Ni Yuhan, Fang Shuanghu
School of Educational Science, Anhui Normal University, Wuhu, China.
BMC Psychol. 2025 Jul 1;13(1):687. doi: 10.1186/s40359-025-03028-w.
The 20-item Toronto Alexithymia Scale (TAS-20) is a measure of three components of alexithymia: difficulty identifying feelings (DIF), difficulty describing feelings (DDF), and externally oriented thinking (EOT). Although TAS-20 is being increasingly used to measure the alexithymia construct, ongoing controversies remain regarding its internal structure and cross-cultural and cross-group applicability. This study evaluated the psychometric properties of the Chinese version of TAS-20 (TAS-20-C) among 1,355 Chinese young adolescents (mean age = 13.13; SD = 1.00; 52.6% boys) through multiple analytic approaches (i.e., confirmatory factor analysis, network analysis, and latent profile analysis). The confirmatory factor analysis showed reasonable goodness-of-fit for the bi-factorial model with three-dimensional structure and a negatively keyed item factor. However, the results derived from all analytic approaches suggested several items with poor psychometric properties (items 5, 10, 16, 18, 19, 20 from EOT and item 12 from DDF), including poor factor loading on their intended factor, low connectivity and predictability in the item network, and insufficient discrimination across heterogeneous groups. These issues could be attributed to an overabundance of negatively keyed items, translation biases, and the poor readability of certain items. The findings highlight the need for targeted revisions to both the wording and the content for these items, and offer insights into higher priority interventions aimed at improving alexithymia.
20项多伦多述情障碍量表(TAS - 20)用于测量述情障碍的三个组成部分:识别情感困难(DIF)、描述情感困难(DDF)和外向性思维(EOT)。尽管TAS - 20越来越多地用于测量述情障碍结构,但关于其内部结构以及跨文化和跨群体适用性仍存在争议。本研究通过多种分析方法(即验证性因素分析、网络分析和潜在剖面分析),对1355名中国青少年(平均年龄 = 13.13;标准差 = 1.00;52.6%为男孩)中的中文版TAS - 20(TAS - 20 - C)的心理测量特性进行了评估。验证性因素分析表明,具有三维结构和反向计分项目因素的双因素模型具有合理的拟合优度。然而,所有分析方法得出的结果都表明,有几个项目的心理测量特性较差(EOT中的项目5、10、16、18、19、20以及DDF中的项目12),包括在其预期因素上的因素负荷较低、项目网络中的连通性和可预测性较低,以及在异质群体中的区分度不足。这些问题可能归因于反向计分项目过多、翻译偏差以及某些项目的可读性较差。研究结果强调了对这些项目的措辞和内容进行有针对性修订的必要性,并为旨在改善述情障碍的更高优先级干预措施提供了见解。