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Sojin Yun 2 Articles
Identification and Characterization of Alexithymia Subgroups by Latent Profile Analysis of TAS-20K
Jaeeun Shin, Sojin Yun, Taehun Lee
STRESS. 2022;30(1):22-29.   Published online March 31, 2022
DOI: https://doi.org/10.17547/kjsr.2022.30.1.22
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  • 11 Download
Abstract PDF
Background
The present study aimed to investigate the number of latent groups that can be identified on the basis on the level of difficulties identifying feelings (DIF), difficulties in describing feelings (DDF), and externally oriented thinking (EOT).
Methods
DIF, DDF, and EOT are the sub-factors of the 20-item Toronto Alexithymia Scale. Latent profile analysis was performed to identify the subgroups and investigate their properties. A total of 237 Korean university and graduate students were included in the study, and alexithymia subtypes were classified into 5 latent groups.
Results
The groups were classified according to the DIF and DDF scores. Furthermore, it was observed that the EOT did not play a role in classifying the groups. The higher the DIF and DDF scores, the higher were the levels of depression and anxiety. The type 2 latent group, which had a unique profile with the highest DIF level and an average DDF level, showed high levels of depression and anxiety.
Conclusions
These results suggest that the DIF significantly affects psychological adaptation, thus warranting the consideration of this parameter in counseling and psychotherapy.
A Study of Factor Structure of the Korean Version of the 20-Item Toronto Alexithymia Scale
Sojin Yun, Jaeeun Shin, Taehun Lee
STRESS. 2019;27(4):380-388.   Published online December 31, 2019
DOI: https://doi.org/10.17547/kjsr.2019.27.4.380
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  • 9 Download
  • 2 Citations
Abstract PDF
Background:

The purpose of this study is to examine the factor structure of the Korean version of the 20-Item Toronto Alexithymia Scale. The TAS-20 (source of the TAS-20K) has been supported the three-factor correlated model. However, some factor structure studies of the TAS-20 rejected the three-factor correlated model and adopted alternative models.

Methods:

In study 1, we conducted a comparison study of the alternative measurement models by using CFA. In study 2, we examined scale reliability and gender measurement invariance of the factor structure. To examine the alternative models and scale reliability, we using the bifactor model reliability indices.

Results:

As a result, the DIF and DDF factors have a close relationship but the EOT factor has some differences with DIF and DDF. So we adopted a two-factor correlated model with group factor. And the adopted factor structure has partial measurement invariance. Therefore we can compare gender differences of the TAS-20K.

Conclusions:

This study has significance that examining TAS-20K’s factor structure and examining measurement invariance in gender.


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