Abstract

This meta-analysis is an investigation into anomalous perception (i.e., conscious identification of information without any conventional sensorial means). The technique used for eliciting an effect is the ganzfeld condition (a form of sensory homogenization that eliminates distracting peripheral noise). The database consists of peer-reviewed studies published between January 1974 and June 2020 inclusive. The overall effect size will be estimated using a frequentist and a Bayesian random-effect model. Moderators analyses will be used to examine the influence of level of experience of participants, the type of task and the peer-review level. Publication bias will be estimated by using four different tests. Trend analysis will be conducted with a cumulative meta-analysis and a meta-regression model with Year of publication as covariate.

Highlights

  • This meta-analysis is an investigation into anomalous perception

  • Any further responses from the reviewers can be found at the end of the article Introduction The possibility of identifying pictures or video clips without conventional means, in a ganzfeld environment, is a decades old controversy, dating back to the pioneering investigation of Charles Honorton, William Braud and Adrian Parker between 1974 and 1975 (Parker, 2017)

  • Reporting guidelines This study will follow the guidelines of the APA Meta-Analysis Reporting Standard (Appelbaum et al, 2018) and the Preferred Reporting Items for Systematic Review and Meta-Analysis Protocols (PRISMA-P, Moher et al, 2015)

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Summary

Introduction

This meta-analysis is an investigation into anomalous perception (i.e., conscious identification of information without any conventional sensorial means). The overall effect size will be estimated using a frequentist and a Bayesian random-effect model. Moderators analyses will be used to examine the influence of level of experience of participants, the type of task and the peer-review level. Added details about the calculation of the effect sizes and their standard errors Added peer-review level as a new moderator effect. Any further responses from the reviewers can be found at the end of the article Introduction The possibility of identifying pictures or video clips without conventional (sensorial) means, in a ganzfeld environment, is a decades old controversy, dating back to the pioneering investigation of Charles Honorton, William Braud and Adrian Parker between 1974 and 1975 (Parker, 2017)

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