Psychophysiology in Political Decision-Making Research
Psychophysiology in Political Decision-Making Research
- Mathew V. Hibbing, Mathew V. HibbingDepartment of Political Science, University of California, Merced
- Melissa N. BakerMelissa N. BakerDepartment of Political Science, University of California, Merced
- and Kathryn A. HerzogKathryn A. HerzogDepartment of Political Science, University of California, Merced
Summary
Since the early 2010s, political science has seen a rise in the use of physiological measures in order to inform theories about decision-making in politics. A commonly used physiological measure is skin conductance (electrodermal activity). Skin conductance measures the changes in levels of sweat in the eccrine glands, usually on the fingertips, in order to help inform how the body responds to stimuli. These changes result from the sympathetic nervous system (popularly known as the fight or flight system) responding to external stimuli. Due to the nature of physiological responses, skin conductance is especially useful when researchers hope to have good temporal resolution and make causal claims about a type of stimulus eliciting physiological arousal in individuals. Researchers interested in areas that involve emotion or general affect (e.g., campaign messages, political communication and advertising, information processing, and general political psychology) may be especially interested in integrating skin conductance into their methodological toolbox. Skin conductance is a particularly useful tool since its implicit and unconscious nature means that it avoids some of the pitfalls that can accompany self-report measures (e.g., social desirability bias and inability to accurately remember and report emotions). Future decision-making research will benefit from pairing traditional self-report measures with physiological measures such as skin conductance.
Keywords
Subjects
- Political Behavior
- Political Psychology
- Political Values, Beliefs, and Ideologies
- Public Opinion
- Quantitative Political Methodology