Independent vs Dependent Variables
Statistical Relationships
Dependent and Independent Variables
Change in one variable relates to change in another
Relationships do not imply causation
Dependent Variable
Changes due to another variable
Not manipulated by researcher
Outcome/effect in cause-and-effect relationship
Independent Variable
Changes independently of another variable
Controlled/manipulated by researcher
Cause/predictor in a cause-and-effect relationship
Identifying Variables
Examples:
Offender age vs. time to reoffend (Age: Independent, Time: Dependent)
Fear of crime vs. gender (Fear: Dependent, Gender: Independent)
Socioeconomic status vs. perceived police legitimacy (SES: Independent, Legitimacy: Dependent)
COVID-19 Compliance Study
Dependent variable: Self-reported compliance with lockdown measures
Measured compliance index: 0 (non-compliance) to 5 (full compliance)
Independent variables:
Sanction risk: Perceived likelihood of detection
Health risks: Risk to self and others measured on a scale (1-5)
Severity of COVID-19 assessed on a scale (1-5)
Statistical Analysis
Regression analysis used to evaluate relationships
Significant variables identified with p-values
Summary includes R² and adjusted R² values for model fit
Summary Notes
Understand definitions of dependent and independent variables
Distinguish between the two for analysis purposes.