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特质情绪智力量表简版的项目反应理论建模:瑞典多中心横断面研究中的项目精简、项目功能差异及效度

Item response theory modelling of the trait emotional intelligence questionnaire-short form: item streamlining, differential item functioning, and validity in a Swedish multicenter cross-sectional study.

作者信息

Dåderman Anna M, Persson Björn N, Ahlstrand Inger, Hallgren Jenny, Larsson Ingrid, Larsson Margaretha, Sundler Annelie J, Hedén Lena, Nunstedt Håkan, Ekman Aimée, Lood Qarin, Andersson Hammar Isabelle, Pennbrant Sandra

机构信息

Department of Social and Behavioral Studies, University West, Trollhättan, Sweden.

Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.

出版信息

BMC Psychol. 2025 Aug 29;13(1):987. doi: 10.1186/s40359-025-03271-1.

Abstract

BACKGROUND

Trait emotional intelligence (EI) is often assessed using the 30-item Trait Emotional Intelligence Questionnaire-Short Form (TEIQue-SF). However, previous research using item response theory (IRT) modelling has identified several underperforming items. This study aimed to psychometrically evaluate, refine, and optimize the TEIQue-SF using IRT, with the goals of identifying and eliminating underperforming items, and examining whether items in the refined version function differently across sexes. Furthermore, the study sought to further validate the Swedish version of the TEIQue-SF.

METHODS

This cross-sectional study surveyed 845 first-year students aged 19-59 (87% women) from seven healthcare and social work programs across six universities in southern Sweden. Participants completed the TEIQue-SF and health-related measures for convergent validity. IRT modeling employed the Graded Response Model (GRM) using the 2-Parameter Logistic Model in IRT for Patient-Reported Outcomes (IRTPRO). Marginal reliability and differential item functioning (DIF) were assessed with IRT, internal consistency with Cronbach's alpha and mean inter-item correlations, and validity through evaluating Direct Discrepancy Dynamic fit index (DDDFI) and bivariate correlations.

RESULTS

The IRT modeling identified underperforming items, leading to a refined 12-item TEIQue-SF that effectively captures trait EI with high-quality items. The item selection process is detailed and supplemented. The shortened measure showed a strong correlation with the original (r = .94), demonstrated good reliability, and exhibited uniform DIF for only one item (Item 15). A comparison of confirmatory factor analysis (CFA) model fit statistics using the DDDFI indicated a fair fit for the TEIQue-SF. Consistent with previous research on the TEIQue-SF, both 30-item and 12 item versions demonstrated strong convergent validity with health-related measures within the Swedish context.

CONCLUSIONS

The 12-item TEIQue-SF is a brief, precise, and valid measure for assessing trait EI while preserving its global conceptual structure. IRT modeling and validity testing against health-related measures confirm that 12-item TEIQue-SF effectively captures trait EI.

摘要

背景

特质情商(EI)通常使用30项特质情商量表简版(TEIQue-SF)进行评估。然而,先前使用项目反应理论(IRT)建模的研究发现了几个表现不佳的项目。本研究旨在使用IRT对TEIQue-SF进行心理测量评估、完善和优化,目标是识别并剔除表现不佳的项目,并检验修订版中的项目在不同性别中的功能是否存在差异。此外,该研究还试图进一步验证TEIQue-SF的瑞典语版本。

方法

这项横断面研究对瑞典南部六所大学七个医疗保健和社会工作专业的845名19至59岁的一年级学生(87%为女性)进行了调查。参与者完成了TEIQue-SF以及用于收敛效度的健康相关测量。IRT建模采用等级反应模型(GRM),在用于患者报告结果的IRT(IRTPRO)中使用双参数逻辑模型。使用IRT评估边际信度和项目功能差异(DIF),使用克朗巴哈系数和平均项目间相关性评估内部一致性,并通过评估直接差异动态拟合指数(DDDFI)和双变量相关性来评估效度。

结果

IRT建模识别出了表现不佳的项目,从而形成了一个经过完善的12项TEIQue-SF,该量表通过高质量的项目有效地捕捉了特质EI。详细介绍并补充了项目选择过程。缩短后的量表与原始量表显示出很强的相关性(r = 0.94),具有良好的信度,并且仅一个项目(项目15)表现出一致的DIF。使用DDDFI进行的验证性因素分析(CFA)模型拟合统计比较表明,TEIQue-SF拟合度尚可。与先前关于TEIQue-SF的研究一致,在瑞典背景下,30项和12项版本与健康相关测量均显示出很强的收敛效度。

结论

12项TEIQue-SF是一种简短、精确且有效的测量工具,用于评估特质EI,同时保留其整体概念结构。针对健康相关测量的IRT建模和效度测试证实,12项TEIQue-SF能够有效地捕捉特质EI。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5bce/12398037/3269c76e7d38/40359_2025_3271_Fig1_HTML.jpg

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