The best approach to examining associations and relationships between two variables is a: correlational study.
A nonexperimental research method known as correlational analysis analyses two variables and evaluates the statistical relationship (also known as the correlation) between them with little to no effort to control unrelated factors.
Researchers who are interested in statistical correlations between variables typically perform correlational studies rather than experiments for two main reasons. First, they don't think the statistical association is a cause-and-effect relationship.
The statistical link of interest is assumed to be causative, but the researcher cannot modify the independent variable because it is unfeasible, impractical, or immoral. This is the second reason why researchers would opt for a correlational study rather than an experiment.
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