Cross-survey analysis to estimate low incidence religious groups

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dc.contributor.author Tighe, Elizabeth
dc.contributor.author Livert, David
dc.contributor.author Barnett, Melissa
dc.contributor.author Saxe, Leonard
dc.date.accessioned 2017-08-21T17:10:48Z
dc.date.available 2017-08-21T17:10:48Z
dc.date.issued 2010-06-16
dc.identifier.citation Sociological Methods & Research (2010) 39, 1: 56 - 82 en
dc.identifier.issn 1552-8294
dc.identifier.uri http://hdl.handle.net/10192/34096
dc.description.abstract Population-based surveys are of limited utility to estimate rare or low-incidence groups, particularly for those defined by religion or ethnicity not included in the U.S. Census. Methods of cross-survey analysis and small area estimation, however, can be used to provide reliable estimates of such low-incidence groups. To illustrate these methods, data from 50 national surveys are combined to examine the Jewish population in the United States. Hierarchical models are used to examine clustering of respondents within surveys and geographic regions. Bayesian analyses with Monte Carlo simulations are used to obtain pooled, state-level estimates poststratified by sex, race, education, and age to obtain certainty intervals about the estimates. This cross-survey approach provides a useful and practical analytic framework that can be generalized both to more extensive study of religion in the United States and to other social science problems in which single data sources are insufficient for reliable statistical inference. Open Access Sociological Methods & Research (2010) 39, 1: 56 - 82 en
dc.language.iso en en
dc.publisher SAGE Publications en
dc.rights (c) 2010 Tighe, Livert, Barnett, Saxe en
dc.subject Census en
dc.subject Cross-Survey en
dc.subject Jewish Population en
dc.title Cross-survey analysis to estimate low incidence religious groups en
dc.type Article en
dc.identifier.doi https://doi.org/10.1177/0049124110366237 en


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