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This project aims to enhance the identification of different religious affiliations by recognizing the multiple dimensions of religiosity and evaluating individuals based on specific religious traditions. By developing a new classification system that considers aspects like church attendance, beliefs, and belonging, the goal is to avoid misclassification of respondents and provide more accurate insights within denominations. Through examples and goals, the study highlights the importance of distinguishing between active and marginal members to better understand the varying importance different traditions place on beliefs and behaviors.
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Who's Misbehavin'?: Improving the Identification Method of the Affiliated Non-Religious Christopher Born The Catholic University of America Christine Brickman Bhutta The Catholic University of America Center for the Economic Study of Religion (GMU)
Motivating the Project • Current research on religious adherents fails in one of two respects: (1) Does not distinguish marginal from active members (2) When distinctions are drawn, uniform criteria across denominations (reltrad) are applied • Missteps lead to: (1) Overlooking relative importance different traditions place on specific beliefs and behaviors (2) Misclassification of respondents (3) “Watering down” of findings both within and across denominations • Examples
New Classification Scheme Goals • Recognize multiple dimensions of religious commitment • Evaluate individuals according to the standards of their specific religious traditions
Goal #1Recognize multiple dimensions of religiosity • Belonging (self-identified, RELTRAD) • Behavior (church attendance) • Belief (view on bible) Himmelfarb 1975, Kellstedt 1993
Goal #2 Be specific to each religious tradition • Consult authoritative church teachings, foundational church documents, and relevant theology • When above is limited, consider what members of a given tradition identify as core components of their religious identity (Mockabee et al 2001)
New Classification Scheme – Catholics • Source: • Attendance: First Precept of the Church • Bible: Catechism of the Catholic Church (CCC) • Requirements for active status: • Attendance: 2 to 3 times per month or more • Bible: Cannot identify bible as book of fables • Results: • Active – 40 percent • Marginal – 60 percent
New Classification Scheme: Evangelical Protestants • Source: • Bible: Statement of Faith from the National Association of Evangelicals and evangelical Protestant respondents • Attendance: Importance of baptism and collective worship and importance placed on attendance by evangelical Protestants themselves (Mockabee et al 2001) • Requirements for active status: • Bible: Cannot identify bible as book of fables • Attendance: 2 to 3 times per month or more • Results: • Active – 57 percent • Marginal – 43 percent
New Classification Scheme: Mainline Protestants • Source: • Bible: UMC, ELCA, PCUSA overlapping portions of statement of faith and mainline Protestant respondents • 61 percent of all mainline Protestants fall into above denominations • Attendance: Importance of baptism, Eucharist, and collective worship; and attitudes toward attendance by mainline Protestants (Mockabee et al 2001) • Requirements for active status: • Bible: Cannot identify bible as book of fables • Attendance: Once per month • Results: • Active – 47 percent • Marginal – 53 percent
Preliminary Analysis • Data: GSS (1988, 1998, 2008) • Limitations exist, but wanted large enough sample • Use RELTRAD to break out denominations (Catholic, Evangelical Protestant, Mainline Protestant) • Explore trends over time: arepeople moving to the margins of the church? • Religious commitment and political affiliation
Percentage of Marginal Members in Each Religious Tradition over Time
Political Affiliations Political Party ID by Religious Tradition: Active and Marginal Political Party ID by Religious Tradition: Active only
Discussion • Challenges of the data • Attendance issues (over-reporting) • Other findings in the data Feedback • We welcome any comments about sources, methodology, criteria, etc. • Any other data sources? • Other items to examine on GSS?