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Using Inclusive Research Methods and the Housing Pathways Framework in Future Planning and Housing Research: A Pilot Study.

Authors :
Belperio, Irene
Rillotta, Fiona
Adam, Tim
Walker, Ruth
Hutchinson, Claire
Source :
Social Sciences (2076-0760); Mar2024, Vol. 13 Issue 3, p170, 15p
Publication Year :
2024

Abstract

Housing and future planning have been key areas of interest in intellectual and development disabilities research for a number of decades. However, the voices of adults with intellectual disabilities are underrepresented in this area of research. Furthermore, the use of inclusive research methods remains limited in the literature. This study sought to pilot the use of inclusive research approaches to investigate the viability of these methods and to begin to build an evidence base of inclusive research in this area of work. Inclusive data analysis and co-authorship approaches were used on a small qualitative dataset from a larger study investigating future planning and transitions out of the family home by adults with intellectual disabilities and their families in Australia. Three semi-structured interviews with adults with intellectual disabilities and family members regarding their housing preferences and planning were analysed using an inclusive data analysis approach following the principles of Interpretative Phenomenological Analysis. These were then further analysed using a plain language version of the housing pathways framework. The results of the pilot study will be used to inform the inclusive research methods used for the remainder of the project dataset. Overall, the use of inclusive methods to pilot a conceptual model to better understand qualitative data was found to be feasible. Small adjustments to the process and accessibility to better support engagement with the research process are recommended. Lastly, greater investigation into co-authorship approaches and options is suggested as a fruitful avenue of inquiry for future research. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
20760760
Volume :
13
Issue :
3
Database :
Complementary Index
Journal :
Social Sciences (2076-0760)
Publication Type :
Academic Journal
Accession number :
176387257
Full Text :
https://doi.org/10.3390/socsci13030170