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Faith Matters Survey, 2007

DOI

10.17605/OSF.IO/DNKHV

Citation

Putnam, R. D., Sander, T., & Campbell, D. E. (2020, October 22). Faith Matters Survey, 2007.

Summary

The 2007 Faith Matters Survey was conducted on behalf of Harvard University by International Communications Research. The survey was generously funded by the John Templeton Foundation. This collection reinterviewed the respondents from 2006 Faith Matters Survey about their religion (beliefs, belonging and behavior) and their social and political engagement. The data provide precise measurements of religious belief and behavior to help scholars determine their relative stability among different sub-populations and as compared to nonreligious beliefs and behaviors. Some variable names have been modified by the ARDA. Original variable names are in parentheses.

The ARDA has added six additional variables to the original data set to enhance the users' experience on our site.

Data File

Cases: 4069
Variables: 337
Weight Variable: WEIGHT07

Data Collection

2007

Original Survey (Instrument)

Original survey website

Funded By

John Templeton Foundation

Collection Procedures

The Faith Matters survey was administered in 2007 by ICR/International Communications Research. All of its respondents are age 18 or older. Interviews were conducted in both English and Spanish. Respondents were offered $20 for completing the survey.

Sampling Procedures

The 2007 Faith Matters Survey is a follow-up to everyone who participated in the 2006 Faith Matters Survey. All respondents in the 2007 collection also participated in the 2006 collection.

Principal Investigators

Robert D. Putnam, Harvard University
Thomas Sander, Harvard University
David E. Campbell, University of Notre Dame

Related Publications

Putnam, Robert D. and David E. Campbell. 2010. American Grace: How Religion Divides and Unites Us. New York: Simon & Schuster.

Weighting and Estimation

The data were weighted by gender, age, race, region, and education. Qbal, an industry-standard weighting program that employs a ranking procedure to simultaneously equate weights by each variable, was used to create the final weights.

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