2018
DOI: 10.1007/s13644-018-0339-4
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Merging the Religious Congregations and Membership Studies: A Data File for Documenting American Religious Change

Abstract: The decennial religious congregations and membership studies are a popular data source for analyzing local religious composition and diversity, but several methodological challenges hinder merging the datasets for longitudinal analyses. In this paper, we introduce strategies for addressing four of the most serious challenges: religious mergers and schisms, changes in membership standards within certain groups, missing data and changes in county boundaries. In doing so we successfully merge the 1980, 1990, 2000… Show more

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Cited by 21 publications
(12 citation statements)
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“…3 A reveals the standard effect for age groups. Sameness decreases suicide risk for the younger age groups ( 15 44 ), has little influence on the risk in middle age, and increases the risk for the oldest individuals. Ethnic and race effects are similarly complicated: For Whites and Blacks, sameness decreases individual suicide risk while for all other groups, and especially AI/ANs, the risk increases with sameness ( Fig.…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…3 A reveals the standard effect for age groups. Sameness decreases suicide risk for the younger age groups ( 15 44 ), has little influence on the risk in middle age, and increases the risk for the oldest individuals. Ethnic and race effects are similarly complicated: For Whites and Blacks, sameness decreases individual suicide risk while for all other groups, and especially AI/ANs, the risk increases with sameness ( Fig.…”
Section: Resultsmentioning
confidence: 99%
“…Second, to avoid misspecification errors, we merged aggregated data from the Small Area Income and Poverty Estimates, Census Geodatabase, County Population Estimates, County-to-County migration flow from the Internal Revenue Service, all provided by the Census Bureau ( 29 ) and known to be important controls in suicide analysis: percentage living in poverty, migration rate, and population density. Third, county-level counts of congregations for 236 religious organizations were obtained from the Longitudinal Religious Congregations and Membership Study (RCMS) ( 30 ) file for the most recent year available (2010), and aggregated into the Steensland et al ( 31 ) religious tradition categories (Evangelical Protestant, Mainstream Protestant, Black Protestant, Catholic and Orthodox, Jewish, and Other). After listwise deletion of missing data, 7.8% of NVDRS cases and 4.67% of ACS cases were lost to the analysis (NVDRS Effective n = 61,715; ACS = 11,017,092; detail in SI Appendix , Tables S2 and S3 ).…”
Section: Methodsmentioning
confidence: 99%
“…Information on the number of religious fundamentalists across counties was drawn from the Churches and Church Membership in the United States and the Religious Congregations and Membership studies (Bradley et al., 1992; Grammich et al., 2012; Jones et al., 2002). During each decennial measurement period, researchers contacted all of the Judeo‐Christian church bodies identified in the Yearbook of American and Canadian Churches , which provides a list of all major religious groups in both countries (Bacon et al., 2018). Religious groups that participated in the study were required to identify a contact person who worked with the researchers to collect information on the number of congregations, adherents, and members across counties.…”
Section: Methodsmentioning
confidence: 99%
“…We partially address this limitation by relying on the size of fundamentalist populations reported in the Bacon et al. (2018) county‐level data set. This longitudinal data set was constructed using the decennial religious reports for the period from 1980 to 2010.…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation