Melbourne School of Psychological Sciences.
Psychol Assess. 2018 Apr;30(4):524-538. doi: 10.1037/pas0000501. Epub 2017 May 29.
Social and emotional problems are commonly reported after moderate to severe acquired brain injury (ABI) and pose a significant barrier to rehabilitation. However, progress in assessment of emotional skills has been limited by a lack of validated measurement approaches. This study represents the first formal psychometric evaluation of the use of the Mayer-Salovey-Caruso Emotional Intelligence Test (MSCEIT) V2.0 as a tool for assessing skills in perceiving, using, understanding and managing emotions following ABI. The sample consisted of 82 participants aged 18-80 years in the postacute phase of recovery (2 months-7 years) after moderate to severe ABI. Participants completed the MSCEIT V2.0 and measures of cognition and mood. Sociodemographic and clinical variables were collated from participant interview and medical files. Results revealed deficits across all MSCEIT subscales (approximately 1 SD below the normative mean). Internal consistency was adequate at overall, area, and branch levels, and MSCEIT scores correlated in expected ways with key demographic, clinical, cognitive, and mood variables. MSCEIT performance was related to injury severity and clinician-rated functioning after ABI. Confirmatory factor analysis favored a 3-factor model of EI due to statistical redundancy of the Using Emotions branch. Overall, these findings suggest that the MSCEIT V2.0 is sensitive to emotion processing deficits after moderate to severe ABI, and can yield valid and reliable scores in an ABI sample. In terms of theoretical contributions, our findings support a domain-based, 3-factor approach for characterizing emotion-related abilities in brain-injured individuals. (PsycINFO Database Record
社交和情感问题在中度至重度获得性脑损伤(ABI)后经常被报道,并对康复构成重大障碍。然而,由于缺乏经过验证的测量方法,情感技能评估的进展受到限制。本研究代表了首次对 Mayer-Salovey-Caruso 情绪智力测验(MSCEIT)V2.0 的使用进行正式心理计量学评估,作为评估 ABI 后感知、使用、理解和管理情绪技能的工具。样本包括 82 名年龄在 18 至 80 岁之间的参与者,处于中度至重度 ABI 后的急性期后阶段(2 个月至 7 年)。参与者完成了 MSCEIT V2.0 和认知与情绪测量。社会人口统计学和临床变量从参与者访谈和医疗档案中收集。结果显示,所有 MSCEIT 分量表都存在缺陷(大约比正态均值低 1 个标准差)。整体、区域和分支水平的内部一致性是足够的,MSCEIT 分数与关键的人口统计学、临床、认知和情绪变量以预期的方式相关。MSCEIT 表现与 ABI 后的损伤严重程度和临床医生评定的功能有关。由于使用情绪分支的统计冗余,验证性因素分析更倾向于 EI 的 3 因素模型。总体而言,这些发现表明,MSCEIT V2.0 对中度至重度 ABI 后情绪处理缺陷敏感,并且可以在 ABI 样本中产生有效和可靠的分数。就理论贡献而言,我们的发现支持一种基于领域的、3 因素方法,用于描述脑损伤个体的情绪相关能力。