Premium
Experience sampling method and the everyday experiences of adults with intellectual disability: A feasibility study
Author(s) -
Wilson Nathan J.,
Chen YuWei,
Mahoney Natasha,
Buchanan Angus,
Marks Anne,
Cordier Reinie
Publication year - 2020
Publication title -
journal of applied research in intellectual disabilities
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.056
H-Index - 63
eISSN - 1468-3148
pISSN - 1360-2322
DOI - 10.1111/jar.12753
Subject(s) - intellectual disability , psychology , proxy (statistics) , reliability (semiconductor) , context (archaeology) , perception , data collection , session (web analytics) , applied psychology , face validity , social psychology , clinical psychology , psychometrics , computer science , psychiatry , statistics , paleontology , power (physics) , physics , mathematics , quantum mechanics , machine learning , neuroscience , world wide web , biology
Background Experiences of people with intellectual disability are often reported by proxy, excluding the person's own perception. To assist people with intellectual disabilities ability to communicate their own experiences, the current study explored the feasibility, reliability and validity of experience sampling methods (ESMs) for people with intellectual disability. Method After a training session, 19 participants carried a mobile device for 7 consecutive days, answering a survey when prompted 7 times daily. Participants were interviewed at the end of data collection. Results Excluding incomplete entries, the response rate was 33.8%, varying by living arrangement and employment. Split‐half reliability and correlations among logically linked internal experiences demonstrated strong reliability and validity. Illustration of the context of responses supported face validity. Technological and content difficulties were discussed in interviews. Conclusions Experience sampling methods is feasible for some people with intellectual disability, providing valid and reliable information. Future research is needed to further improve feasibility.