Revealing interdyad differences in naturally occurring staff reactions to challenging behaviour of clients with severe or profound intellectual disabilities by means of Clusterwise Hierarchical Classes Analysis (HICLAS)
Article first published online: 19 AUG 2013
© 2013 MENCAP and International Association of the Scientific Study of Intellectual and Developmental Disabilities and John Wiley & Sons Ltd
Journal of Intellectual Disability Research
Volume 58, Issue 11, pages 1045–1059, November 2014
How to Cite
Wilderjans, T. F., Lambrechts, G., Maes, B. and Ceulemans, E. (2014), Revealing interdyad differences in naturally occurring staff reactions to challenging behaviour of clients with severe or profound intellectual disabilities by means of Clusterwise Hierarchical Classes Analysis (HICLAS). Journal of Intellectual Disability Research, 58: 1045–1059. doi: 10.1111/jir.12076
- Issue published online: 10 OCT 2014
- Article first published online: 19 AUG 2013
- Manuscript Accepted: 29 JUN 2013
- clustering dyads;
- Clusterwise HICLAS;
- individual/interdyad differences;
- observation study in a naturalistic setting;
- prototypical patterns of challenging behaviours and staff reactions;
- severe or profound intellectual disabilities
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.