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Church Attendance and Religious change Pooled European dataset (CARPE): a survey harmonization project for the comparative analysis of long-term trends in individual religiosity

Author

Listed:
  • Ferruccio Biolcati

    (University of Milan)

  • Francesco Molteni

    (University of Milan)

  • Markus Quandt

    (GESIS – Leibniz Institute for the Social Sciences)

  • Cristiano Vezzoni

    (University of Milan)

Abstract

Despite the long-lasting interest in religious change, debates on the topic have been heated and are still far from being settled. In order to provide a reliable data source through which to study these dynamics, the CARPE project harmonizes well-known international surveys containing items concerning religiosity (the ESS, Eurobarometer, EVS, ISSP and WVS). This makes it possible to broaden the available observation window, both across countries and over time. Moreover, the opportunities this provides for comparing different survey programmes also enable researchers to analyse the consistency of the results, minimizing the impact of random fluctuations and providing useful information with respect to the degree of confidence which can be placed on the relevant estimates. The main focus of this cumulative approach is the variable regarding church attendance, which has been harmonized in various ways. All in all, the CARPE dataset contains figures of religious practice for 45 countries spanning the period of 1970–2016 and derived from 1665 national surveys. This results in a sample of approximately 1.8 million individual observations. The aim of this contribution is to present the dataset’s composition, the harmonization procedure adopted, the strategy used to combine the single datasets and the reliability tests which have been performed. Finally, some possible applications of the CARPE dataset will be introduced.

Suggested Citation

  • Ferruccio Biolcati & Francesco Molteni & Markus Quandt & Cristiano Vezzoni, 2022. "Church Attendance and Religious change Pooled European dataset (CARPE): a survey harmonization project for the comparative analysis of long-term trends in individual religiosity," Quality & Quantity: International Journal of Methodology, Springer, vol. 56(3), pages 1729-1753, June.
    • Handle: RePEc:spr:qualqt:v:56:y:2022:i:3:d:10.1007_s11135-020-01048-9
    DOI: 10.1007/s11135-020-01048-9
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    1. Andrew Bell & Kelvyn Jones, 2018. "The hierarchical age–period–cohort model: Why does it find the results that it finds?," Quality & Quantity: International Journal of Methodology, Springer, vol. 52(2), pages 783-799, March.
    2. Glenn Firebaugh, 2008. "The First Rule, from Seven Rules for Social Research," Introductory Chapters, in: Seven Rules for Social Research, Princeton University Press.
    3. William Meredith & John Tisak, 1990. "Latent curve analysis," Psychometrika, Springer;The Psychometric Society, vol. 55(1), pages 107-122, March.
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