ANES WEB: American National Election Studies 2018-2021

ANES 网站：2018-2021 年美国全国选举研究

• 批准号: 1835022
• 负责人: Shanto Iyengar
• 金额: $ 382.5万
• 依托单位: Stanford University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-09-15 至 2023-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1835022&HistoricalAwards=false
• 关键词: ANES; WEB; American; National; Election

The ANES Web 2020 study is designed to build upon the world's longest-running time series of survey data on the vital signs of democracy. By uncovering the determinants of vote choice and political participation in the 2020 presidential election, the 2020 ANES will yield high-quality data focusing on questions that go to the heart of democratic governance including citizens' satisfaction with their government and their ability to hold political leaders accountable. While the 2020 study continues the tradition of a fresh cross-section sample, it also includes two panel components that allow researchers to examine changes in American public opinion over an especially turbulent period of national politics. Re-interviews with 2016 ANES respondents will shed light on long-term changes in attitudes following the election of President Trump. Re-interviews with a sub-sample of respondents who completed the General Social Survey in the spring of 2020 will illuminate more short-term shifts in beliefs and opinions over the course of the 2020 campaign. Overall, the ANES 2020 study provides researchers with strong leverage over the dynamics of voter decision making. The 2020 study will continue to serve as a benchmark for research on American public opinion. The study will survey at least 3,500 Americans, recruited by mail to complete questionnaires online. These participants will be recruited in three samples: (1) a new sample of 1,200 Americans, selected and recruited using a high-response-rate protocol developed through extensive testing in 2016; (2) re-interviews with 1,400 respondents who completed the ANES interviews in 2016; (3) re-interviews with 900 respondents who completed the General Social Survey earlier in 2020. These datasets will permit groundbreaking research on many important questions that would not be possible with a single cross-sectional study, providing unique opportunities to map continuity and change in American politics. The 2020 study also extends recent and ongoing ANES efforts to reshape the trajectory of large-scale survey research with high-quality mail-to-web data collection, and features the first-ever collaboration between ANES and GSS. Sub-samples of around 500 Latinos and 500 African-Americans will exceed previous ANES studies and allow researchers to investigate the role of race in reshaping major party coalitions and as a force that propels voters to the polls. Given the powerful effects of gender on voters' attitudes in 2016, the 2020 study will continue to highlight gender-related issues in the survey instrument.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

ANES Web 2020 研究旨在建立世界上最长的民主生命体征调查数据时间序列。 通过揭示 2020 年总统选举中投票选择和政治参与的决定因素，2020 年 ANES 将产生高质量的数据，重点关注民主治理的核心问题，包括公民对政府的满意度以及追究政治领导人责任的能力。虽然 2020 年的研究延续了新鲜横截面样本的传统​​，但它还包括两个小组组成部分，使研究人员能够研究美国公众舆论在国家政治特别动荡时期的变化。 对 2016 年 ANES 受访者的重新采访将揭示特朗普总统当选后态度的长期变化。对 2020 年春季完成综合社会调查的受访者子样本进行重新访谈，将揭示 2020 年竞选过程中信仰和观点的更多短期变化。总体而言，ANES 2020 研究为研究人员提供了对选民决策动态的强大影响力。 2020年的研究将继续作为美国舆论研究的基准。该研究将调查至少 3,500 名美国人，通过邮寄方式招募来完成在线调查问卷。这些参与者将通过三个样本进行招募：(1) 1,200 名美国人的新样本，使用 2016 年通过广泛测试开发的高应答率方案进行选择和招募； (2) 对 2016 年完成 ANES 访谈的 1,400 名受访者进行重新访谈； (3) 对 2020 年初完成综合社会调查的 900 名受访者进行重新访谈。这些数据集将允许对许多重要问题进行突破性研究，而这些问题是通过单一横断面研究不可能实现的，为绘制美国政治的连续性和变化提供了独特的机会。 2020 年的研究还扩展了 ANES 最近和正在进行的努力，通过高质量的邮件到网络数据收集来重塑大规模调查研究的轨迹，并以 ANES 和 GSS 之间的首次合作为特色。大约 500 名拉丁裔美国人和 500 名非裔美国人的子样本将超过 ANES 之前的研究，并使研究人员能够调查种族在重塑主要政党联盟以及推动选民参加投票的力量中的作用。鉴于 2016 年性别对选民态度的强大影响，2020 年的研究将继续在调查工具中强调与性别相关的问题。该奖项反映了 NSF 的法定使命，并通过使用基金会的智力优点和更广泛的影响审查标准进行评估，被认为值得支持。

项目成果

Measuring Political Knowledge and Not Search Proficiency in Online Surveys

在在线调查中衡量政治知识而不是搜索能力

• DOI: 10.1093/ijpor/edac002
• 发表时间: 2022
• 期刊: International journal of public opinion research
• 影响因子: 1.8
• 作者: DeBell, Matthew

Campaign Contributions, Independent Expenditures, and the Appearance of Corruption: Public Opinion vs. the Supreme Court's Assumptions

竞选捐款、独立支出和腐败现象：公众舆论与最高法院的假设

• DOI: 10.1089/elj.2019.0610
• 发表时间: 2021
• 期刊: and Policy
• 作者: DeBell, Matthew;Iyengar, Shanto
• 通讯作者: Iyengar, Shanto

A randomized experiment evaluating survey mode effects for video interviewing

评估视频采访调查模式效果的随机实验

• DOI: 10.1017/psrm.2022.30
• 发表时间: 2023
• 期刊: Political Science Research and Methods
• 影响因子: 3.9
• 作者: Endres, Kyle;Hillygus, D. Sunshine;DeBell, Matthew;Iyengar, Shanto
• 通讯作者: Iyengar, Shanto

The Visible Cash Effect with Prepaid Incentives: Evidence for Data Quality, Response Rates, Generalizability, and Cost

预付费激励的可见现金效应：数据质量、响应率、普遍性和成本的证据

• DOI: 10.1093/jssam/smac032
• 发表时间: 2022
• 期刊: Journal of Survey Statistics and Methodology
• 影响因子: 2.1
• 作者: DeBell, Matthew

Experimental Effects of Advance Postcards, Survey Title, Questionnaire Length, and Questionnaire Content on Response Rates and Incentive Costs in a Mail Non-Response Follow-Up Survey

预先明信片、调查标题、调查问卷长度和调查问卷内容对邮件无回复后续调查中回复率和激励成本的实验影响

• DOI: 10.29115/sp-2022-0002
• 发表时间: 2022
• 期刊: Survey practice
• 作者: DeBell, Matthew