Ortuño-Sierra Javier, García-Velasco Lorena, Inchausti Félix, Debbané Martin, Fonseca-Pedrero Eduardo
Department of Psychology, Universidad Loyola Andalucía, Spain.
Department of Psychology, International University of La Rioja, Spain.
Actas Esp Psiquiatr. 2016 May;44(3):83-92. Epub 2016 May 1.
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.
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).
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.
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.
本研究的主要目的是分析状态-特质焦虑量表(STAI1)的心理测量特性。先前的研究表明存在不同的因素解决方案。然而,关于STAI分数的最佳维度模型仍缺乏共识。
样本由417名参与者组成,其中包括387名健康参与者(比较组:男性占29.71%;M = 35.5岁;标准差 = 8.40)和30名患者(临床组:男性占36.66%;M = 35.8岁;标准差 = 12.94)。
通过有序阿尔法系数评估的内部一致性良好,非临床样本和临床样本中的系数分别为0.98和0.94。总分的重测信度(两周)在非临床子样本中为0.81,在临床子样本中为0.93。验证性因素分析支持四因素模型和双因素模型。此外,STAI分数与伯恩斯焦虑量表(Burns-A)分数显示出统计学上的显著相关性。此外,结果显示临床子样本和非临床子样本之间STAI的平均分数存在统计学上的显著差异。
STAI的心理测量特性是足够的。本研究通过比较STAI内部结构研究中的新方法,有助于更好地理解STAI的结构。所发现的结果可能有助于努力改进焦虑症状和障碍 的评估与识别。