When identifiable subgroups (such as different ethnic groups) exist in a sample, it can be useful to compute the correlations found in each group because
A) subgroups represent outliers that must be taken into account when interpreting the results of the research.
B) if there are subgroup differences in correlations then the overall correlation will not accurately represent the results of the study.
C) subgroup differences in correlations is one indicator of multicollinearity in the data.
D) a large difference in subgroup correlations is an indicator of restriction in range.

Question

Quizplus · Accepted Answer

When subgroups exist in a sample, it is important to compute the correlations found in each group because subgroup differences in correlations may indicate that the overall correlation is not an accurate representation of the relationship being studied. This is because differences in correlations may be due to differences in the characteristics or experiences of each subgroup. By computing correlations for each subgroup, researchers can better understand the relationship being studied and identify whether there are subgroup differences that need to be accounted for in their analyses.

When Identifiable Subgroups (Such as Different Ethnic Groups) Exist in a Sample