Issues concerning self-report data and population-based data sets involving people with intellectual disabilities.
Self-report works for concrete facts but not for feelings—always pair it with proxy data and flag the limits.
01Research in Context
What this study did
Emerson et al. (2013) wrote a methods paper. They looked at three common data sources for people with intellectual disability.
The sources were self-report, proxy answers, and big public data sets. The team warned that each source has built-in flaws.
What they found
The paper does not give new numbers. It says you should doubt self-report and proxy data.
Always list the limits of your measures when you write reports.
How this fits with other research
Schmidt et al. (2010) and Spriggs et al. (2015) show the same worry. Staff and family usually rate quality of life lower than the adults with ID rate themselves.
Jackson et al. (2025) seems to disagree. Older adults with ID could report their psychotropic meds almost perfectly when checked against pharmacy records. The gap shrinks when the topic is clear and concrete.
Berástegui et al. (2021) adds that youth with ID and their proxies agree even less. The younger the person, the shakier the match.
Why it matters
You now have a rule of thumb. Use self-report for simple, factual questions like pill names. Use both self and proxy for fuzzy topics like feelings or life satisfaction. Always write the limits in your session note or assessment report so future readers know the score may be off.
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02At a glance
03Original abstract
This article examines two methodological issues regarding ways of obtaining and analyzing outcome data for people with intellectual disabilities: (a) self-report and proxy-report data and (b) analysis of population-based data sets. Some people with intellectual disabilities have difficulties with self-reporting due to problems of understanding and communication. However, there are serious doubts about the validity of proxy data for subjective issues. One important challenge with secondary analysis of population-based data sets is the difficulty of accurately identifying survey participants with intellectual disabilities. In both areas examined, it is important to recognize these constraints when interpreting research based on such data.
Intellectual and developmental disabilities, 2013 · doi:10.1352/1934-9556-51.5.333