A cognitive and an affective dimension of alexithymia in six languages and seven populations

Autor:	Alla Liberova, Bernard Rimé, Pio Enrico Ricci Bitti, Harrie H. Vorst, Bob Bermond, Hugh L. Wagner, Kymbra Clayton, Tomasz Maruszewski, Olivier Luminet, Jelte M. Wicherts
Přispěvatelé:	Psychologische Methodenleer (Psychologie, FMG), Brein en Cognitie (Psychologie, FMG)
Rok vydání:	2007
Předmět:	education.field_of_study Group (mathematics) Cultural group selection Population Experimental and Cognitive Psychology Cognition Factor structure medicine.disease Developmental psychology Fantasising Arts and Humanities (miscellaneous) Alexithymia Developmental and Educational Psychology medicine Affective dimension education Psychology
Zdroj:	Cognition & Emotion, 21, 1125-1136. Taylor and Francis Ltd.
ISSN:	1464-0600 0269-9931
DOI:	10.1080/02699930601056989
Popis:	The Dutch Bermond–Vorst Alexithymia Questionnaire (BVAQ) is translated into various languages. The aim of this research was to establish the factor structure of subscales on seven cultural groups. The BVAQ consists of five subscales of eight items each: Emotionalising, Fantasising, Analysing, Identifying, and Verbalising emotions. The BVAQ was administered to a group of Dutch students (n=375), a group of English students (n=175), a group of Australian students, university employees and visitors (n=216), a group of French speaking Belgian students (n=175), a group of Italian people (n=791; a mix of various clinical groups), a group of Polish people (n=427; also a mix of various clinical groups) and a group of Russian people (n=141; general population). The hypothesised two-factor structure of an affective alexithymia dimension (Emotionalising, Fantasising) and a cognitive alexithymia dimension (Insight and Verbalising), with “Analysing emotions” loading on both factors, was clearly supported by confirmatory factor analyses (CFA). Both orthogonal and oblique principal components analyses (PCA), without restriction concerning the number of factors, provided the same two-factor solution in all groups explaining between 55% and 64% of the variance. Oblique rotation further demonstrated that the correlations between these two factors were low in all populations. The combined CFA and PCA results, therefore, indicated that a model with two independent factors has to be preferred over the model assuming two correlated factors.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3a10febe80c3b63f16cbda67625400d7 https://doi.org/10.1080/02699930601056989 Zobrazit plný text záznamu Plný text ve formátu PDF Plný text ve formátu HTML
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