Measuring Religion in Different Spatial Contexts: How Surveys Involving Religion Inconsistently Determine Locations
As American spatial contexts change, particularly the suburbs with increasing racial, ethnic, and socioeconomic diversity and shifting political patterns within a range of unique suburban types and communities, an analysis of 89 surveys involving religion in the Association of Religion Data Archives...
Main Author: | |
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Format: | Electronic Article |
Language: | English |
Check availability: | HBZ Gateway |
Journals Online & Print: | |
Fernleihe: | Fernleihe für die Fachinformationsdienste |
Published: |
Sage Publications
[2016]
|
In: |
Review of religious research
Year: 2016, Volume: 58, Issue: 2, Pages: 285-304 |
Standardized Subjects / Keyword chains: | B
USA
/ Science of Religion
/ Data acquisition
/ Localization
/ Suburb
/ Methodology
|
RelBib Classification: | AA Study of religion AF Geography of religion KBQ North America |
Further subjects: | B
Surveys
B Methodology B Suburbs B Cities |
Online Access: |
Volltext (Verlag) Volltext (doi) |
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520 | |a As American spatial contexts change, particularly the suburbs with increasing racial, ethnic, and socioeconomic diversity and shifting political patterns within a range of unique suburban types and communities, an analysis of 89 surveys involving religion in the Association of Religion Data Archives shows a lack of consensus in how to measure locations. The 529 questions addressing suburban locations differ in three major ways: a majority allows respondents to self-report their location, leading to more respondents selecting small towns; there are a variety of response categories, often with options that are not mutually exclusive; and one result of the first two issues is that surveys provide different percentages regarding how many individuals and congregations reside in the suburbs. These issues are also present in large-scale studies of American religiosity including the National Congregations Study and the National Study of Youth and Religion. Improving the measurement of spatial context could include reaching consensus over standard questions and categories to use, assigning respondents to specific geographic locations which allows matching to other data (such as the Census), and including both self-reported and assigned locations in survey results. | ||
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