Título New approaches on the study of the psychometric properties of the STAI
Autores ORTUÑO SIERRA, JAVIER, Garcia-Velasco, Lorena , Inchausti, Felix , Debbane, Martin , Fonseca-Pedrero, Eduardo
Publicación externa No
Medio Actas Esp Psiquiatr
Alcance Article
Naturaleza Científica
Cuartil JCR 3
Cuartil SJR 3
Impacto JCR 1.33900
Impacto SJR 0.36700
Web https://www.scopus.com/inward/record.uri?eid=2-s2.0-84974728188&partnerID=40&md5=b48307a4d2bb133f42420ad7c65341c2
Fecha de publicacion 01/05/2016
ISI 000377782000001
Scopus Id 2-s2.0-84974728188
Abstract 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.\n 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).\n 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.\n 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.
Palabras clave Anxiety; STAI; Validation; Psychometric properties; Self-report; Validity
Miembros de la Universidad Loyola

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