Common Errors in Interpretation of Correlation, Causation, and Association in Research

Nandivada, Vedanth (2023) Common Errors in Interpretation of Correlation, Causation, and Association in Research. At Right Angles. pp. 13-18. ISSN 2582-1873

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Abstract

During research and data analysis, several questions arise regarding the relationships between variables. For example: In what way are the two variables related? Are they dependent on each other? Is there a cause-and-effect relationship? It is easy to misinterpret the relationships between variables from an experiment (Bewick et al., 2003). For example, consider the terms correlation, causation and association; they refer to the nature of relationships between variables. While correlation between two variables can imply association, it may not always lead to a causal effect of an independent variable on the dependent variable.

Item Type:	Articles in APF Magazines
Authors:	Nandivada, Vedanth
Document Language:	Language English
Uncontrolled Keywords:	Statistics, subjectivity, objectivity, association, cause-and-effect, errors, misinterpretation
Subjects:	Natural Sciences > Mathematics
Divisions:	Azim Premji University > University Publications > At Right Angles
Full Text Status:	Public
URI:	http://publications.azimpremjiuniversity.edu.in/id/eprint/4879
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