Literature DB >> 25985111

A structural equation modeling study of the Spanish Mental Illness Stigma Attribution Questionnaire (AQ-27-E).

Manuel Muñoz1, Ana I Guillén1, Eloísa Pérez-Santos1, Patrick W Corrigan2.   

Abstract

The main purpose of this study was the translation and analysis of psychometric properties of the Attribution Questionnaire for use in Spanish-speaking populations (AQ-27-E) and to test the dangerousness and responsibility models of mental illness stigma in a Spanish sample. The sample consisted of 439 adults from the general population of the community of Madrid (Spain). The questionnaire was translated using the translation/back-translation method. Cronbach's alpha was used to carry out the reliability analysis, and structural equations were used to test the dangerousness and the responsibility models of stigma. Internal reliability of AQ-27-E was .855, which can be interpreted as good. However, some factors (Pity, Responsibility, and Coercion) showed limited internal consistency. Results suggest that the AQ-27-E is a standardized instrument with acceptable psychometric properties comparable to previous versions, which can be used to assess stigma in Spanish-speaking populations. (c) 2015 APA, all rights reserved).

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Year:  2015        PMID: 25985111     DOI: 10.1037/ort0000059

Source DB:  PubMed          Journal:  Am J Orthopsychiatry        ISSN: 0002-9432


  8 in total

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4.  Attitudes of the police towards individuals with a known psychiatric diagnosis.

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5.  Public stigma profile toward mental disorders across different university degrees in the University of Valencia (Spain).

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6.  Juror decision-making regarding a defendant diagnosed with borderline personality disorder.

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7.  Enhancing mental health literacy in obsessive-compulsive disorder and reducing stigma via smartphone: A randomized controlled trial protocol.

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8.  Teachers' Knowledge and Stigmatizing Attitudes Associated With Obsessive-Compulsive Disorder: Effectiveness of a Brief Educational Intervention.

Authors:  Antonio Chaves; Sandra Arnáez; María Roncero; Gemma García-Soriano
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  8 in total

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