Most experts would agree that intelligence tests are "biased" in the sense that:
a. test performance is influenced by cultural experiences.
b. the reliability of intelligence tests is close to zero.
c. the heritability of intelligence is 100 percent.
d. numerical scores of intelligence serve to dehumanize individuals.
Answer: a. test performance is influenced by cultural experiences.
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If a small police department uses a cognitive ability test because a meta-analysis indicated cognitive ability is the best predictor of performance in the police academy, it is:
a. breaking the law b. using the Taylor-Russell method c. going to see a reduction in quality d. using validity generalization
In one set of studies, participants classified prototypes faster when the stimuli were presented to the right visual field, meaning that the:
A) right hemisphere received the input first. B) left hemisphere received the input first. C) participants did not receive any input. D) participants were not aware of their mistakes in classification.
Why did the U.S. Supreme Court find that the IQ cutoff score used in Florida was unconstitutional for deciding whether a person was intellectually disabled and therefore ineligible for the death penalty?
a. The intelligence test that Florida used was not valid for determining IQ. b. Florida did not consider the standard error of measurement of the test score. c. IQ isn’t a good measure of the degree of intellectual disability. d. Florida didn’t consider the other types of intelligence that weren’t measured by the test used.
The following is an example of a boy learning to weave handmade cloth. "The boy attempts a simple weaving pattern, the father corrects his mistakes, the boy tries again
When the boy gets it right, the father gives him a more complex pattern, thus raising the bar so that the boy continues to be challenged and his skills continue to improve." This scenario illustrates Lev Vygotsky's concept of ____. a. scaffolding b. zone of proximal development c. psychosocial moratorium d. cooperative learning