Abstract

The paper focusses on the growth or/and decline in the number of devotees in UK Dioceses of the Church of England during the “Decade of Evangelism” [1990–2000]. In this study, rank-size relationships and subsequent correlations are searched for through various performance indicators of evangelism management. A strong structural regularity is found. Moreover, it is shown that such key indicators appear to fall into two different classes. This unexpected feature seems to indicate some basic universality regimes, in particular to distinguish behaviour measures. Rank correlations between indicators measures further emphasise some difference in evangelism management between Evangelical and Catholic Anglican tradition dioceses (or rather bishops) during that time interval.

Highlights

  • On one hand, the dynamics of religious affiliation and proselytism

  • Notice that from the raw data published by Francis and Roberts [25], there is no cue indicating that the baptism candidate numbers of older religious adherents and the confirmation candidate (Cc) numbers would be correlated

  • Above we took the case of the analysis of the growth in the Church of England during the Decade of Evangelism [1990–2000] in order to provide such an insight into maintaining devotees and/or acquiring them

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Summary

Introduction

The dynamics of religious affiliation and proselytism One should emphasize here that evangelism, specific to the message of Jesus, in contrast to proselytism being a too general, universal, term encompassing evangelism; the latter output is the main keyword and research direction here; no determinant of any proselytism process dynamics is here studied.) are still problems of constant interest [5]. Such a process is a phenomenon similar to those processes describing crystal growths [6,7] for example. Our methodology is expected to suggest much more precisely meaningful work in various domains

Some Theoretical Consideration
Empirical Ranking Laws
Performance Data
Percentage Change Data Analysis
Result Discussion
Rank Correlation Data
Rank Correlation Data Analysis
Concluding Remarks
Full Text
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