Title |
Psychometric Properties of the 20-Item Toronto Alexithymia Scale in the Chilean Population
|
---|---|
Published in |
Frontiers in Psychology, June 2018
|
DOI | 10.3389/fpsyg.2018.00963 |
Pubmed ID | |
Authors |
Mauricio González-Arias, Agustín Martínez-Molina, Susan Galdames, Alfonso Urzúa |
Abstract |
Alexithymia can be defined as inability to identify and describe emotions in the self. Has shown to be related to several psychological and pathological processes that can result in unsatisfactory interpersonal relationships and decreased social adjustment. Advances in research of alexithymia require the development and validation of assessment instruments, and its application to different population. With this aim, we studied the psychometric properties of the Twenty-Item Toronto Alexithymia Scale (TAS-20) in Chilean population using various modeling procedures (e.g., CFA, ESEM) in different structures (i.e., Correlated, Unidimensional, Hierarchical or Wording factors). Among the 10 models tested, the four-dimensional structure offered the best fit but with item-loading problems in the last factor (Pragmatic Thinking). We suggest that the studied version of the scale needs improvement (theoretical and empirical) to ensure optimal indices of validation for Chilean population. |
X Demographics
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Geographical breakdown
Country | Count | As % |
---|---|---|
Switzerland | 1 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 45 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 6 | 13% |
Student > Bachelor | 5 | 11% |
Student > Doctoral Student | 3 | 7% |
Researcher | 3 | 7% |
Lecturer | 2 | 4% |
Other | 8 | 18% |
Unknown | 18 | 40% |
Readers by discipline | Count | As % |
---|---|---|
Psychology | 14 | 31% |
Neuroscience | 2 | 4% |
Computer Science | 2 | 4% |
Nursing and Health Professions | 2 | 4% |
Medicine and Dentistry | 2 | 4% |
Other | 5 | 11% |
Unknown | 18 | 40% |