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最大测量值还是有意义的测量值:明尼苏达多项人格测验第二版(MMPI-2)重构临床(RC)量表的解释挑战

Maximal measurement or meaningful measurement: the interpretive challenges of the MMPI-2 Restructured Clinical (RC) Scales.

作者信息

Caldwell Alex B

机构信息

Caldwell Report, P.O. Box 2786, Culver City, California 90231, USA.

出版信息

J Pers Assess. 2006 Oct;87(2):193-201. doi: 10.1207/s15327752jpa8702_09.

DOI:10.1207/s15327752jpa8702_09
PMID:16972823
Abstract

The persisting correlations of the Restructured Clinical (RC; Tellegen et al., 2003) Scales with independent measures of first-factor variance (A, NEGE) suggest that trying to extract demoralization did not work well, and it may not be a clinically realistic task. Nichols's (2006/this issue) description of the clinical scales as "syndromal" and "multivariate" is seen as accurately reflecting their multicore natures so that the emphasis on the extraction of a single core unduly distorts the complexity and richness of the scales. Meehl and Hathaway (1946) cited factorially derived scales as "maximal" measurement, specifically measuring something very well; empirical scales based on criterion groups provide "meaningful" measurement as to the similarities of an individual's behavior to that of the group. I discuss this narrowness of factorial scales, such as the RC Scales, as a limitation of their generalization. I discuss problems with interpreting scales on the basis of the face validity of their items; assuming that self-perception and self report are accurate is a potentially misleading and undependable basis for assessment and intervention. I contrast the narrowness of the interpretive specificity of the RC Scales with the much broader and surprisingly specific interpretations offered by study of the individuals aggregated by the MMPI (Hathaway & McKinley, 1943) and MMPI-2 (Butcher, Dahlstrom, Graham, Tellegen, & Kaemmer, 1989) code types.

摘要

重新构建的临床(RC;泰勒根等人,2003年)量表与首因子方差(A,NEGE)的独立测量之间持续存在的相关性表明,试图提取士气低落这一因素效果不佳,而且这可能不是一项临床现实任务。尼科尔斯(2006年/本期)将临床量表描述为“综合征性”和“多变量”,这被视为准确反映了它们的多核性质,因此强调提取单一核心会过度扭曲量表的复杂性和丰富性。米尔和哈撒韦(1946年)将因子推导量表称为“最大化”测量,即能非常好地测量某事物;基于标准组的经验性量表提供了关于个体行为与该组行为相似性的“有意义”测量。我将讨论诸如RC量表等因子量表的这种局限性,即它们的概括性有限。我还将讨论基于量表项目表面效度来解释量表的问题;假设自我认知和自我报告是准确的,这对于评估和干预来说是一个潜在的误导性且不可靠的基础。我将RC量表解释特异性的狭隘性与通过对明尼苏达多相人格调查表(MMPI;哈撒韦和麦金利,1943年)及MMPI - 2(布彻、达尔斯特伦、格雷厄姆、泰勒根和凯默,1989年)编码类型汇总的个体研究提供的更广泛且惊人具体的解释进行对比。

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