Ramey Devon, Healy Olive, McEnaney Emma
School of Social Sciences, Education and Social Work, Queen's University Belfast, Belfast, UK.
School of Psychology, Trinity College Dublin, Dublin, Ireland.
Behav Anal Pract. 2022 Apr 12;16(1):194-209. doi: 10.1007/s40617-022-00710-y. eCollection 2023 Mar.
Improving quality of life (QoL) is the goal of behavior analytic services, but there can be barriers to assessing the QoL of autistic children due to characteristics inherent in the condition. Given that happiness is a fundamental element of QoL, previous research has relied on behavioral indicators of mood (e.g., smiling, crying) to evaluate the overall QoL of disabled individuals. However, the use of these traditional indices may not accurately reflect the emotional well-being of autistic individuals, who are known to engage in idiosyncratic mood indicators. The current study replicated selected procedures from Parsons et al. (2012) to identify and validate the unique mood indicators of young autistic children. The study showed that individualized indices of happiness and unhappiness could be operationally defined and reliably measured among these children. Key findings and limitations of this study are discussed, and the implications of these findings are presented.
The online version contains supplementary material available at 10.1007/s40617-022-00710-y.
提高生活质量(QoL)是行为分析服务的目标,但由于自闭症的固有特征,评估自闭症儿童的生活质量可能存在障碍。鉴于幸福是生活质量的基本要素,以往的研究依赖于情绪的行为指标(如微笑、哭泣)来评估残疾个体的整体生活质量。然而,使用这些传统指标可能无法准确反映自闭症个体的情绪健康状况,因为已知他们会表现出特殊的情绪指标。本研究重复了帕森斯等人(2012年)的部分程序,以识别和验证自闭症幼儿独特的情绪指标。研究表明,在这些儿童中,可以对幸福和不幸福的个性化指标进行操作性定义并可靠地测量。讨论了本研究的主要发现和局限性,并阐述了这些发现的意义。
在线版本包含可在10.1007/s40617-022-00710-y获取的补充材料。