心理学
验证性因素分析
探索性因素分析
收敛有效性
焦虑
预测(人工智能)
结构效度
临床心理学
心理测量学
失调家庭
比例(比率)
发展心理学
内部一致性
结构方程建模
精神科
物理
人工智能
统计
量子力学
计算机科学
数学
作者
Simge Vural,Nuno Ferreira
出处
期刊:Cognition, Brain, Behavior
[Galati University Press]
日期:2021-09-01
卷期号:25 (3): 261-288
被引量:1
标识
DOI:10.24193/cbb.2021.25.14
摘要
Background: Anticipatory Anxiety (AA) is defined as a course of thoughts, feelings, and actions occurring just and only "before" an anxiety-provoking event. In order to explore this construct, the Anticipation Anxiety Inventory (AAI) was developed and its psychometric properties have been investigated in two studies. Methods: Study 1 used an Exploratory Factor Analysis approach to determine the factor structure of the items of the scale. In study 2, a Confirmatory Factor Analysis was performed to assess the scale structure, the validity of the factor solution, and convergent and discriminatory validity. Results: Exploratory factor analysis from study 1 suggested 13 items across four factors for the AAI: Emotional Hypersensitivity, Physical responses to AA, Dysfunctional Cognitions, and Daily Functioning. In study 2, the Confirmatory Factor Analysis indicated that the 4-factor solution of the AAI had an acceptable fit, excellent internal consistency (α= 0.92), and displayed good convergent and discriminatory validity. Conclusion: The AAI could be proposed as a useful valid and reliable tool to investigate AA. For future implications, more research is needed regarding the utility of this measure in experimental designs or clinical settings.
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