Porovnat metody

	RELTRAD Affiliation Classification	National Congregations Study Method
Obor	Sociology Of Religion	Sociology Of Religion
Rodina	Process / pipeline	Process / pipeline
Rok vzniku	2000	1999
Tvůrce	Brian Steensland, Jerry Z. Park, Mark D. Regnerus, Lynn D. Robinson, W. Bradford Wilcox & Robert D. Woodberry	Mark Chaves and colleagues
Typ	Classification/coding scheme for religious affiliation	Hypernetwork (multiplicity) sampling design for congregations
Původní zdroj	Steensland, B., Park, J. Z., Regnerus, M. D., Robinson, L. D., Wilcox, W. B., & Woodberry, R. D. (2000). The Measure of American Religion: Toward Improving the State of the Art. Social Forces, 79(1), 291-318.	Chaves, M., Konieczny, M. E., Beyerlein, K., & Barman, E. (1999). The National Congregations Study: Background, Methods, and Selected Results. Journal for the Scientific Study of Religion, 38(4), 458-476.
Další názvy	Religious Tradition Coding, RELTRAD Scheme, Denominational Classification Scheme, Religious Affiliation Coding	Hypernetwork Congregation Sampling, Congregation Census Methodology, NCS Hypernetwork Method, Multiplicity Sampling of Congregations
Příbuzné	3	3
Shrnutí	Religious affiliation classification is the task of turning hundreds of detailed denominational responses on a survey into a small, analytically useful set of religious traditions. The dominant scheme, RELTRAD, was proposed by Brian Steensland and colleagues in their 2000 Social Forces article 'The Measure of American Religion,' which criticized earlier classifications as historically and theologically incoherent and offered seven categories grounded in the development of American religious traditions: evangelical Protestant, mainline Protestant, Black Protestant, Roman Catholic, Jewish, other faiths, and no religion. By sorting respondents into traditions that share a meaningful religious heritage rather than into ad hoc groupings, RELTRAD became the standard variable through which sociologists relate religion to politics, family, and social attitudes.	The National Congregations Study (NCS) method solves a hard sampling problem: there is no complete list of all the congregations in a country, so they cannot be sampled directly. Mark Chaves and colleagues addressed this with hypernetwork (multiplicity) sampling - drawing a representative sample of individuals, asking those who attend services to name their congregation, and treating each named congregation as a sampled unit. Because a congregation is named in proportion to the number of people who attend it, this procedure automatically yields a sample of congregations with probability proportional to size, from which leaders are then interviewed. First fielded in 1998 and described in the 1999 Journal for the Scientific Study of Religion article, and repeated in later waves summarized in Chaves and Eagle's 2015 report, the NCS has become the standard way to produce nationally representative data on American congregations.