Literaturnachweis - Detailanzeige
Autor/inn/en | Claassen, Christopher; Traunmüller, Richard |
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Titel | Improving and Validating Survey Estimates of Religious Demography Using Bayesian Multilevel Models and Poststratification |
Quelle | In: Sociological Methods & Research, 49 (2020) 3, S.603-636 (34 Seiten)
PDF als Volltext |
Zusatzinformation | ORCID (Claassen, Christopher) |
Sprache | englisch |
Dokumenttyp | gedruckt; online; Zeitschriftenaufsatz |
ISSN | 0049-1241 |
DOI | 10.1177/0049124118769086 |
Schlagwörter | Religious Cultural Groups; Muslims; Jews; Census Figures; Foreign Countries; Group Dynamics; Migration; Social Integration; Bayesian Statistics; Accuracy; Self Concept; Demography; Comparative Analysis; Measurement; Voting; Violence; Conflict; National Surveys; Religious Factors; Public Opinion; Cultural Background; Political Attitudes; United Kingdom |
Abstract | Religious group size, demographic composition, and the dynamics thereof are of interest in many areas of social science including migration, social cohesion, parties and voting, and violent conflict. Existing estimates however are of varying and perhaps poor quality because many countries do not collect official data on religious identity. We propose a method for accurately measuring religious group demographics using existing survey data: Bayesian multilevel regression models with poststratification. We illustrate this method by estimating the demography of Muslims, Hindus, and Jews in Great Britain over a 20-year period and validate it by comparing our estimates to UK census data on religious demography. Our estimates are very accurate, differing from true population proportions by as little as 0.29 (Muslim) to 0.04 (Jewish) percentage points. These findings have implications for the measurement of religious demography as well as small group attributes more generally. (As Provided). |
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Erfasst von | ERIC (Education Resources Information Center), Washington, DC |
Update | 2024/1/01 |