List two reasons why it would be necessary to use a correlational design rather than a true experiment.

Question

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The Answer is There are two main reasons why it may be necessary to use a correlational design rather than a true experiment.

First, if it is not possible or ethical to manipulate the independent variable, then a correlational design may be the only option. For example, if the study is looking at the relationship between smoking and lung cancer, it would not be ethical to assign participants to smoke or not smoke. In this case, a correlational design would be necessary to examine the relationship between the two variables without manipulating them.

Second, if the research question is focused on examining the relationship between two variables as they naturally occur in the real world, then a correlational design would be more appropriate. For example, if a researcher wants to study the relationship between stress levels and academic performance in college students, it would be more relevant to use a correlational design to see how these variables are naturally related in the real world, rather than manipulating them in a controlled experimental setting.

List Two Reasons Why It Would Be Necessary to Use