Counting the Faithful: Measuring Local Religious Contexts in the United States Counting the Faithful: Measuring Local Religious Contexts in the United States.

This study compares the estimates of religious composition of counties in the United States from three independent datasets: the 2010 Religious Congregational Membership Study (RCMS); the 2010 Infogroup Congregational membership data (INFO); and the Gallup Daily Poll-a large national survey with mor...

Descripción completa

Detalles Bibliográficos
Publicado en:Journal for the Scientific Study of Religion (John Wiley & Sons, Inc.) Vol. 52; no. 2; pp. 386 - 401
Autor principal: Lim, Chaeyoon
Formato: Artículo
Publicado: John Wiley & Sons, Inc. Jun2013
Materias:
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=87948011&site=ehost-live
header:
  @attributes:
    shortDbName: hlh
    uiTerm: 87948011
    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: Jun2013
      vid: 52
      iid: 2
      pid: 52269
      pub: John Wiley & Sons, Inc.
    artinfo:
      ui:
        87948011
        10.1111/jssr.12027
      ppf: 386
      ppct: 15
      formats:
        fmt:
          – @attributes:
              type: T
          – @attributes:
              type: P
              size: 407KB
      tig:
        atl: Counting the Faithful: Measuring Local Religious Contexts in the United States Counting the Faithful: Measuring Local Religious Contexts in the United States.
      aug:
        au: Lim, Chaeyoon
        affil: Department of Sociology, University of Wisconsin–Madison
      su:
        Religions
        Counties
        Church membership
        Religious life
        Public opinion polls
        United States
      sug:
        subj:
          United States
          Religions
          Counties
          Church membership
          Religious life
          Public opinion polls
      keyword:
        contextual effects
        measurement
        religion
      ab: This study compares the estimates of religious composition of counties in the United States from three independent datasets: the 2010 Religious Congregational Membership Study (RCMS); the 2010 Infogroup Congregational membership data (INFO); and the Gallup Daily Poll-a large national survey with more than 1.3 million respondents. My analyses suggest that the estimates for most major religious groups from the three datasets are highly correlated to each other. In addition, the measures of local religious compositions from the three datasets successfully predict the religious composition of friendship networks in a large, nationally representative survey. These findings suggest that RCMS, the most widely used data source for measuring local religious composition in the United States, has a convergent and predictive validity. My analyses, however, also highlight important challenges in measuring geographic distributions of non-Christian populations, as well as total religious populations in all religious traditions.
      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: 2013
    holdings:
      @attributes:
        islocal: N