手法を比較

	National Congregations Study Method	Congregational Network Analysis
分野	Sociology Of Religion	Sociology Of Religion
系統	Process / pipeline	Process / pipeline
提唱年	1999	2018
提唱者	Mark Chaves and colleagues	Sean F. Everton
種類	Hypernetwork (multiplicity) sampling design for congregations	Social network analysis applied to religious communities
原典	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.	Everton, S. F. (2018). Networks and Religion: Ties That Bind, Loose, Build-Up and Tear Down. Cambridge: Cambridge University Press. ISBN: 9781108404075
別名	Hypernetwork Congregation Sampling, Congregation Census Methodology, NCS Hypernetwork Method, Multiplicity Sampling of Congregations	Religious Network Analysis, Faith Community Network Analysis, Congregation Social Network Analysis, Networks-and-Religion Analysis
関連	3	3
概要	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.	Congregational network analysis applies social network analysis to religious communities, treating congregations and their members as nodes connected by ties of friendship, kinship, recruitment, and shared participation. Rather than studying individuals in isolation, it asks how the structure of relationships within and between faith communities shapes who joins, who stays, how commitment spreads, and how movements grow or fracture. Sean Everton's Networks and Religion (2018) organizes the field around the idea that ties bind people into communities, loose them from old commitments, build up movements, and tear them down, showing across recruitment, conversion, and decline that relational structure is often a better predictor of religious outcomes than individual attributes alone.