Psychometric Properties of the Chinese Bermond–Vorst Alexithymia Questionnaire: An Exploratory Structural Equation Modeling Study

Zhihao Wang, Ting Wang, Katharina S. Goerlich, Riddhi J. Pitliya, Bob Bermond, André Aleman, Pengfei Xu*, Yuejia Luo*

*Corresponding author for this work

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Abstract

The Toronto Alexithymia Scale-20 (TAS-20) has been widely used to assess alexithymia. The Bermond–Vorst Alexithymia Questionnaire (BVAQ) assesses two additional features of alexithymia—the affective factors of emotionalizing and fantasizing, which are not included in the TAS-20. However, there is currently no Chinese version of the BVAQ. Here, the authors collected data from 439 college students (293 females, aged 17–27, mean ± SD = 20.25 ± 1.88) to evaluate the psychometric properties for a Chinese BVAQ translation. Exploratory structural equation modeling and confirmatory factor analysis provided satisfactory validity and acceptable reliability for a six-factor first-order solution of a 35-item Chinese BVAQ. This adaptation retained the five original BVAQ factors (identifying, analyzing, verbalizing, emotionalizing, and fantasizing) and further specified the factor of identifying (successful identifying and unsuccessful identifying feelings). The authors also found a two-factor second-order model of cognitive and affective components for alexithymia in the Chinese population. Higher correlations with the TAS-20 were observed for identifying, analyzing, and verbalizing feelings (0.34 ∼ 0.61) relative to fantasizing and emotionalizing (0.02 ∼ −0.05). These results support the construct validity of the adaptation. This work provides a reliable and valid Chinese adaptation of the BVAQ.

Original languageEnglish
Number of pages11
JournalJournal of pacific rim psychology
Volume15
DOIs
Publication statusPublished - 2021

Keywords

  • alexithymia
  • Bermond–Vorst Alexithymia Questionnaire (BVAQ)
  • confirmatory factor analysis (CFA)
  • exploratory structural equation modeling (ESEM)
  • Toronto Alexithymia Scale-20 (TAS-20)

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