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Emotional Reactions to the 2016 General Election Debates

Principal Investigator(s): View help for Principal Investigator(s) Kim Fridkin, Arizona State University; Sarah Allen Gershon, Georgia State University

Version: View help for Version V1

Name	File Type	Size	Last Modified
Debate1Data.sav	application/x-spss-sav	106.7 KB	05/21/2019 12:15:PM
Final.PosttestQuestionnairedebate1.pdf	application/pdf	117.8 KB	03/25/2019 08:07:AM
Final.pretestQuestionniaredebate1.pdf	application/pdf	143.8 KB	04/02/2019 09:48:AM

Project Citation:

Fridkin, Kim, and Gershon, Sarah Allen. Emotional Reactions to the 2016 General Election Debates. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2019-05-22. https://doi.org/10.3886/E109864V1

Project Description

Summary: This experimental study examines emotional reactions to the first 2016 presidential debate (9/26/2016). Employing both pre/post-test questionnaires and facial recognition software, viewers reactions are tracked in real time during the debate and after the debate is over. Measures include, subject demographic characteristics, political attitudes and pre/post-test attitudes towards the candidates, as well as frame-by-frame tracking of emotional reactions during the debate in the experimental conditions.

Funding Sources: National Science Foundation (1650397)

Scope of Project

Subject Terms: Debates; Emotions; experiment

Geographic Coverage: Data collected at universities in the Southwestern and Southeastern US

Time Period(s): 9/26/2016 – 9/26/2016

Collection Date(s): 9/26/2016 – 9/26/2016

Universe: Student sample

Data Type(s): experimental data

Methodology

Sampling: The student sample was recruited largely from undergraduate political science courses at the 2 sites. Students were randomly assigned to the experimental and control conditions.

Collection Mode(s): mixed mode

Scales: Several Likert-type scales were used.

Weights: none

Unit(s) of Observation: individuals

Related Publications

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Published Versions

V2 [2020-05-18]

V1 [2019-05-22]

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