确定的结构在一个层级上与广泛接受的人格理论模型(五因素模型)联系良好,但这样一个固定模型可能过于僵化。因此,我们详细阐述了在应用研究中使用人格特质多层次模型的潜在优势。