Response variable

Definition

A response variable is the outcome or dependent variable that researchers measure in an experiment to determine the effect of treatments. It is what changes as a result of variations in the independent variable.

5 Must Know Facts For Your Next Test

1. The response variable is often denoted as 'Y' in statistical models.
2. It must be measurable and quantifiable to allow for proper analysis.
3. In experimental design, identifying the correct response variable is critical for drawing accurate conclusions.
4. Response variables can be continuous (e.g., weight, height) or categorical (e.g., pass/fail).
5. Ethical considerations include ensuring that the measurement of response variables does not harm participants.

Review Questions

• What distinguishes a response variable from an explanatory variable?
• Why is it important to clearly define your response variable before conducting an experiment?
• Give an example of a continuous and a categorical response variable.

Related terms

Explanatory Variable:

An explanatory variable, also known as an independent variable, is manipulated by researchers to observe its effect on the response variable.

Experimental Unit: The smallest division of experimental subjects receiving different treatments for data collection.

Confounding Variable: A confounding variable is an extraneous factor that affects both the explanatory and response variables, potentially skewing results.