Given that nonexperimental datasets are likely to have treatments that have not been randomly assigned, what is likely to contribute to difference in average outcomes between groups with different treatment levels?
A) Some of those differences are driven by a selection bias
B) Non-normality of the underlying population distribution
C) Skewed perceptions of quality
D) Heteroskedasticity

Question

Quizplus · Accepted Answer

Nonexperimental datasets are likely to have treatments that have not been randomly assigned, thus selection bias is likely to contribute to differences in average outcomes between groups with different treatment levels.

Given That Nonexperimental Datasets Are Likely to Have Treatments That