de Bonis M, Lebeaux M O, de Boeck P, Simon M, Pichot P
CNRS, Paris, France.
J Affect Disord. 1991 May-Jun;22(1-2):55-64. doi: 10.1016/0165-0327(91)90084-6.
The present study investigates the psychometric adequacy of a self-report inventory of depression (the QD2) with respect to the severity of depressive symptoms, within the framework of a unidimensional model of depressive states. Responses to the 52 QD2 items, by 481 subjects divided into four groups (depressed, psychiatric, somatic and control), were subjected to a Rasch analysis. Results show that 15 items (QSD(R1] display a satisfactory goodness of fit for both items and persons, as defined by the Rasch model. This set of items, solely related to 'pure' depression, gives a measure of the severity of depression, free from anxiety symptoms. The discussion focuses upon the advantages of the Rasch model as compared to traditional tests. The Rasch 15-item solution should provide a parsimonious tool for future studies on the classification of depressive disorders.
本研究在抑郁状态的单维模型框架内，就抑郁症状的严重程度，调查了一份抑郁自评量表（QD2）的心理测量学适当性。将481名受试者分为四组（抑郁组、精神科组、躯体组和对照组），对他们对QD2量表52个条目的回答进行了拉施分析。结果显示，按照拉施模型的定义，15个条目（QSD[R1]在条目和个体方面均显示出令人满意的拟合优度。这一组条目仅与“单纯”抑郁相关，可衡量抑郁的严重程度，且不受焦虑症状影响。讨论集中在拉施模型与传统测试相比的优势。拉施15条目解决方案应为未来抑郁障碍分类研究提供一个简洁的工具。
