Correlation & Diversity Index Calculators
Quantify how two variables move together, and how varied a group is.
Correlation measures the strength and direction of a relationship between two variables. It is a description of association only: a strong correlation does not by itself show that one variable causes the other.
This category also includes effect-size and diversity measures, which summarise the size of a difference or the variety within a group in a single number.
Calculators in this category
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- Correlation & DiversityCohen's D CalculatorComing soon
- Correlation & DiversityCorrelation Coefficient CalculatorComing soon
- Correlation & DiversityCorrelation Coefficient Calculator (Matthews)Coming soon
- Correlation & DiversityCovariance CalculatorComing soon
- Correlation & DiversityPearson Correlation CalculatorComing soon
- Correlation & DiversityQuiz: Simpson's Diversity Index CalculatorComing soon
- Correlation & DiversitySimpson's Diversity Index CalculatorComing soon
- Correlation & DiversitySpearman's Correlation CalculatorComing soon
Key concepts
- Correlation coefficient
- A number between −1 and 1. Values near either end indicate a strong linear relationship, and values near 0 indicate little linear relationship.
- Rank correlation
- Uses the ranks of values rather than the values themselves, so it can capture relationships that are consistently increasing or decreasing but not straight-line.
- Correlation is not causation
- Two variables can move together because of a shared cause or by coincidence.
Frequently asked questions
Does a high correlation mean one variable causes the other?
No. Correlation only shows that two variables tend to move together. Establishing cause requires evidence beyond correlation, such as a controlled experiment or careful study design.