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f13-pud.csv text/csv 166.5 KB 02/01/2017 08:33:AM
f13-pud.dta application/x-stata 207.4 KB 01/31/2017 06:28:AM
f13-pud.sav application/x-spss-sav 193.8 KB 02/01/2017 08:31:AM
fall2013_nsee_codebook.pdf application/pdf 712.7 KB 01/31/2017 05:56:AM

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To view the citation for the overall project, see http://doi.org/10.3886/E100167V16.

Folder Description

Summary:  View help for Summary
The Fall 2013 NSEE included longitudinal questions about belief in climate change, plus additional content related to international emissions reductions (the Kyoto Protocol), cap and trade, carbon taxes, impact of partisanship on support for climate policies, and more. The results are based on a telephone survey of 947 adult (age 18 or older) residents of the United States between October 3 and October 14, 2013. Respondents were interviewed in English on both landlines (626) and cell phones (321) by the staff of the Muhlenberg College Institute of Public Opinion (MCIPO) in Allentown, Pennsylvania on the Institute’s Computer Aided Telephone Interviewing (CATI) system.

Scope of Folder

Subject Terms:  View help for Subject Terms global warming; climate change; beliefs; political partisanship; carbon tax; cap and trade
Geographic Coverage:  View help for Geographic Coverage United States
Collection Date(s):  View help for Collection Date(s)
Collection Notes:  View help for Collection Notes
Rather than using variables names based on question number, the NSEE datasets use a longitudinal variable naming scheme, to facilitate longitudinal analysis. Many questions have been asked in multiple waves of the NSEE. Consult the NSEE Crosswalk to see which questions have been asked in prior and subsequent waves of the NSEE. Variable names
include two parts, a subject category for the question, and a description of the contents of the question. When a question has been asked with the same text and response options over multiple waves, the same variable name will be used in each dataset. Where there have been slight changes in question wording, the variable name will include a version number (v1, v2, etc., appended to the variable name). In the single wave NSEE datasets, variables are listed in the order that they were asked.

Methodology

Response Rate:  View help for Response Rate AAPOR RR3 Response Rate: 12%
Sampling:  View help for Sampling
Both the landline and cell phone samples were provided by the Marketing Systems Group (MSG), Horsham, Pennsylvania. Both landline and cell phones were chosen randomly from sampling frames of United States landline and cell numbers provided by MSG. In order to reach a representative sample of adult Americans both landlines and cell phones are called up to 10 times.
Collection Mode(s):  View help for Collection Mode(s) computer-assisted telephone interview (CATI)
Weights:  View help for Weights The sample data has been weighted by age, race, educational attainment, income, and gender to reflect 2013 population parameters for these factors provided by the United States Census Bureau.
Geographic Unit:  View help for Geographic Unit State

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