School of Psychology, The University of Sydney, Australia.
School of Psychology, The University of Sydney, Australia.
J Anxiety Disord. 2022 Dec;92:102636. doi: 10.1016/j.janxdis.2022.102636. Epub 2022 Sep 23.
Cognitive models of social anxiety propose that overestimation of the probability and cost of negative evaluation plays a central role in maintaining the disorder. However, there are currently no self-report state-based measures of probability and cost appraisals. The current paper examines the psychometric properties of the Probability and Consequences Questionnaire for social anxiety (PCQ-SA), which measures probability and consequence appraisals both in anticipation of, and in response to, an impromptu speech task. A total of 532 participants were recruited for the present study, consisting of 409 participants with a principal diagnosis of Social Anxiety Disorder (SAD), and 123 non-clinical controls. Results of exploratory and confirmatory factor analyses supported a two-factor solution for the PCQ-SA. The PCQ-SA demonstrated excellent internal consistency, excellent test-retest reliability, good convergent validity at both time points (i.e., pre and post speech task), and sensitivity to treatment. Finally, using Receiver Operating Characteristic Curve Analysis, clinical cut-off scores were calculated for probability and consequences at both time points, with the PCQ-SA scales showing good sensitivity, specificity, and positive and negative predictive values. Overall, the results provide evidence that the PCQ-SA possesses excellent psychometric properties. The PCQ-SA is suitable for use in clinical and research settings to assess key cognitive maintaining factors for SAD.
社交焦虑的认知模型提出,对负面评价的可能性和代价的高估在维持这种障碍方面起着核心作用。然而,目前还没有基于自我报告的评估概率和代价的状态测量方法。本文探讨了用于社交焦虑的概率和后果问卷(PCQ-SA)的心理测量学特性,该问卷测量了在即兴演讲任务之前和之后对概率和后果的评估。本研究共招募了 532 名参与者,其中包括 409 名社交焦虑障碍(SAD)的主要诊断参与者和 123 名非临床对照组参与者。探索性和验证性因素分析的结果支持了 PCQ-SA 的两因素解决方案。PCQ-SA 表现出极好的内部一致性、极好的重测信度、在两个时间点(即演讲任务之前和之后)的良好收敛效度,以及对治疗的敏感性。最后,使用受试者工作特征曲线分析,在两个时间点计算了概率和后果的临床截断分数,PCQ-SA 量表显示出良好的敏感性、特异性、阳性和阴性预测值。总的来说,研究结果提供了证据表明 PCQ-SA 具有良好的心理测量学特性。PCQ-SA 适用于临床和研究环境中,以评估 SAD 的关键认知维持因素。