Stage 1 Registered Report: Anomalous perception in a Ganzfeld condition - A meta-analysis of more than 40 years investigation [version 2; peer review: 1 approved, 2 approved with reservations]
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 noi...
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doaj-c08c816e099c44a6888978c815b3f71e2021-02-15T16:10:57ZengF1000 Research LtdF1000Research2046-14022020-10-01910.12688/f1000research.24868.230185Stage 1 Registered Report: Anomalous perception in a Ganzfeld condition - A meta-analysis of more than 40 years investigation [version 2; peer review: 1 approved, 2 approved with reservations]Patrizio E. Tressoldi0Lance Storm1Science of Consciousness Research Group, Università degli studi di Padova, Padova, ITALY, 35131, ItalySchool of Psychology, University of Adelaide, Adelaide, Australia, 5005, AustraliaThis 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.https://f1000research.com/articles/9-826/v2 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Patrizio E. Tressoldi Lance Storm |
spellingShingle |
Patrizio E. Tressoldi Lance Storm Stage 1 Registered Report: Anomalous perception in a Ganzfeld condition - A meta-analysis of more than 40 years investigation [version 2; peer review: 1 approved, 2 approved with reservations] F1000Research |
author_facet |
Patrizio E. Tressoldi Lance Storm |
author_sort |
Patrizio E. Tressoldi |
title |
Stage 1 Registered Report: Anomalous perception in a Ganzfeld condition - A meta-analysis of more than 40 years investigation [version 2; peer review: 1 approved, 2 approved with reservations] |
title_short |
Stage 1 Registered Report: Anomalous perception in a Ganzfeld condition - A meta-analysis of more than 40 years investigation [version 2; peer review: 1 approved, 2 approved with reservations] |
title_full |
Stage 1 Registered Report: Anomalous perception in a Ganzfeld condition - A meta-analysis of more than 40 years investigation [version 2; peer review: 1 approved, 2 approved with reservations] |
title_fullStr |
Stage 1 Registered Report: Anomalous perception in a Ganzfeld condition - A meta-analysis of more than 40 years investigation [version 2; peer review: 1 approved, 2 approved with reservations] |
title_full_unstemmed |
Stage 1 Registered Report: Anomalous perception in a Ganzfeld condition - A meta-analysis of more than 40 years investigation [version 2; peer review: 1 approved, 2 approved with reservations] |
title_sort |
stage 1 registered report: anomalous perception in a ganzfeld condition - a meta-analysis of more than 40 years investigation [version 2; peer review: 1 approved, 2 approved with reservations] |
publisher |
F1000 Research Ltd |
series |
F1000Research |
issn |
2046-1402 |
publishDate |
2020-10-01 |
description |
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. |
url |
https://f1000research.com/articles/9-826/v2 |
work_keys_str_mv |
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