APS
2024 APS Annual Convention · 2024
Increased Age Predicted Increased Susceptibility to the Framing Effect: Applying the Johnson-Neyman Technique on a Large Demographically Diverse Sample
- Lance Xu
Johns Hopkins University
Abstract
Addressing a gap in the literature on the relation between age and framing, we used regression analyses and the Johnson-Neyman technique, the first framing study to do so, to analyze a diverse sample (N=696) of participants. Advanced age predicted an increase in the susceptibility in all three framing types.
Decision Making