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    New approaches on the study of the psychometric properties of the STAI

    Autor: 
    Ortuño-Sierra, Javier
    ;
    García-Velasco, Lorena
    ;
    Inchausti, Félix
    ;
    Debbane, Martín
    ;
    Fonseca-Pedrero, Eduardo
    Fecha: 
    05/2016
    Palabra clave: 
    anxiety; STAI; validation; psychometric properties; self-report; validity; JCR; Scopus
    Revista / editorial: 
    Actas Españolas de Psiquiatría
    Tipo de Ítem: 
    Articulo Revista Indexada
    URI: 
    https://reunir.unir.net/handle/123456789/5830
    Dirección web: 
    https://www.ncbi.nlm.nih.gov/pubmed/27254400
    Open Access
    Resumen:
    Introduction. The main purpose of this study was to analyze the psychometric properties of the State-Trait Anxiety Inventory (STAI1). Previous studies have indicated different factor solutions. Nevertheless, there is still a lack of consensus about the best dimensional model of STAI scores. Method. The sample consisted of 417 participants, composed of 387 (29.71% male) healthy participants (comparison group: M=35.5 years; SD=8.40), and 30 (36.66% male) patient (clinical group M=35.8 years; SD=12.94). Results. The internal consistency evaluated through Ordinal Alpha was good, 0.98 and 0.94 in the non-clinical and the clinical samples, respectively. Test-retest reliability (two weeks) for Total Score was 0.81 for the non-clinical subsample, and 0.93 for the clinical subsample. Confirmatory factor analyses supported both a four factor model and bifactor model. Also, STAI scores showed statistically significant correlations with Burns Anxiety Inventory (Burns-A) scores. Furthermore, results showed statistically significant differences in the mean scores of the STAI between the clinical and the non-clinical subsamples. Conclusions. The psychometric properties of the STAI were adequate. The present study contributes to better understand the STAI structure through the comparison of new approaches in the study of the STAI internal structure. The results found may contribute in the efforts to improve the evaluation and identification of anxiety symptoms and disorders.
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