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

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

Folder Description

Summary:  View help for 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:  View help for Subject Terms global warming; climate change; carbon tax; fuel efficiency; vehicles
Geographic Coverage:  View help for Geographic Coverage United States
Collection Date(s):  View help for Collection Date(s) 4/29/2018 – 5/25/2018 (Spring 2018)
Universe:  View help for Universe Adult (age 18 or older) residents of the United States
Data Type(s):  View help for Data Type(s) survey data

Methodology

Response Rate:  View help for Response Rate AAPOR RR3 Response Rate: 8%
Sampling:  View help for 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):  View help for Collection Mode(s) computer-assisted telephone interview (CATI)
Weights:  View help for 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:  View help for Unit(s) of Observation Individual
Geographic Unit:  View help for Geographic Unit State

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