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It's unclear if the idea of 'translation' from one personality framework to another is a meaningful concept. A score on any given personality factor represents some weighted combination of measures - usually endorsement of questionnaire items like "I am the life of the party", etc. As such, every factor score is a unique variable that probably doesn't ...

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In attitude psychology Likert response scales are still the norm. They do have their problems (and there are a good deal of problems), but many of them can be addressed satisfactorily. The acquiescence bias you mention is a small issue. It can be balanced out by reverse coding roughly half of your test items. The acquiescence bias then becomes random noise ...

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To clear this up, there is a distinction between phase difference and phase synchronization. Phase synchronization = is the phase difference constant with time? One crude way to measure phase synchronization would be to partition long signals $x(t)$ and $y(t)$ into many disjoint windows, compute the phase difference in each window using either Method 1 or ...

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Methods 1 and 2 are matematically equivalent, but I have experienced that method 2 is computationally more efficient for high sampling rates and large ranges of delay (notice that method 2 does not require a loop).

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In most cases, increasing the number of items on a personality test will increase the reliability of measurement (see the Spearman-Brown formula). Thus, there is a trade-off between test length and reliability. There are several 10 item measures of the Big 5. Notably, the TIPI and BFI-10 (Rammstedt et al, 2007). However, I would strongly discourage anyone ...

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Your definition of intelligence ("...the ability to learn and research on any subject...") is exactly what IQ tests measures; general abstraction and reasoning ability. A nice article about the validity of IQ and the flimsy scientific basis of multiple intelligences. That is surely the best way to measure intelligence. However, IQ tests aren't completely ...

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