Inductive reasoning aptitude  

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Inductive reasoning is a measurable aptitude for how well a person can identify a pattern within a large amount of data. It involves applying the rules of logic when inferring general principles from a constellation of particulars. Measurement is generally done in a timed test by showing four pictures or words and asking the test taker to identify which of the pictures or words does not belong in the set. The test taker is shown a large number of sets of various degrees of difficulty. The measurement is made by timing how many of these a person can properly identify in a set period of time. The test resembles the game 'Which of These Is Not Like the Others'.

Here is an example question:

Find the set of letters that doesn’t belong with the other sets.

A) cdef B) mnpo C) hikj D) vwyx

(The correct answer could be A since the others don't go in alphabetical order, or D since unlike the other answers the set contains no vowels)

Inductive reasoning is very useful for scientists, auto mechanics, system integrators, lawyers, network engineers, medical doctors, system administrators and members of all fields where substantial diagnostic or data interpretation work is needed. Inductive reasoning aptitude is also useful for learning a graphical user interface quickly, because highly inductive people are very good at seeing others' categorization schemes. Inductive reasoning aptitude is often counter-productive in fields like sales where tolerance is very important, because highly inductive people tend to be good at seeing faults in others.

Inductive Reasoning Aptitude is also called differentiation or inductive learning ability.

See also





Unless indicated otherwise, the text in this article is either based on Wikipedia article "Inductive reasoning aptitude" or another language Wikipedia page thereof used under the terms of the GNU Free Documentation License; or on research by Jahsonic and friends. See Art and Popular Culture's copyright notice.

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