Department of Behavioral and Social Sciences, Brown University, United States; Department of Psychiatry and Human Behavior, Alpert Medical School of Brown University, United States.
VA Boston Healthcare System, United States.
J Behav Ther Exp Psychiatry. 2019 Sep;64:133-148. doi: 10.1016/j.jbtep.2019.04.003. Epub 2019 Apr 11.
The Word Sentence Association Paradigm (WSAP) was originally designed to assess and modify interpretive biases (IB) in socially anxious individuals. Researchers have since modified the WSAP for use across various populations. Despite its widespread use, no studies have systematically reviewed the WSAP to determine its validity and reliability.
We review variations to the WSAP, populations in which the WSAP has been used, reliability data, and effect sizes across 41 studies published between 2008 and March 2018.
Results indicate that the WSAP has been utilized to target 18 disorders and symptoms in adults and children. Modifications include stimulus content, timing parameters, and presentation order of word and sentence pairs. Reported internal consistency and test-retest reliability suggest good to excellent reliability. Medium to large effect sizes were reported when comparing control samples to those with psychopathology and in pre-post comparisons of the modification version of the WSAP.
Studies varied regarding which indices of the WSAP were presented and specific task parameters used, making it challenging to compare effects.
The WSAP is a reliable and valid instrument for assessing and modifying interpretive biases with unique characteristics compared with other IB assessment and modification tasks.
单词句子联想范式（WSAP）最初是为了评估和修正社交焦虑个体的解释偏差（IB）而设计的。此后，研究人员对 WSAP 进行了修改，以便在各种人群中使用。尽管 WSAP 被广泛使用，但尚无研究系统地评估 WSAP 的有效性和可靠性。
我们回顾了 WSAP 的变化、使用 WSAP 的人群、可靠性数据以及 2008 年至 2018 年 3 月期间发表的 41 项研究的效应量。
结果表明，WSAP 已被用于评估成人和儿童的 18 种障碍和症状。修改包括刺激内容、时间参数以及单词和句子对的呈现顺序。报告的内部一致性和重测信度表明信度良好到优秀。与对照组相比，与精神病理学组相比，以及在 WSAP 修正版的前后比较中，报告的效应量均为中等至较大。
研究在呈现 WSAP 的哪些指标以及使用特定的任务参数方面存在差异，这使得比较效果变得具有挑战性。
与其他解释偏差评估和修正任务相比，WSAP 是一种可靠且有效的评估和修正解释偏差的工具，具有独特的特征。
