Why not use the results of correlational research?

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Why not use the results of correlational research?

Correlational research is a type of research that examines the relationship between two or more variables. It is a useful tool for understanding the association between variables and can provide valuable insights into complex phenomena. However, there are several limitations to consider when using correlational research:

Correlation does not imply causation: Just because two variables are correlated does not necessarily mean that one causes the other. For example, a positive correlation between ice cream sales and drowning deaths may be due to both variables being influenced by a third variable (e.g., warm weather).


Limited generalizability: Correlational studies can only provide information about the relationship between variables in the specific sample studied. It may not be possible to generalize the findings to other populations or contexts.


Self-report bias: In many correlational studies, participants are asked to report on their own behavior or attitudes. This self-report data may be influenced by biases such as social desirability, which can distort the results.


Lack of control: In correlational research, the researcher does not manipulate the variables being studied. This means that it is not possible to establish a cause-and-effect relationship between the variables.


Overall, it is important to consider the limitations of correlational research when interpreting and applying the findings.

Why not use the results of correlational research?
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