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 |
|---|---|---|---|
| Fall 2008 NSEE | 03/07/2019 09:40:AM | ||
| Fall 2009 NSEE | 07/14/2017 04:03:PM | ||
| Fall 2010 NSEE | 08/18/2017 09:07:AM | ||
| Fall 2015 NSEE | 03/07/2019 10:45:AM | ||
| Fall-2011-NSEE | 07/14/2017 03:00:PM | ||
| Fall-2012-NSEE | 08/18/2017 09:10:AM | ||
| Fall-2013-NSEE | 02/01/2017 01:33:PM | ||
| Fall-2014-NSEE | 08/18/2017 03:49:PM | ||
| Fall-2016-NSEE | 08/18/2017 11:04:AM | ||
| Fall-2017-NSEE | 03/07/2019 10:08:AM |
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Project Citation:
Borick, Christopher, Mills, Sarah, and Rabe, Barry. National Surveys on Energy and Environment [United States]. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2019-08-14. https://doi.org/10.3886/E100167V19
Project Description
Summary:
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The National Surveys on Energy and Environment (NSEE) is an on-going biannual national opinion survey on energy and climate policy. Launched in 2008, over time the NSEE has covered topics such as public policy approaches to address climate change including federal, state, and international action; energy policies such as cap-and-trade, carbon taxes, renewable energy requirements, vehicle emissions standards, and many more; and knowledge and attitudes about global warming, climate adaptation, fracking, and geoengineering. From 2008-2012 the survey was called the “National Survey of American Public Opinion on Climate Change” (NSAPOCC); starting in 2013 the survey was renamed to the “National Surveys on Energy and Environment” (NSEE).
NSEE was co-founded by professor Barry Rabe at the University of Michigan and professor Christopher Borick at Muhlenberg College, and is fielded by the Muhlenberg College Institute of Public Opinion. For more information about the NSEE, contact closup-nsee@umich.edu.
The NSEE is committed to transparency in all facets of our work, including timely release and posting of data from each survey wave. A grant from the Office of the Provost at the University of Michigan has allowed us to provide online access to earlier waves of the NSEE, including frequency tables, survey instruments, and datasets. Users can see a list of topics covered by the NSEE, and search for questions by text, variable name, or variable category on CLOSUP's website.
Although the datasets are listed by survey wave, the NSEE is a valuable source of longitudinal public-opinion data on climate change and energy policy. Many questions have been asked over multiple waves, including questions about belief in global warming that have been asked in every wave of the NSEE. Consult the NSEE Crosswalk to see which questions have been asked in prior and subsequent waves of the NSEE. To facilitate longitudinal analysis, the NSEE datasets use a longitudinal variable naming scheme to facilitate longitudinal analysis. 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. For more information on the longitudinal naming scheme users should consult the codebooks for the datasets.
NSEE was co-founded by professor Barry Rabe at the University of Michigan and professor Christopher Borick at Muhlenberg College, and is fielded by the Muhlenberg College Institute of Public Opinion. For more information about the NSEE, contact closup-nsee@umich.edu.
The NSEE is committed to transparency in all facets of our work, including timely release and posting of data from each survey wave. A grant from the Office of the Provost at the University of Michigan has allowed us to provide online access to earlier waves of the NSEE, including frequency tables, survey instruments, and datasets. Users can see a list of topics covered by the NSEE, and search for questions by text, variable name, or variable category on CLOSUP's website.
Although the datasets are listed by survey wave, the NSEE is a valuable source of longitudinal public-opinion data on climate change and energy policy. Many questions have been asked over multiple waves, including questions about belief in global warming that have been asked in every wave of the NSEE. Consult the NSEE Crosswalk to see which questions have been asked in prior and subsequent waves of the NSEE. To facilitate longitudinal analysis, the NSEE datasets use a longitudinal variable naming scheme to facilitate longitudinal analysis. 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. For more information on the longitudinal naming scheme users should consult the codebooks for the datasets.
Scope of Project
Subject Terms:
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environmental attitudes;
beliefs;
opinion poll;
energy policy;
public opinion;
renewable energy;
energy;
environmental policy;
climate change;
global warming
Geographic Coverage:
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United States
Time Period(s):
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9/2/2008 – 9/24/2015 (2008-Present)
Universe:
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Adult (age 18 or older) residents of the United States
Data Type(s):
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survey data
Methodology
Sampling:
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The NSEE is conducted as a telephone survey adult (age 18 or older) residents of the United States. In 2008, only landlines were included in the sampling frame, starting in 2009 both landline and cell phones have been included in the sampling frames. See individual waves for more detailed sampling information.
Data Source:
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National Surveys on Energy and Environment
Collection Mode(s):
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computer-assisted telephone interview (CATI)
Scales:
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Several likert-type scales were used.
Weights:
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Weight variables are provided for each dataset. Data are weighted by gender, age, race, income, and education, to reflect population characteristics of the United States as reported by the United States Census Bureau.
Unit(s) of Observation:
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Individual
Geographic Unit:
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State
Related Publications
Published Versions
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