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dc.contributor.authorHerpertz, J.
dc.contributor.authorTaylor, J.
dc.contributor.authorAllen, J.J.B.
dc.contributor.authorHerpertz, S.
dc.contributor.authorOpel, N.
dc.contributor.authorRichter, M.
dc.contributor.authorSubic-Wrana, C.
dc.contributor.authorDieris-Hirche, J.
dc.contributor.authorLane, R.D.
dc.date.accessioned2024-08-05T18:23:01Z
dc.date.available2024-08-05T18:23:01Z
dc.date.issued2023-03-22
dc.identifier.citationHerpertz J, Taylor J, Allen JJB, Herpertz S, Opel N, Richter M, Subic-Wrana C, Dieris-Hirche J and Lane RD (2023) Development and validation of a computer program for measuring emotional awareness in German—The geLEAS (German electronic Levels of Emotional Awareness Scale). Front. Psychiatry 14:1129755. doi: 10.3389/fpsyt.2023.1129755
dc.identifier.issn1664-0640
dc.identifier.doi10.3389/fpsyt.2023.1129755
dc.identifier.urihttp://hdl.handle.net/10150/673630
dc.description.abstractIntroduction: Emotional awareness is the ability to identify, interpret, and verbalize the emotional responses of oneself and those of others. The Levels of Emotional Awareness Scale (LEAS) is an objective performance inventory that accurately measures an individual's emotional awareness. LEAS assessments are typically scored manually and are therefore both time consuming and cognitively demanding. This study presents a German electronic scoring program for the LEAS (geLEAS), the first non-English computerized assessment approach of the LEAS. Methods: Data were collected from a healthy German community sample (N = 208). We developed a modern software for computerizing LEAS scoring, an open-source text-based emotion assessment tool called VETA (Verbal Emotion in Text Assessment). We investigated if the software would arrive at similar results as hand scoring in German and if emotional awareness would show similar associations to sociodemographic information and psychometric test results as in previous studies. Results: The most frequently used scoring method of the geLEAS shows excellent internal consistency (α = 0.94) and high correlations with hand scoring (r = 0.97, p < 0.001). Higher emotional awareness measured by the geLEAS is associated with female gender, older age, and higher academic achievement (all p < 0.001). Moreover, it is linked to the ability to identify emotions in facial expressions (p < 0.001) and more accurate theory of mind functioning (p < 0.001). Discussion: An automated method for evaluating emotional awareness greatly expands the ability to study emotional awareness in clinical care and research. This study aims to advance the use of emotional awareness as a clinical and scientific parameter. Copyright © 2023 Herpertz, Taylor, Allen, Herpertz, Opel, Richter, Subic-Wrana, Dieris-Hirche and Lane.
dc.language.isoen
dc.publisherFrontiers Media S.A.
dc.rights© 2023 Herpertz, Taylor, Allen, Herpertz, Opel, Richter, Subic-Wrana, Dieris-Hirche and Lane. This is an open-access article distributed under the terms of the Creative Commons Attribution License.
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectalexithymia
dc.subjectcomputerized assessment
dc.subjectemotion assessment
dc.subjectemotions
dc.subjectlevels of emotional awareness
dc.subjectperformance scale
dc.subjecttext analysis
dc.titleDevelopment and validation of a computer program for measuring emotional awareness in German—The geLEAS (German electronic Levels of Emotional Awareness Scale)
dc.typeArticle
dc.typetext
dc.contributor.departmentDepartment of Psychology, University of Arizona
dc.contributor.departmentDepartments of Psychiatry, Psychology and Neuroscience, University of Arizona
dc.identifier.journalFrontiers in Psychiatry
dc.description.noteOpen access journal
dc.description.collectioninformationThis item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.
dc.eprint.versionFinal Published Version
dc.source.journaltitleFrontiers in Psychiatry
refterms.dateFOA2024-08-05T18:23:01Z


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© 2023 Herpertz, Taylor, Allen, Herpertz, Opel, Richter, Subic-Wrana, Dieris-Hirche and Lane. This is an open-access article distributed under the terms of the Creative Commons Attribution License.
Except where otherwise noted, this item's license is described as © 2023 Herpertz, Taylor, Allen, Herpertz, Opel, Richter, Subic-Wrana, Dieris-Hirche and Lane. This is an open-access article distributed under the terms of the Creative Commons Attribution License.