RELTRAD2: Refining the State of the Art of Religious Classification by Reconsidering the Categorization of Nondenominational Respondents.
RELTRAD is a major religious taxonomy used by a large number of researchers. Although criticisms have been raised about its utility, improving the algorithm to capture contemporary religious dynamics is important given its widespread use. The present RELTRAD taxonomy classifies more religiously acti...
| Publicado en: | Journal for the Scientific Study of Religion (John Wiley & Sons, Inc.) Vol. 63; no. 3; pp. 638 - 656 |
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| Autores principales: | , |
| Formato: | Artículo |
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John Wiley & Sons, Inc.
Sep2024
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=181039349&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 181039349 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 00218294 NRNN jtl: Journal for the Scientific Study of Religion (John Wiley & Sons, Inc.) issn: 00218294 maglogo: N pubinfo: dt: Sep2024 vid: 63 iid: 3 pid: 52269 pub: John Wiley & Sons, Inc. artinfo: ui: 181039349 10.1111/jssr.12916 ppf: 638 ppct: 18 formats: fmt: – @attributes: type: T – @attributes: type: C – @attributes: type: P size: 842KB tig: atl: RELTRAD2: Refining the State of the Art of Religious Classification by Reconsidering the Categorization of Nondenominational Respondents. aug: au: Gaghan, Josh Eagle, David affil: Duke Global Health Institute, Duke University Department of Sociology, Duke Global Health Institute, Duke University su: Christians Protestants Religious groups Independent churches Race identity Taxonomy sug: subj: Christians Protestants Religious groups Independent churches Race identity Taxonomy keyword: religion religious classification RELTRAD ab: RELTRAD is a major religious taxonomy used by a large number of researchers. Although criticisms have been raised about its utility, improving the algorithm to capture contemporary religious dynamics is important given its widespread use. The present RELTRAD taxonomy classifies more religiously active nondenominational respondents as Conservative Protestants and codes the remainder as missing data. A growing number of Americans indicate they are either nondenominational or only Christian or Protestant, which means using RELTRAD in its existing form codes a nonrandom and increasingly large number of respondents with a missing value for religious affiliation (growing from 2 percent to 5 percent of the US General Social Survey (GSS) sample between 2000 and 2018). Using a machine learning algorithm to predict the likely religious tradition of nondenominational respondents, we demonstrate the shortcomings of this approach and introduce a new coding scheme, RELTRAD2, which classifies nondenominational respondents who report a Black racial identity as Black Protestant, non‐Black respondents who never attend religious services as Mainline Protestant, and the remainder as Conservative Protestant. Code to derive RELTRAD2 from the GSS is provided. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y custom: Copyright of Journal for the Scientific Study of Religion (John Wiley & Sons, Inc.) is the property of John Wiley & Sons, Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. item: Journal for the Scientific Study of Religion (John Wiley & Sons, Inc.) holder: John Wiley & Sons, Inc. dt: @attributes: year: 2024 holdings: @attributes: islocal: N |
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