Modeling Fuzzy Fidelity: Using Microsimulation to Explore Age, Period, and Cohort Effects in Secularization

Ivan Puga‐Gonzalez, David Voas, Lukasz Kiszkiel, R. J. Bacon, W. Wildman, K. Talmont-kaminski, F. Shults
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Abstract

This article presents a microsimulation that explores age, period, and cohort effects in the decline of religiosity in contemporary societies. The model implements a well-known and previously empirically validated theory of secularization that highlights the role of “fuzzy fidelity,” i.e., the percentage of a population whose religiosity is moderate (Voas 2009). Validation of the model involved comparing its simulation results to shifts in religiosity over 9 waves of the European Social Survey. Simulation experiments suggest that a cohort effect, based on weakened transmission of religiosity as a function of the social environment, appears to be the best explanation for secularization in the societies studied, both for the population as a whole and for the proportions of religious, fuzzy, and secular people.
建模模糊保真度:使用微观模拟探索世俗化中的年龄、时期和队列效应
这篇文章提出了一个微观模拟,探讨年龄,时期和群体的影响,在宗教信仰的下降在当代社会。该模型实现了一个众所周知的、先前经过经验验证的世俗化理论,该理论强调了“模糊保真度”的作用,即宗教信仰适度的人口的百分比(Voas 2009)。该模型的验证包括将其模拟结果与欧洲社会调查的9波宗教信仰变化进行比较。模拟实验表明,基于宗教信仰作为社会环境功能的弱化传播的群体效应,似乎是所研究社会中世俗化的最佳解释,无论是对整体人口还是对宗教、模糊和世俗人口的比例。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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