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
NSEE_Spring_2018_PUD.csv	text/csv	112.5 KB	06/24/2019 06:14:AM
NSEE_Spring_2018_PUD.dta	application/x-stata	149.1 KB	06/18/2019 08:32:AM
NSEE_Spring_2018_PUD.sav	application/x-spss-sav	155.3 KB	06/21/2019 12:01:PM
S2018-NSEE-pud_codebook.pdf	application/pdf	653.9 KB	06/21/2019 11:59:AM

Folder Citation:

Borick, Christopher, Mills, Sarah, and Rabe, Barry. National Surveys on Energy and Environment [United States]: Spring 2018 NSEE. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2019-08-14. https://doi.org/10.3886/E100167V19-80443

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

Folder Description

Summary: The Spring 2018 NSEE was a telephone survey of 751 adult (age 18 or older) residents of the United States between April 29 and May 25, 2018. Respondents were interviewed in English on both land lines (146) and cell phones (605) 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.

The Spring 2018 NSEE included longitudinal questions about belief in climate change, plus additional content related to fuel efficiency standards, carbon pricing, and more.

Scope of Folder

Subject Terms: global warming; climate change; carbon tax; fuel efficiency; vehicles

Geographic Coverage: United States

Collection Date(s): 4/29/2018 – 5/25/2018 (Spring 2018)

Universe: Adult (age 18 or older) residents of the United States

Data Type(s): survey data

Methodology

Response Rate: AAPOR RR3 Response Rate: 8%

Sampling: In order to reach a representative sample of Americans both land lines and cell phones are called up to 5 times.

Collection Mode(s): computer-assisted telephone interview (CATI)

Weights: Data are weighted by gender, race, age, income and educational attainment to reflect

those population characteristics of the United States as reported by the United States Census Bureau. The variable Weight can be used to weight the data.

Unit(s) of Observation: Individual

Geographic Unit: State

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