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Bootstrapping the P300 in diagnostic psychophysiology: How many iterations are needed?
J Peter Rosenfeld1, Anne Ward1, Ewout H Meijer2
1Department of Psychology, Northwestern University, Evanston, Illinois, USA.
Psychophysiology
|December 8, 2016
Summary
For reliable psychophysiological research, 100 iterations are sufficient for bootstrap tests. This finding ensures stable participant classification in concealed information tests using P300 data.
Area of Science:
- Psychophysiology
- Cognitive Neuroscience
- Forensic Psychology
Background:
- Bootstrapping is frequently employed in psychophysiological research for participant classification.
- The optimal number of iterations for reliable bootstrap testing remains debated.
- P300 data from concealed information test paradigms are often analyzed using these methods.
Purpose of the Study:
- To determine the adequate number of iterations for stable bootstrap estimates in psychophysiological research.
- To compare bootstrap and permutation approaches in data analysis.
- To validate findings across multiple studies.
Main Methods:
- Reanalysis of P300 data from concealed information test paradigms.
- Comparison of bootstrap results using 100, 1,000, and 10,000 iterations.
- Distinction between bootstrap and permutation approaches.
Main Results:
- High correlation was observed between results from 100, 1,000, and 10,000 bootstrap iterations.
- 100 iterations proved adequate for generating stable and reliable bootstrap estimates.
- No significant discrepancies were found when comparing bootstrap and permutation methods.
Conclusions:
- A minimum of 100 iterations is sufficient for reliable bootstrap testing in psychophysiological research.
- The findings support the use of fewer iterations, enhancing computational efficiency.
- The study validates the robustness of the bootstrap method for P300 data analysis.
