New Measures of Partisanship, Ideology, and Policy Mood in the American States

Author:

Carsey Thomas M.,Harden Jeffrey J.

Abstract

AbstractWe construct measures of U.S. state partisan identification, self-reported ideology, and policy mood using data from the 2000 and 2004 National Annenberg Election Surveys (NAES) and the 2006 Cooperative Congressional Election Study (CCES). These measures improve on existing methods for estimating state-level preferences because the surveys provide larger state samples without pooling across years. After detailing our methods for constructing the measures, we assess their validity through comparisons with measures already in use by scholars of state politics. We find that our measures correlate strongly with those created by Erikson, Wright, and McIver (1993) and Berry et al. (1998) and with measures from state-level polls. We conclude that our measures can be useful to research in state politics.

Publisher

Cambridge University Press (CUP)

Subject

Political Science and International Relations,Arts and Humanities (miscellaneous)

Reference47 articles.

1. The Measurement and Stability of State Citizen Ideology;Berry;State Politics and Policy Quarterly,2007

2. Hill, Seth , Lo, James , Vavreck, Lynn , and Zaller, John . 2007. “The Opt-in Internet Panel: Survey Mode, Sampling Methodology and the Implications for Political Research.” University of California at Los Angeles. CCES Manuscript. http://web.mit.edu/polisci/portl/cces/material/HillLoVavreckZaller2007.pdf (May 21, 2008).

3. Public Opinion in the American States: New Perspectives Using National Survey Data;Brace;American Journal of Political Science,2002

4. R Development Core Team. 2008. R: A Language and Environment for Statistical Computing. Vienna, Austria: R Foundation for Statistical Computing. www.r-project.org (January 4, 2010).

5. U.S. State and Local Public Policies in 2006: A New Database;Sorens;State Politics and Policy Quarterly,2008

Cited by 40 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3