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Variance Composition, Reliability, Validity, and Measurement Invariance of the Toronto Alexithymia Scale-20 in Nonclinical Samples

机译:非临床样本中多伦多述情障碍量表 20 的方差组成、信度、效度和测量不变性

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Public Significance Statement Evidence was provided showing that the Toronto Alexithymia Scale-20 (TAS-20) may be used as a unidimensional instrument, and that men and women understand the scale in the same way. However, the use of a TAS-20 total score may be more efficacious if the scale were trimmed. The present study extended prior work on the Toronto Alexithymia Scale-20 (TAS-20). The TAS-20 total scale score is commonly used in research in the psychology of men and masculinities and in clinical practice, but most published confirmatory factor analyses (CFA's) do not support this use. Using a sample of 913 men and women, variance composition was assessed, and model-based dimensionality and reliability coefficients were calculated, finding evidence for unidimensionality, which supports the use of the total scale raw score but not that of the subscales, although the model fit was less than desired. Convergent and concurrent evidence was found for the validity of the TAS-20 in men as a unidimensional scale (N = 505) by examining relationships with latent variables of several constructs in the nomological network. An assessment of measurement invariance by gender (men, women) found evidence for metric invariance, indicating that cisgender men and women understand the scale in the same way. It is recommended that the TAS-20 scale developers follow recommended procedures to trim composite measurement scales to improve the psychometric properties (i.e., model fit) of the TAS.
机译:公开声明的证据意义提供显示,多伦多述情障碍Scale-20 (TAS-20)可能是线性的仪器,男人和女人的理解以同样的方式。TAS-20总分可能更有效,如果削减规模。之前工作在多伦多述情障碍Scale-20(TAS-20)。在心理学的研究中常用的男子和男子气概和在临床实践中,但大多数发表的验证性因素分析(CFA)不支持此用。的913名男性和女性、方差成分评估,基于模型的维数可靠性系数进行了计算,发现unidimensionality证据,支持使用总规模的原始分数但不是合适的分量表,虽然模型更少比预期的。被发现的有效性TAS-20男性吗作为一个一维的规模(N = 505)通过检查与潜变量的几个关系法理学的网络结构。评估测量不变性的性别(男人,女人)发现证据的量度不变性,这表明cisgender男人和女人理解规模以同样的方式。建议TAS-20规模开发人员按照推荐程序组合改善心理测量量表属性(例如,模型适合)的助教。

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