Wilderjans T F, Lambrechts G, Maes B, Ceulemans E
Methodology of Educational Sciences Research Group, Psychology and Educational Sciences, KU Leuven, Leuven, Belgium.
J Intellect Disabil Res. 2014 Nov;58(11):1045-59. doi: 10.1111/jir.12076. Epub 2013 Aug 19.
Investigating interdyad (i.e. couples of a client and their usual caregiver) differences in naturally occurring patterns of staff reactions to challenging behaviour (e.g. self-injurious, stereotyped and aggressive/destructive behaviour) of clients with severe or profound intellectual disabilities is important to optimise client-staff interactions. Most studies, however, fail to combine a naturalistic setup with a person-level analysis, in that they do not involve a careful inspection of the interdyad differences and similarities.
In this study, the recently proposed Clusterwise Hierarchical Classes Analysis (HICLAS) method is adopted and applied to data of in which video fragments (recorded in a naturalistic setting) of a client showing challenging behaviour and the staff reacting to it were analysed. In a Clusterwise HICLAS analysis, the staff-client dyads are grouped into a number of clusters and the prototypical behaviour-reaction patterns that are specific for each cluster (i.e. interdyad differences and similarities) are revealed.
Clusterwise HICLAS discloses clear interdyad differences (and similarities) in the prototypical patterns of clients' challenging behaviour and the associated staff reactions, complementing and qualifying the results of earlier studies in which only general patterns were disclosed.
The usefulness and clinical relevance of Clusterwise HICLAS is demonstrated. In particular, Clusterwise HICLAS may capture idiosyncratic aspects of staff-client interactions, which may stimulate direct support workers to adopt person-centred support practices that take the specific abilities of the client into account.
调查重度或极重度智力残疾患者具有挑战性的行为(如自伤、刻板行为以及攻击/破坏性行为)发生时工作人员自然反应模式中的二元组差异(即服务对象及其日常照护者组成的二元组),对于优化服务对象与工作人员之间的互动非常重要。然而,大多数研究未能将自然主义设置与人层面的分析相结合,因为它们没有仔细检查二元组之间的差异和相似性。
在本研究中,采用了最近提出的聚类分层类别分析(HICLAS)方法,并将其应用于分析服务对象出现具有挑战性的行为以及工作人员对此做出反应的视频片段(在自然环境中录制)的数据。在聚类HICLAS分析中,工作人员 - 服务对象二元组被分组为多个聚类,并揭示每个聚类特有的典型行为 - 反应模式(即二元组之间的差异和相似性)。
聚类HICLAS揭示了服务对象具有挑战性的行为的典型模式以及相关工作人员反应中明显的二元组差异(和相似性),对早期仅揭示一般模式的研究结果进行了补充和限定。
证明了聚类HICLAS的实用性和临床相关性。特别是,聚类HICLAS可能捕捉到工作人员与服务对象互动中的特质方面,这可能会促使直接支持人员采用以服务对象为中心的支持实践,将服务对象的特定能力考虑在内。