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      Application of the Spielberger's State-Trait Anger Expression Inventory in clinical patients Translated title: Aplicação do inventário de expressão de raiva estado-traço de Spielberger em pacientes clínicos

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          Abstract

          OBJECTIVE: To examine the factor structure of the Portuguese version of State-Trait Anger Expression Inventory (STAXI) in clinical patients. METHOD: 400 subjects from an internal medicine outpatient unit and 200 from a medical ward were recruited. Patients answered questions about clinical data, the STAXI, and the Beck Depression Inventory (BDI). Raw score of the STAXI was submitted to reliability assessment and factor analysis. RESULTS: Internal consistency using the Cronbach's alpha coefficient was of 0.84. The STAXI significantly correlated with BDI at r=0.352 (p<0.01). The final solution of Principal Component Analysis identified five meaningful factors: Trait-Anger, State-Anger, Anger-Control, Anger-Out, and Anger-In. This structural model is close to the original theoretical construct of Spielberger's STAXI. CONCLUSION: The Portuguese version of STAXI presented an adequate factorial structure that permits the evaluation of anger dimensions among clinical patients.

          Translated abstract

          OBJETIVO: Avaliar o construto e as propriedades psicométricas da versão em português do Inventário de Expressão de Raiva Estado-Traço (STAXI) em pacientes clínicos. MÉTODO: 400 indivíduos de uma unidade ambulatorial e 200 de uma enfermaria de clínica médica foram recrutados. Foram coletadas informações sobre aspectos clínicos, o STAXI e o Inventário de Depressão de Beck (BDI). Os escores brutos do STAXI foram submetidos à análise de confiabilidade e análise fatorial. RESULTADOS: A consistência interna pelo coeficiente alfa de Cronbach foi de 0,84. O STAXI se correlacionou significativamente com BDI (r=0,352; p<0,01). A análise de Componentes Principais identificou cinco fatores significativos: Raiva-traço, Raiva-estado, Controle-de-raiva, Raiva-para-fora e Raiva-para-dentro. Esse modelo estrutural é similar ao apresentado originalmente por Spielberger. CONCLUSÃO: A versão em português do STAXI apresenta uma estrutura fatorial adequada que permite a avaliação das dimensões da raiva em pacientes clínicos.

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          Factor structure of the State-Trait Anger Expression Inventory.

          The assessment of anger has received increased attention because of growing evidence that anger and hostility are related to heart disease. Research on anger assessment has also been stimulated by the development of psychometric measures for evaluating different facets of anger, such as the State-Trait Anger Expression Inventory (STAXI). In this study, factor analyses of the responses of a large sample of university students to the 44 STAXI items identified 7 factors. Of these, the first 6 factors closely corresponded with the 6 STAXI scales and subscales: State Anger (S-Anger); Trait Anger Temperament and Reaction; and Anger-In, Anger-Out, and Anger-Control. All 10 STAXI S-Anger items had salient loadings on the 1st factor for both sexes; the 7th factor also consisted primarily of S-Anger items. Factor analyses of responses to the 10 S-Anger items clearly confirmed two S-Anger factors for both sexes: Feeling Angry (e.g., "I am furious") and Feel Like Expressing Anger (e.g., "I feel like hitting someone").
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            Factor structure of the State-Trait Anger Expression Inventory for middle-aged men and women.

            Recently, Forgays, Forgays, and Spielberger (in press) reported the first exploratory factor analysis of the total 44-item State-Trait Anger Expression Inventory (STAXI) by gender. The analyses were based on a sample of over 700 male and female university students and identified quite well six of the original STAXI scales and subscales. In addition, a seventh factor, "Feel-Like-Expressing-Anger," emerged for women. In the present study, we examined the STAXI responses from a middle-aged adult population. Exploratory factor analyses replicated the majority of the original structure of the STAXI measure including a Feel-Like-Expressing-Anger factor for men and women. In addition, we employed confirmatory factor analyses and cross-validation procedures to test the validity of Spielberger's (1988) AHA! model. Based on these procedures, we found (a) that a seven-factor model provided a better fit than a six-factor solution for each gender and (b) evidence of robust gender differences for two factors: Feel-Like-Expressing-Anger and State Anger. These gender differences are consistent with the social costs for anger expression in women and the social benefits for men.
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              Anger, hostility and the heart

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                Author and article information

                Contributors
                Role: ND
                Role: ND
                Role: ND
                Role: ND
                Role: ND
                Journal
                anp
                Arquivos de Neuro-Psiquiatria
                Arq. Neuro-Psiquiatr.
                Academia Brasileira de Neurologia - ABNEURO (São Paulo )
                1678-4227
                April 2010
                : 68
                : 2
                : 231-234
                Affiliations
                [1 ] Universidade de São Paulo Brazil
                [2 ] Universidade de São Paulo Brazil
                [3 ] Universidade de Santo Amaro Brazil
                [4 ] Universidade de São Paulo Brazil
                [5 ] Universidade de São Paulo Brazil
                Article
                S0004-282X2010000200015
                10.1590/S0004-282X2010000200015
                20464291
                67d426f9-41b8-48ae-bea5-f3152484661c

                http://creativecommons.org/licenses/by/4.0/

                History
                Product

                SciELO Brazil

                Self URI (journal page): http://www.scielo.br/scielo.php?script=sci_serial&pid=0004-282X&lng=en
                Categories
                NEUROSCIENCES
                PSYCHIATRY

                Neurosciences,Clinical Psychology & Psychiatry
                psychometric scale,factor analysis,clinical patient,raiva,escala psicométrica,análise fatorial,pacientes clínicos,anger

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