2018
DOI: 10.1111/jssr.12513
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Assessing the Validity of Data Synthesis Methods to Estimate Religious Populations

Abstract: The present study tests the validity of a data synthesis approach to population estimates of religiously defined groups. This is particularly important in places like the United States, where there is no definitive source of official data on its population's religious composition, and researchers must rely on costly, large‐scale surveys, or congregational membership studies. Each approach has limitations, especially for estimation of small religious groups and for estimation within small geographic areas. With… Show more

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Cited by 12 publications
(3 citation statements)
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“…Rather than a single survey, the AJPP estimate of 7.6 million is based on a statistical analysis of primary data from hundreds of surveys of the US population (Magidin de Kramer et al 2018;Saxe and Tighe 2013;Saxe et al 2021;Tighe et al 2021). Each survey includes a question on religious identity that is consistent with the religion screener question in Jewish-focused surveys.…”
Section: Comparison To Recent Population Estimatesmentioning
confidence: 99%
“…Rather than a single survey, the AJPP estimate of 7.6 million is based on a statistical analysis of primary data from hundreds of surveys of the US population (Magidin de Kramer et al 2018;Saxe and Tighe 2013;Saxe et al 2021;Tighe et al 2021). Each survey includes a question on religious identity that is consistent with the religion screener question in Jewish-focused surveys.…”
Section: Comparison To Recent Population Estimatesmentioning
confidence: 99%
“…The latter point (using data on Jews by religion to estimate Jews of no religion) is important in view of attempts to estimate Jewish populations based in surveys which, as they do, include Jewish as one option in a question on religious identity (Magidin de Kramer et al 2018, Hackett 2014). In the SSRI meta-analysis, Jewish population is assessed at the county level through a logistic regression model that predicts the likelihood an adult identifies as Jewish when asked their religion.…”
Section: Israelmentioning
confidence: 99%
“…In comparison, its adoption in sociology has been slower, although the tide appears to be turning, with recent studies using MRP to estimate state-level income mobility (Bloome 2015), state-level attitudes to LGBT employment rights (Dixon, Kane, and DiGrazia 2017), and state-level support for criminal sentencing policies (Duxbury 2021). A few studies have also applied MRP to estimate the size of small religious groups at the national level, such as the proportion of Jews in the United States and Canada (Magidin de Kramer et al 2018;Tighe et al 2010) and the proportion of Muslims, Hindus, and Jews in the United Kingdom (Claassen and Traunmüller 2020). Among these studies, the one by Claassen and Traunmüller (2020) is most ambitious, investigating the prevalence of different religious traditions within subgroups (e.g., young women with a degree) over time.…”
Section: Tracking State-level Religious Trends Using the Gssmentioning
confidence: 99%