Intelligence Measure
(Redirected from Intelligence Test)
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An Intelligence Measure is a performance test of an intelligent system's ability to perform an intelligence task.
- Context:
- output: Intelligence Score.
- It can range from being a Narrow Intelligence Measure to being a Cognition Measure.
- It an be a part of a broader Intelligence Assessment.
- Example(s):
- a Mathematical Performance Measure.
- a Linguistic Performance Measure.
- an IQ Measure.
- a Cognitive Measure, such as a Turing Test.
- an Emotional IQ Measure of ...
- a Chess Playing Measure of 2017
- a dog intelligence measure.
- a Musical Ability Measure.
- a World-Modeling Ability Measure.
- an Acting-In-The-World Measure.
- …
- Counter-Example(s):
- See: Expert Capability Test, Psychometric, Abstract Reasoning.
References
2009
- (WordNet, 2009) ⇒ http://wordnetweb.princeton.edu/perl/webwn?s=intelligence%20test
- S: (n) intelligence test, IQ test (a psychometric test of intelligence) "they used to think that intelligence is what an intelligence test tests"
2005
- (Johnson & Bourchard Jr., 2005) ⇒ Wendy Johnson, and Thomas J. Bouchard Jr. (2005). “The Structure of Human Intelligence: It is verbal, perceptual, and image rotation (VPR), not fluid and crystallized.” In: Intelligence, 33 393–416. doi:10.1016/j.intell.2004.12.002
- QUOTE: In a heterogeneous sample of 436 adult individuals who completed 42 mental ability tests, we evaluated the relative statistical performance of three major psychometric models of human intelligence — the Cattell–Horn fluid-crystallized model, Vernon's verbal–perceptual model, and Carroll's three-strata model. The verbal–perceptual model fit significantly better than the other two. We improved it by adding memory and higher-order image rotation factors. The results provide evidence for a four-stratum model with a g factor and three third-stratum factors. The model is consistent with the idea of coordination of function across brain regions and with the known importance of brain laterality in intellectual performance. We argue that this model is theoretically superior to the fluid-crystallized model and highlight the importance of image rotation in human intellectual function.