Things to Ask Yourself:
- Is this a variable that the researchers deliberately introduced or that would have occurred regardless of the study?
- The independent variable is the cause, not the effect. So if researchers introduce something in the experiment, like an intervention, that's the independent variable. For observational studies, the independent variable is what was already present in the patients before the outcome that's being measured.
- If this is an experimental study, is this the variable impacted by the intervention?
- The independent variable should not be impacted by the other variables in the study, as it should be the cause of changes in the dependent variable, not the other way around.
Examples:
An observational study wants to know if patients who worked high stress jobs had more strokes. Having a high stress job is the independent variable. It's not really the variable that's being measured. It's the variable that may or may not cause strokes.
An experimental study wants to know if training soccer players on knee stability exercises reduces the number of injuries in a season. The knee stability training is the independent variable. Here, the researchers deliberately introduced training on knee stability exercises. It's not what they want to measure; they want to measure injuries. But this variable that they've introduced is what may or may not cause a reduction in injuries.