In quantitative research, causality is defined as the relation between an occurrence, the cause, and the consequent occurrence, the effect, in that the effect is as a result of the cause, e.g., the hot summer weather leads to an increase in cream sales. Correlation is the degree of the dependence of two or more variables, e.g., cigarette smoking and lung cancer disease.
Explain the difference between causality and correlation in quantitative analysis.
Answer by Academic.tip's expert
An answer to this question is provided by one of our experts. Let us know how much you liked it and give it a rating.
Cite this page
Select a citation style:
References
Academic.Tips. (2021) 'Explain the difference between causality and correlation in quantitative analysis'. 22 July.
Reference
Academic.Tips. (2021, July 22). Explain the difference between causality and correlation in quantitative analysis. https://academic.tips/question/explain-the-difference-between-causality-and-correlation-in-quantitative-analysis/
References
Academic.Tips. 2021. "Explain the difference between causality and correlation in quantitative analysis." July 22, 2021. https://academic.tips/question/explain-the-difference-between-causality-and-correlation-in-quantitative-analysis/.
1. Academic.Tips. "Explain the difference between causality and correlation in quantitative analysis." July 22, 2021. https://academic.tips/question/explain-the-difference-between-causality-and-correlation-in-quantitative-analysis/.
Bibliography
Academic.Tips. "Explain the difference between causality and correlation in quantitative analysis." July 22, 2021. https://academic.tips/question/explain-the-difference-between-causality-and-correlation-in-quantitative-analysis/.
Work Cited
"Explain the difference between causality and correlation in quantitative analysis." Academic.Tips, 22 July 2021, academic.tips/question/explain-the-difference-between-causality-and-correlation-in-quantitative-analysis/.
Copy