Question 39

Dr. Gregory is most likely using factor analysis.

Factor analysis is a statistical method that identifies groups or clusters of related variables, making it the appropriate technique for Dr. Gregory's research on abilities in intelligence.

A) Factor analysis

This option is correct because factor analysis is specifically designed to identify underlying relationships between variables, allowing researchers to group abilities into clusters based on their correlations. In the context of intelligence research, this method helps in understanding how different cognitive abilities are interrelated.

B) Standardization

Standardization refers to the process of converting scores into a common format, often by adjusting for mean and variance. While it is a useful technique for comparing scores across different tests, it does not identify clusters of abilities and is therefore not relevant to Dr. Gregory's research focus.

C) Chi-squared test of independence

The chi-squared test of independence is a statistical test used to determine if there is a significant association between two categorical variables. This technique does not involve clustering abilities and is not applicable to the context of analyzing intelligence abilities as described in the question.

D) Criterion testing

Criterion testing involves assessing performance against a specific standard or criterion, often used in evaluating tests or assessments. This approach does not identify groupings or clusters of abilities and is not suitable for the type of research Dr. Gregory is conducting.

Conclusion

Factor analysis is definitively the correct choice because it directly addresses the need to identify clusters of abilities in intelligence research. The other options—standardization, chi-squared test of independence, and criterion testing—do not serve the purpose of grouping variables and are therefore not applicable in this context.