Lurking variables
Definition
Lurking variables are variables that are not included as explanatory or response variables in a study but can influence the interpretation of relationships between these variables. They can create false associations or mask true relationships.
5 Must Know Facts For Your Next Test
- Lurking variables can lead to biased results if not accounted for in the experimental design.
- They are different from confounding variables, although both affect the validity of an experiment's findings.
- Identifying and controlling lurking variables is crucial for ensuring accurate conclusions in statistical studies.
- Lurking variables can be controlled by randomization, blocking, or matched pairs design.
- Failure to consider lurking variables can result in incorrect conclusions about causality between studied factors.
Review Questions
- What is the main difference between a lurking variable and a confounding variable?
- Why is it important to identify and control for lurking variables in an experiment?
- List two methods used to control the effects of lurking variables.
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Related terms
Confounding Variable: A variable that influences both the dependent variable and independent variable, causing a spurious association.
Randomization: A technique used to control for lurking variables by randomly assigning subjects to different treatment groups.
Blocking: A method used in experimental design where subjects are divided into homogeneous groups before treatments are applied to control for lurking variables.
