Myron Tsikandilakis , Persefoni Bali , Alexander Karlis , Pierre-Alexis Mével , Christopher Madan , Jan Derrfuss , Alison Milbank
{"title":"无偏见的个体无意识:基本原理、复制和发展应用","authors":"Myron Tsikandilakis , Persefoni Bali , Alexander Karlis , Pierre-Alexis Mével , Christopher Madan , Jan Derrfuss , Alison Milbank","doi":"10.1016/j.crbeha.2023.100109","DOIUrl":null,"url":null,"abstract":"<div><p>Unbiased individual unconsciousness is a methodology that involves non-parametric receiver operating characteristics and Bayesian analyses and can enable a researcher to define subjective thresholds for 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 manual for this methodology. We include empirical illustrations, open-source and ready-to-use methodological, mathematical and statistical coding scripts and step-by-step instructions for replicating key parts or the entire method. We discuss the potential contributions and the developing applications of individual metrics for unconsciousness.</p></div>","PeriodicalId":72746,"journal":{"name":"Current research in behavioral sciences","volume":"4 ","pages":"Article 100109"},"PeriodicalIF":0.0000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Unbiased individual unconsciousness: Rationale, replication and developing applications\",\"authors\":\"Myron Tsikandilakis , Persefoni Bali , Alexander Karlis , Pierre-Alexis Mével , Christopher Madan , Jan Derrfuss , Alison Milbank\",\"doi\":\"10.1016/j.crbeha.2023.100109\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Unbiased individual unconsciousness is a methodology that involves non-parametric receiver operating characteristics and Bayesian analyses and can enable a researcher to define subjective thresholds for 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 manual for this methodology. We include empirical illustrations, open-source and ready-to-use methodological, mathematical and statistical coding scripts and step-by-step instructions for replicating key parts or the entire method. We discuss the potential contributions and the developing applications of individual metrics for unconsciousness.</p></div>\",\"PeriodicalId\":72746,\"journal\":{\"name\":\"Current research in behavioral sciences\",\"volume\":\"4 \",\"pages\":\"Article 100109\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Current research in behavioral sciences\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2666518223000141\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"Psychology\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Current research in behavioral sciences","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2666518223000141","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"Psychology","Score":null,"Total":0}
Unbiased individual unconsciousness: Rationale, replication and developing applications
Unbiased individual unconsciousness is a methodology that involves non-parametric receiver operating characteristics and Bayesian analyses and can enable a researcher to define subjective thresholds for 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 manual for this methodology. We include empirical illustrations, open-source and ready-to-use methodological, mathematical and statistical coding scripts and step-by-step instructions for replicating key parts or the entire method. We discuss the potential contributions and the developing applications of individual metrics for unconsciousness.