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- W4313243921 abstract "Unbiased individual unconsciousness is a methodology that employs non-parametric receiver operating characteristics and Bayesian analyses to provide estimations for thresholds for subjective visual suppression. It can enable a researcher to define among brief durations (e.g., 8.33 or 16.67 or 25 ms), per participant and elicitor type, the threshold of presentation for which each participant is individually unconscious during masking. The outcomes of this method are then used in a subsequent experimental session that involves psychophysiological assessments and participant ratings to explore evidence for unconscious processing and emotional responsivity. Following collegial requests for a dedicated manuscript on the rationale and replication of this method, in this manuscript, we provide a thorough, comprehensive and reader-friendly tutorial-guide. We include empirical illustrations, open-source and ready-to-use methodological, mathematical and statistical coding scripts and step-by-step instructions for replicating this methodology. We discuss the potential contributions and the developing applications of individual unconsciousness in topical research." @default.
- W4313243921 created "2023-01-06" @default.
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- W4313243921 date "2022-12-28" @default.
- W4313243921 modified "2023-09-30" @default.
- W4313243921 title "Unbiased Individual Unconsciousness: Rationale, Replication and Developing Applications" @default.
- W4313243921 doi "https://doi.org/10.31234/osf.io/87r32" @default.
- W4313243921 hasPublicationYear "2022" @default.
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