Asked by Jossie Hanson on Jun 22, 2024
Verified
A researcher administers a certain intelligence test to a large sample of adults. The test contains verbal, numerical, and spatial subtests. The researcher finds a correlation coefficient of .65 between verbal and numerical scores, a correlation coefficient of .75 between numerical and spatial scores, and a correlation of .55 between verbal and spatial scores. Do these data support the hierarchical model of intelligence? Why or why not?
A) No. The hierarchical model predicts that scores on the subtests would be unrelated to each other.
B) Yes. Scores on all the subtests are related to each other, but the correlation coefficients aren't extremely high.
C) No. The hierarchical model predicts that scores on two of the subtests would be very strongly related, whereas scores on the third subtest would be unrelated to scores on either of the other two.
D) No. The hierarchical model predicts that the correlation coefficients would be very close to 1.00.
Hierarchical Model
A way of organizing objects, ideas, or information in a structure where items are ranked according to levels of importance or authority.
Correlation Coefficients
Statistical measures that indicate the extent to which two or more variables fluctuate together.
- Expound upon the layered paradigm of cognitive abilities.
- Decode the implications of correlation coefficients in relation to intelligence testing scenarios.
Verified Answer
DS
Donley StapletonJun 28, 2024
Final Answer :
B
Explanation :
The data supports the hierarchical model of intelligence because scores on all the subtests are related to each other, but the correlation coefficients aren't extremely high. The hierarchical model does not predict that scores on the subtests would be unrelated to each other (A), or that the correlation coefficients would be very close to 1.00 (D). It also does not predict that scores on two of the subtests would be very strongly related, whereas scores on the third subtest would be unrelated to scores on either of the other two (C).
Learning Objectives
- Expound upon the layered paradigm of cognitive abilities.
- Decode the implications of correlation coefficients in relation to intelligence testing scenarios.