荷兰超自然信仰的流行程度、模式和预测因素:多分析法。

IF 2.9 3区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES Royal Society Open Science Pub Date : 2024-09-04 eCollection Date: 2024-09-01 DOI:10.1098/rsos.240049
S Hoogeveen, D Borsboom, Š Kucharský, M Marsman, D Molenaar, J de Ron, N Sekulovski, I Visser, M van Elk, E-J Wagenmakers
{"title":"荷兰超自然信仰的流行程度、模式和预测因素:多分析法。","authors":"S Hoogeveen, D Borsboom, Š Kucharský, M Marsman, D Molenaar, J de Ron, N Sekulovski, I Visser, M van Elk, E-J Wagenmakers","doi":"10.1098/rsos.240049","DOIUrl":null,"url":null,"abstract":"<p><p>Paranormal beliefs encompass a wide variety of phenomena, including the existence of supernatural entities such as ghosts and witches, as well as extraordinary human abilities such as telepathy and clairvoyance. In the current study, we used a nationally representative sample ( <math><mstyle><mi>N</mi> <mo>=</mo> <mn>2534</mn></mstyle> </math> ) to investigate the presence and correlates of paranormal beliefs among the secular Dutch population. The results indicated that most single paranormal phenomena (e.g. belief in clairvoyance) are endorsed by 10-20% of Dutch respondents; however, 55.6% of respondents qualify as paranormal believers based on the preregistered criterion that they believe in at least one phenomenon with considerable certainty. In addition, we invited four analysis teams with different methodological expertise to assess the structure of paranormal beliefs using traditional factor analysis, network analysis, Bayesian network analysis and latent class analysis (LCA). The teams' analyses indicated adequate fit of a four-factor structure reported in a 1985 study, but also emphasized different conclusions across techniques; network analyses showed evidence against strong connectedness within most clusters, and suggested a five-cluster structure. The application of various analytic techniques painted a nuanced picture of paranormal beliefs and believers in The Netherlands and suggests that despite increased secularization, subgroups of the general population still believe in paranormal phenomena.</p>","PeriodicalId":21525,"journal":{"name":"Royal Society Open Science","volume":null,"pages":null},"PeriodicalIF":2.9000,"publicationDate":"2024-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11371428/pdf/","citationCount":"0","resultStr":"{\"title\":\"Prevalence, patterns and predictors of paranormal beliefs in The Netherlands: a several-analysts approach.\",\"authors\":\"S Hoogeveen, D Borsboom, Š Kucharský, M Marsman, D Molenaar, J de Ron, N Sekulovski, I Visser, M van Elk, E-J Wagenmakers\",\"doi\":\"10.1098/rsos.240049\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Paranormal beliefs encompass a wide variety of phenomena, including the existence of supernatural entities such as ghosts and witches, as well as extraordinary human abilities such as telepathy and clairvoyance. In the current study, we used a nationally representative sample ( <math><mstyle><mi>N</mi> <mo>=</mo> <mn>2534</mn></mstyle> </math> ) to investigate the presence and correlates of paranormal beliefs among the secular Dutch population. The results indicated that most single paranormal phenomena (e.g. belief in clairvoyance) are endorsed by 10-20% of Dutch respondents; however, 55.6% of respondents qualify as paranormal believers based on the preregistered criterion that they believe in at least one phenomenon with considerable certainty. In addition, we invited four analysis teams with different methodological expertise to assess the structure of paranormal beliefs using traditional factor analysis, network analysis, Bayesian network analysis and latent class analysis (LCA). The teams' analyses indicated adequate fit of a four-factor structure reported in a 1985 study, but also emphasized different conclusions across techniques; network analyses showed evidence against strong connectedness within most clusters, and suggested a five-cluster structure. The application of various analytic techniques painted a nuanced picture of paranormal beliefs and believers in The Netherlands and suggests that despite increased secularization, subgroups of the general population still believe in paranormal phenomena.</p>\",\"PeriodicalId\":21525,\"journal\":{\"name\":\"Royal Society Open Science\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":2.9000,\"publicationDate\":\"2024-09-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11371428/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Royal Society Open Science\",\"FirstCategoryId\":\"103\",\"ListUrlMain\":\"https://doi.org/10.1098/rsos.240049\",\"RegionNum\":3,\"RegionCategory\":\"综合性期刊\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/9/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"Q1\",\"JCRName\":\"MULTIDISCIPLINARY SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Royal Society Open Science","FirstCategoryId":"103","ListUrlMain":"https://doi.org/10.1098/rsos.240049","RegionNum":3,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/9/1 0:00:00","PubModel":"eCollection","JCR":"Q1","JCRName":"MULTIDISCIPLINARY SCIENCES","Score":null,"Total":0}
引用次数: 0

摘要

超自然信仰包含各种各样的现象,包括超自然实体(如鬼魂和女巫)的存在,以及人类的超常能力(如心灵感应和千里眼)。在本研究中,我们使用了一个具有全国代表性的样本(N = 2534)来调查荷兰世俗人口中超自然信仰的存在及其相关性。结果表明,大多数单一超自然现象(如相信千里眼)只得到 10-20% 荷兰受访者的认可;然而,根据预先登记的标准,55.6% 的受访者符合超自然现象信徒的条件,即他们相当肯定地相信至少一种超自然现象。此外,我们还邀请了四个具有不同方法专长的分析小组,使用传统因子分析、网络分析、贝叶斯网络分析和潜类分析(LCA)对超自然信仰的结构进行评估。这些小组的分析结果表明,1985 年的一项研究中报告的四因素结构与之充分吻合,但也强调了不同技术得出的不同结论;网络分析显示,大多数聚类内部的关联性不强,建议采用五聚类结构。各种分析技术的应用描绘了荷兰超自然信仰和信徒的细微情况,并表明尽管世俗化程度有所提高,但一般人群中仍有一些小群体相信超自然现象。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Prevalence, patterns and predictors of paranormal beliefs in The Netherlands: a several-analysts approach.

Paranormal beliefs encompass a wide variety of phenomena, including the existence of supernatural entities such as ghosts and witches, as well as extraordinary human abilities such as telepathy and clairvoyance. In the current study, we used a nationally representative sample ( N = 2534 ) to investigate the presence and correlates of paranormal beliefs among the secular Dutch population. The results indicated that most single paranormal phenomena (e.g. belief in clairvoyance) are endorsed by 10-20% of Dutch respondents; however, 55.6% of respondents qualify as paranormal believers based on the preregistered criterion that they believe in at least one phenomenon with considerable certainty. In addition, we invited four analysis teams with different methodological expertise to assess the structure of paranormal beliefs using traditional factor analysis, network analysis, Bayesian network analysis and latent class analysis (LCA). The teams' analyses indicated adequate fit of a four-factor structure reported in a 1985 study, but also emphasized different conclusions across techniques; network analyses showed evidence against strong connectedness within most clusters, and suggested a five-cluster structure. The application of various analytic techniques painted a nuanced picture of paranormal beliefs and believers in The Netherlands and suggests that despite increased secularization, subgroups of the general population still believe in paranormal phenomena.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Royal Society Open Science
Royal Society Open Science Multidisciplinary-Multidisciplinary
CiteScore
6.00
自引率
0.00%
发文量
508
审稿时长
14 weeks
期刊介绍: Royal Society Open Science is a new open journal publishing high-quality original research across the entire range of science on the basis of objective peer-review. The journal covers the entire range of science and mathematics and will allow the Society to publish all the high-quality work it receives without the usual restrictions on scope, length or impact.
期刊最新文献
Heliconius butterflies use wide-field landscape features, but not individual local landmarks, during spatial learning. Appreciation of singing and speaking voices is highly idiosyncratic. A first vocal repertoire characterization of long-finned pilot whales (Globicephala melas) in the Mediterranean Sea: a machine learning approach. Beyond bigrams: call sequencing in the common marmoset (Callithrix jacchus) vocal system. Enhancing biodiversity: historical ecology and biogeography of the Santa Catalina Island ground squirrel, Otospermophilus beecheyi nesioticus.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1