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This question is related to What is the current "accepted" science behind dream interpretation?, but here I am asking something more specific.

Dream reports, also known as sleep mentation reports, are a common tool in dream research (eg, McNamara et al, 2010), which in turn, is mostly useful for learning about dreaming and sleep in general. However, I am interested in whether such reports could be useful for learning something about the specific individual. My question therefore is:

Does there exist a validated instrument that takes dream content (eg, in the form of sleep mentation reports) as input, and using a (blinded) expert analysis or better yet, computer program, predicts something useful at the individual level?

For example, can dream content predict something about the subject's personality, intelligence, psychopathology, physical health, emotional state, recent events, unresolved problems, life course, or anything else of value, using a validated instrument?

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    $\begingroup$ This is an interesting find. The related question you linked categorically states you cannot accurately interpret dreams into any specific meaning. This was also discussed in my answer at psychology.meta.stackexchange.com/a/2248/7604. But, it is interesting reading through the summarisation put together on the possible uses of sleep mentation reports e.g. determining possible severity of PTSD currently being suffered. Will have to do some digging on this when I get the chance. Will be interesting what comes out of this from others too. $\endgroup$ Nov 24 at 5:28
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    $\begingroup$ Note, your question is unclear, because you are asking 2 questions. You are asking a separate question that pertains to the design of the research study, not the measure itself, in asking if there is research that uses theses validated measures that applies a double-blind or single blind design. See below for more info. $\endgroup$ Nov 25 at 12:39
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    $\begingroup$ @studentstephan Where am I asking that? $\endgroup$
    – Arnon Weinberg
    Nov 26 at 18:36

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