4 ms·

What are some examples?

• derbOac 6y ago
  Depends on the domain but in general it relies on item responses that people in general tend to think are typical of some "condition" (in a broad sense of the term) but actually are not. This requires a lot of data collection usually. So, for example, items that people tend to think would be incorrectly responded to by people with dementia, but are actually easy for people with dementia to respond to. Or items that sound like they'd be endorsed by people with severe mental illness but are not. In more sophisticated implementations, it's not just responses to these types of items, but multivariate patterns of responses that are unusual that are flagged. So, for example, not getting items increasingly incorrect with increasing difficulty (i.e., getting easy items incorrect and hard items correct) might be flagged, just for one example. Specific examples are hard to list because (a) it would violate test copyright and/or other ethical issues, and (b) are sort of idiosyncratic and require actual data on the items. With cognitive testing for example, lots of times certain types of memory are intact in severe brain injury but people who are faking don't realize it.