Riley Barth B, Conrad Kendon J, Bezruczko Nikolaus, Dennis Michael L
Department of Disability and Human Development, M/C 626, University of Illinois at Chicago, 1640 W. Roosevelt Rd., Chicago, IL 60608, USA.
J Appl Meas. 2007;8(1):48-64.
Substance abuse treatment programs are being pressed to measure and make clinical decisions more efficiently about an increasing array of problems. This computerized adaptive testing (CAT) simulation examined the relative efficiency, precision and construct validity of different starting and stopping rules used to shorten the Global Appraisal of Individual Needs' (GAIN) Substance Problem Scale (SPS) and facilitate diagnosis based on it. Data came from 1,048 adolescents and adults referred to substance abuse treatment centers in 5 sites. CAT performance was evaluated using: (1) average standard errors, (2) average number of items, (3) bias in person measures, (4) root mean squared error of person measures, (5) Cohen's kappa to evaluate CAT classification compared to clinical classification, (6) correlation between CAT and full-scale measures, and (7) construct validity of CAT classification vs. clinical classification using correlations with five theoretically associated instruments. Results supported both CAT efficiency and validity.
药物滥用治疗项目正面临着越来越大的压力，需要对越来越多的问题进行测量并更高效地做出临床决策。这种计算机自适应测试（CAT）模拟研究了用于缩短《个体需求综合评估》（GAIN）药物问题量表（SPS）并在此基础上促进诊断的不同起始和停止规则的相对效率、精度和结构效度。数据来自5个地点转介到药物滥用治疗中心的1048名青少年和成年人。使用以下指标评估CAT的性能：（1）平均标准误差，（2）平均项目数，（3）个体测量偏差，（4）个体测量的均方根误差，（5）与临床分类相比评估CAT分类的科恩kappa系数，（6）CAT与全量表测量之间的相关性，以及（7）使用与五个理论相关工具的相关性评估CAT分类与临床分类的结构效度。结果支持了CAT的效率和效度。
