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一种在特质情商背景下优化多维度评估工具的新心理测量方法研究。

An Examination of a New Psychometric Method for Optimizing Multi-Faceted Assessment Instruments in the Context of Trait Emotional Intelligence.

作者信息

Siegling A B, Petrides K V, Martskvishvili Khatuna

机构信息

London Psychometric Laboratory, University College London London, UK.

London Psychometric Laboratory, University College London London, UK ; Tbilisi State University Tbilisi, Georgia.

出版信息

Eur J Pers. 2015 Jan;29(1):42-54. doi: 10.1002/per.1976. Epub 2014 Nov 5.

Abstract

Driven by the challenge of representing and measuring psychological attributes, this article outlines a psychometric method aimed at identifying problem facets. The method, which integrates theoretical and empirical steps, is applied in the context of the construct of trait emotional intelligence (trait EI), using data from six different samples (N = 1284) collected across Europe. Alternative representations of the trait EI variance, derived from the outcome variables used in previous validation studies of the Trait Emotional Intelligence Questionnaire, were regressed on the 15 trait EI facets using the stepwise method. The analyses revealed five facets, which did not occupy unique construct variance in any of the six samples. As expected, a composite of the remaining 10 facets consistently showed greater construct validity than the original 15-facet composite. Implications for construct and scale development are discussed, and directions for further validation of the method and for its application to other constructs are provided. © 2014 The Authors. European Journal of Personality published by John Wiley & Sons Ltd on behalf of European Association of Personality Psychology.

摘要

受心理属性表征和测量挑战的驱动,本文概述了一种旨在识别问题维度的心理测量方法。该方法整合了理论和实证步骤,在特质情绪智力(特质EI)结构的背景下应用,使用了来自欧洲各地收集的六个不同样本(N = 1284)的数据。从特质情绪智力量表先前验证研究中使用的结果变量得出特质EI方差的替代表征,采用逐步法对15个特质EI维度进行回归分析。分析揭示了五个维度,在六个样本中的任何一个中,它们都不占据独特的结构方差。正如预期的那样,其余10个维度的组合始终显示出比原始15维度组合更高的结构效度。讨论了对结构和量表开发的启示,并提供了该方法进一步验证及其应用于其他结构的方向。© 2014作者。《欧洲人格杂志》由约翰·威利父子有限公司代表欧洲人格心理学会出版。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2030/4359043/98105fe1bd9e/per0029-0042-f1.jpg

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