American National Election Studies 2020 Time Series // anes2020

ANES 2020 Time Series Study. Pre- and post-election surveys around the 2020 US presidential election covering vote choice, political attitudes, media use and demographics.

数据来源:ANES — Stanford University, University of Michigan, NSF · 版本:2020 · 更新:2022-02 · 官方页面

常用研究方向

American National Election Studies 2020 Time Series 共收录 12 个变量——其中常被用作因变量的 5 个、用作核心自变量的 4 个、用作控制变量的 6 个。本数据集常见的研究方向包括:Income and partisan identification、Education and 2020 presidential vote。

Income and partisan identification:因变量 V201228,核心自变量 V201617x,建议控制 V201507xV201600V201549x

Education and 2020 presidential vote:因变量 V202073,核心自变量 V201511x,建议控制 V201507xV201600V201549x

variables · 变量清单(12 个)

变量名标签类型/角色数据文件说明 · 关键词
V200001Case ID
Case ID
identifier / identifiermainUnique respondent identifier
idcase
V200010aPre-election Weight
Full-sample Pre-election Weight
continuous / controlmainSurvey weight for pre-election sample
weight
V201507xAge
Age (years)
continuous / controlmainRespondent age in years
age
V201600Sex
Sex
binary / controlmainRespondent sex
sexgender
V201549xRace/Ethnicity Summary
Race / Ethnicity (Summary)
categorical / controlmainSelf-identified race-ethnicity, summary categories
raceethnicity
V201511xEducation
Highest Level of Education (5-cat)
ordinal / iv,controlmainHighest education completed
educationschooling
V201617xFamily Income
Total Family Income (22-bracket)
ordinal / iv,controlmainFamily income, banded into 22 categories
incomefamily
V201200Liberal-Conservative 7-pt
Liberal-Conservative Self-placement (7-pt)
ordinal / iv,dvmain7-point ideological self-placement
ideologyliberalconservative
V201228Party ID 7-pt
Party Identification (7-pt)
ordinal / iv,dvmain7-point partisan identification
partypartisanship
V202072Voted in 2020
Voted in 2020 General Election
binary / dvmainSelf-reported turnout in 2020 general election
voteturnoutelection
V202073Presidential Vote 2020
Presidential Vote Choice 2020
categorical / dvmainFor whom respondent voted in 2020 presidential election
votepresidentialbidentrump
V201233Govt Trust
Trust in Federal Government
ordinal / dvmainHow often trust the federal government to do what is right
trustgovernment

把变量直接用起来

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