Department of Psychology, George Mason University, 10340 Democracy Lane, Fairfax, VA 22033, United States.
Res Dev Disabil. 2011 Nov-Dec;32(6):2309-20. doi: 10.1016/j.ridd.2011.07.035. Epub 2011 Sep 1.
Progress in clinical research and in empirically supported interventions in the area of psychopathology in intellectual disabilities (ID) depends on high-quality assessment instruments. To this end, psychometric properties of four instruments were examined: the Aberrant Behavior Checklist (ABC), the Assessment of Dual Diagnosis (ADD), the Anxiety, Depression and Mood Scale (ADAMS), and the Social Performance Survey Schedule (SPSS). Data were collected in two community-based groups of adults with mild to profound ID (n = 263). Subscale reliability (internal consistency) ranged from fair to excellent for the ABC, the ADAMS, and the SPSS (mean coefficient α across ABC subscales was .87 (ranging from fair to excellent), the ADAMS subscales .83 (ranging from fair to good), and the SPSS subscales .91 (range from good to excellent). The ADD subscales had generally lower reliability scores with a mean of .59 (ranging from unacceptable to good). Convergent and discriminant validity was determined by bivariate Spearman ρ correlations between subscales of one instrument and the subscales of the other three instruments. For the most part, all four instruments showed solid convergent and discriminant validity. To examine the factorial validity, Confirmatory Factor Analyses (CFA) were attempted with the inter-item covariance matrix of each instrument. Generally, the data did not show good fits with the measurement models for the SPSS, ABC, or the ADAMS (CFA analyses with the ADD would not converge). However, most of the items on these three instruments had significant loadings on their respective factors.
在智力障碍(ID)的精神病理学领域,临床研究和经验支持干预的进展取决于高质量的评估工具。为此,我们考察了四种工具的心理测量学特性:异常行为检查表(ABC)、双重诊断评估(ADD)、焦虑、抑郁和情绪量表(ADAMS)和社会表现调查时间表(SPSS)。数据是从两个以社区为基础的轻度至重度 ID 成人组(n=263)中收集的。ABC、ADAMS 和 SPSS 的子量表信度(内部一致性)从良好到优秀不等(ABC 子量表的平均系数α为.87(范围从良好到优秀),ADAMS 子量表为.83(范围从良好到良好),SPSS 子量表为.91(范围从良好到优秀)。ADD 子量表的可靠性得分通常较低,平均值为.59(范围从不可接受到良好)。通过对一个工具的子量表与其他三个工具的子量表之间的二元 Spearman ρ 相关性来确定聚合和判别效度。在大多数情况下,所有四个工具都显示出可靠的聚合和判别效度。为了检验因子有效性,尝试对每个工具的项目间协方差矩阵进行验证性因素分析(CFA)。总的来说,数据与 SPSS、ABC 或 ADAMS 的测量模型不匹配(ADD 的 CFA 分析无法收敛)。然而,这三个工具的大多数项目在各自的因子上都有显著的负荷。