Browse 114 concepts used in the study of religion, review how survey researchers measured them in the past, and quickly compare the results of more than 7,600 survey questions.
The archive is a collection of surveys, polls, and other data submitted by the foremost scholars and research centers in the world. Review and analyze data online, or download free of charge.
Examine the religious composition, religious freedoms, demographics, constitutional clauses, survey findings and multiple social and political measures for 250 nations.
View maps of the United States and individual states for hundreds of variables, including congregational membership, census data, crime statistics and many others.
Generate congregational membership reports for any county, state and urban area in the United States using data collected by the Religious Congregations & Membership Study.
The profiles chart schisms and mergers, document membership trends, offer basic descriptions, and link to additional resources for more than 400 past and present American religious groups.
Browse dozens of topics from a major national survey of religious congregations. See how the responses vary by the size, religious family and region of the congregation.
Browse dozens of topics covered by major national surveys. See how the responses vary by demographic categories and, when available, how they change over time.
View maps of the United States and individual states for hundreds of variables, including congregational membership, census data, crime statistics and many others.
TESS conducts general population experiments on behalf of investigators throughout the social sciences. General population experiments allow investigators to assign representative subject populations to experimental conditions of their choosing. Faculty and graduate students from the social sciences and related fields (such as law and public health) propose experiments. A comprehensive, on-line submission and peer review process screens proposals for the importance of their contribution to science and society.
This question-wording experiment was designed to see whether using the term "fetus" rather than "baby" to ask questions would alter public preferences about prenatal testing for genetic defects and for abortion if a test revealed such defects. From 1990 through 2010, the GSS questions about prenatal testing and abortion were framed in terms of "baby" - for example: "Today, tests are being developed that make it possible to detect serious genetic defects before a baby is born." After the 2010 results were released, some researchers questioned whether the answers might have been different had the questions been framed in terms of "fetus" rather than "baby" because the word "fetus" may carry a more abstract, impersonal connotation than "baby" and might therefore lead to more frequent expressions of preferences for prenatal testing and abortion. To resolve this issue and provide guidance for future administrations of these questions in the GSS, the investigators designed a question-wording experiment fielded by TESS.
Online survey respondents are randomly selected into one of two experimental conditions ("baby" vs. "fetus") and one of two different versions of the question (Version 1 or Version 2). This creates four experimental conditions altogether.
See the original survey item for question wording of the experimental conditions.
Sampling Procedures
TESS provides investigators an opportunity to run Internet-based experiments on a random, probability-based sample of the population. To achieve a representative sample, we contract with GfK (formerly Knowledge Networks), which conducts surveys using its KnowledgePanel. KnowledgePanel is a nationally representative, probability-based web panel based on dual-frame sampling that combines traditional random-digit-dialing telephone surveying techniques with an address-based technique that allows the sample to be representative of cell-phone-only households as well as those with land-lines. A summary of the KnowledgePanel survey design used for the TESS projects can be accessed here. Additional data and study materials can be downloaded here.
Principal Investigators
Eleanor Singer, University of Michigan Mick P. Couper, University of Michigan
Notes
For any additional information regarding TESS data, please visit the original website here
