School of Psychology, Flinders University.
Psychol Assess. 2014 Mar;26(1):215-26. doi: 10.1037/a0034472. Epub 2014 Feb 3.
The Autism Detection in Early Childhood (ADEC; Young, 2007) was developed as a Level 2 clinician-administered autistic disorder (AD) screening tool that was time-efficient, suitable for children under 3 years, easy to administer, and suitable for persons with minimal training and experience with AD. A best estimate clinical Diagnostic and Statistical Manual of Mental Disorders (4th ed., text rev.; DSM-IV-TR; American Psychiatric Association, 2000) diagnosis of AD was made for 70 children using all available information and assessment results, except for the ADEC data. A screening study compared these children on the ADEC with 57 children with other developmental disorders and 64 typically developing children. Results indicated high internal consistency (α = .91). Interrater reliability and test-retest reliability of the ADEC were also adequate. ADEC scores reliably discriminated different diagnostic groups after controlling for nonverbal IQ and Vineland Adaptive Behavior Composite scores. Construct validity (using exploratory factor analysis) and concurrent validity using performance on the Autism Diagnostic Observation Schedule (Lord et al., 2000), the Autism Diagnostic Interview-Revised (Le Couteur, Lord, & Rutter, 2003), and DSM-IV-TR criteria were also demonstrated. Signal detection analysis identified the optimal ADEC cutoff score, with the ADEC identifying all children who had an AD (N = 70, sensitivity = 1.0) but overincluding children with other disabilities (N = 13, specificity ranging from .74 to .90). Together, the reliability and validity data indicate that the ADEC has potential to be established as a suitable and efficient screening tool for infants with AD.
儿童自闭症早期检测(ADEC;Young,2007)是作为一种二级临床医生管理的自闭症障碍(AD)筛查工具而开发的,它具有时间效率高、适用于 3 岁以下儿童、易于管理、适合具有最少 AD 培训和经验的人员等特点。使用所有可用信息和评估结果对 70 名儿童进行了最佳估计临床精神疾病诊断和统计手册(第 4 版,文本修订版;DSM-IV-TR;美国精神病学协会,2000)AD 诊断,除了 ADEC 数据。一项筛查研究比较了这些儿童的 ADEC 与 57 名患有其他发育障碍的儿童和 64 名正常发育的儿童。结果表明,内部一致性很高(α=0.91)。ADEC 的评分也具有足够的评分者间信度和测试-重测信度。在控制非言语智商和文兰适应行为综合评分后,ADEC 分数可靠地区分了不同的诊断组。使用探索性因素分析进行结构效度(使用探索性因素分析)和使用自闭症诊断观察量表(Lord 等人,2000)、自闭症诊断访谈修订版(Le Couteur、Lord 和 Rutter,2003)和 DSM-IV-TR 标准进行的同时效度也得到了证明。信号检测分析确定了最佳的 ADEC 截止分数,ADEC 确定了所有患有 AD 的儿童(N=70,灵敏度=1.0),但也包括了患有其他残疾的儿童(N=13,特异性范围为 0.74 至 0.90)。综合可靠性和有效性数据表明,ADEC 有可能成为一种适合且有效的 AD 婴儿筛查工具。