Hsin-Yu Chiang, ScD, is Associate Professor, Department of Occupational Therapy, College of Medicine, Fu Jen Catholic University, New Taipei City, Taiwan.
Shih-Chieh Lee, PhD, is Postdoctoral Researcher, School of Occupational Therapy, College of Medicine, National Taiwan University, Taipei, Taiwan.
Am J Occup Ther. 2020 Jul/Aug;74(4):7404205050p1-7404205050p9. doi: 10.5014/ajot.2020.036293.
A psychometrically sound measure of social knowledge (SK) is necessary to assess people with schizophrenia because they tend to have moderate to severe deficits in SK.
To develop a computerized adaptive test (CAT) for assessing SK in people with schizophrenia.
Two phases, consisting of (1) development and validation of an SK item bank and (2) determination of the best stopping rules for the CAT.
Two psychiatric hospitals.
Two hundred thirty-six people diagnosed with schizophrenia through convenience sampling.
Computerized Adaptive Test-Social Knowledge (CAT-SK).
The SK items were examined using Rasch analysis. A CAT simulation was performed to determine the best set of stopping rules for achieving high reliability and efficiency. After unsuitable items were removed, 71 items remained with acceptable model fit (infit and outfit mean square <1.4) and no gender bias. Two suboptimal alternative sets of rules were identified. The most efficient set used 21 items to achieve acceptable Rasch reliability (.81). The most reliable set used 40 items to achieve satisfactory Rasch reliability (.88). High correlations (r > .93) between CAT-SK scores and scores on the SK item bank support the concurrent validity of the CAT-SK.
The CAT-SK appears to be a valid assessment that can provide reliable or efficient measures of SK. If high reliability is needed, examiners can adopt the most reliable set of 40 items. If efficiency is the primary concern, they can adopt the most efficient set of 21 items.
The CAT-SK is a valid measure of SK with flexibility to meet examiners' needs.
由于精神分裂症患者的社会知识（SK）往往存在中度至重度缺陷，因此需要一种具有良好心理测量学特性的 SK 测量工具来评估他们。
开发一种用于评估精神分裂症患者 SK 的计算机化自适应测试（CAT）。
包括（1）SK 项目库的开发和验证，以及（2）CAT 最佳停止规则的确定这两个阶段。
两家精神病院。
通过方便抽样诊断为精神分裂症的 236 人。
计算机化自适应测试-社会知识（CAT-SK）。
使用 Rasch 分析对 SK 项目进行了检查。进行了 CAT 模拟，以确定实现高可靠性和高效率的最佳停止规则集。在删除不合适的项目后，剩下 71 个项目具有可接受的模型拟合（infit 和 outfit 均方 <1.4）且没有性别偏见。确定了两个不太理想的替代规则集。最有效的规则集使用 21 个项目来获得可接受的 Rasch 可靠性（.81）。最可靠的规则集使用 40 个项目来获得令人满意的 Rasch 可靠性（.88）。CAT-SK 分数与 SK 项目库分数之间的高相关性（r >.93）支持 CAT-SK 的同时效度。
CAT-SK 似乎是一种有效的评估方法，可以提供可靠或有效的 SK 测量结果。如果需要高可靠性，检查者可以采用最可靠的 40 项规则集。如果主要关注效率，他们可以采用最有效的 21 项规则集。
CAT-SK 是一种有效的 SK 测量方法，具有灵活性，可以满足检查者的需求。
