National Surveys on Energy and Environment [United States]

Principal Investigator(s): View help for Principal Investigator(s) Christopher Borick, Muhlenberg College. Institute of Public Opinion; Sarah Mills, University of Michigan; Barry Rabe, University of Michigan

Version: View help for Version V19

Version Title: View help for Version Title Fall 2008-Fall 2018 NSEE

Name	File Type	Size	Last Modified
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

Folder Citation:

Borick, Christopher, Mills, Sarah, and Rabe, Barry. National Surveys on Energy and Environment [United States]: Fall 2013 NSEE. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2019-08-14. https://doi.org/10.3886/E100167V19-80461

To view the citation for the overall project, see http://doi.org/10.3886/E100167V19.

Folder Description

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: global warming; climate change; beliefs; political partisanship; carbon tax; cap and trade

Geographic Coverage: United States

Collection Date(s): 10/3/2013 – 10/14/2013 (Fall 2013)

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: AAPOR RR3 Response Rate: 12%

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): computer-assisted telephone interview (CATI)

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: State

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