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Statistics for evidence-based policy in the Church of England : predicting diocesan performance
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Francis, Leslie J., Laycock, Patrick and Village, Andrew (2010) Statistics for evidence-based policy in the Church of England : predicting diocesan performance. Review of Religious Research, Vol.52 (No.2). pp. 207-220. ISSN 0034-673X.
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Official URL: http://rra.hartsem.edu/reviewof.htm
Abstract
This study computed the percentage changes recorded on six separate performance indicators between 1991 and 2000 in order to calculate the effect of the Decade of Evangelism on the mainland dioceses of the Church of England. The performance indicators were usual Sunday attendance, Easter Sunday communicants, Christmas communicants, electoral roll membership, total baptism figures, and total confirmation figures. Statistical procedures (including cluster analysis, analysis of variance, canonical correlation analysis, and multiple regression) were then employed in order to identify from the range of variables routinely collected by the central church authorities policy-related factors associated with church growth (or at least reduced decline) over this period. These analyses identified four areas, concerned with expanding non-stipendiary ministry, with encouraging the ordination of women, with resisting church closure, and with promoting a financial policy that includes planned subscriptions and charitable giving. These conclusions are offered as an applied example of using statistics as a tool for mission and as the basis for evidence-based policy.
Item Type: | Journal Article | ||||
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Subjects: | B Philosophy. Psychology. Religion > BR Christianity | ||||
Divisions: | Faculty of Social Sciences > Institute of Education ( -2013) | ||||
Library of Congress Subject Headings (LCSH): | Evangelistic work -- Great Britain, Church of England -- Statistics, Church growth -- Great Britain | ||||
Journal or Publication Title: | Review of Religious Research | ||||
Publisher: | Religious Research Association | ||||
ISSN: | 0034-673X | ||||
Official Date: | December 2010 | ||||
Dates: |
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Volume: | Vol.52 | ||||
Number: | No.2 | ||||
Page Range: | pp. 207-220 | ||||
Status: | Peer Reviewed | ||||
Publication Status: | Published | ||||
Access rights to Published version: | Restricted or Subscription Access |
Data sourced from Thomson Reuters' Web of Knowledge
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