Observational study
An observational study measures individuals without assigning treatments, so it can reveal associations but cannot by itself establish cause and effect.
In an observational study you record variables as they naturally occur and impose nothing on the subjects. For example, comparing heart health between people who already exercise and those who do not is observational. Because the groups may differ in other ways, called confounding variables, such a study can show an association but cannot prove one variable causes the other. Only a well-designed experiment supports a cause-and-effect conclusion.
More collecting data and study design terms, or browse the full statistics glossary.