Dr David Andersen david.j.andersen@durham.ac.uk
Associate Professor
Dr David Andersen david.j.andersen@durham.ac.uk
Associate Professor
Dr Tessa Ditonto tessa.m.ditonto@durham.ac.uk
Associate Professor
This article examines how the presentation of information during a laboratory experiment can alter a study’s findings. We compare four possible ways to present information about hypothetical candidates in a laboratory experiment. First, we manipulate whether subjects experience a low-information or a high-information campaign. Second, we manipulate whether the information is presented statically or dynamically. We find that the design of a study can produce very different conclusions. Using candidate’s gender as our manipulation, we find significant effects on a variety of candidate evaluation measures in low-information conditions, but almost no significant effects in high-information conditions. We also find that subjects in high-information settings tend to seek out more information in dynamic environments than static, though their ultimate candidate evaluations do not differ. Implications and recommendations for future avenues of study are discussed.
Andersen, D. J., & Ditonto, T. (2018). Information and its Presentation: Treatment Effects in Low-Information vs. High-Information Experiments. Political Analysis, 26(4), 379-398. https://doi.org/10.1017/pan.2018.21
Journal Article Type | Article |
---|---|
Online Publication Date | Aug 3, 2018 |
Publication Date | 2018 |
Deposit Date | Dec 5, 2019 |
Publicly Available Date | Jan 5, 2021 |
Journal | Political Analysis |
Print ISSN | 1047-1987 |
Electronic ISSN | 1476-4989 |
Publisher | Political Methodology Section |
Peer Reviewed | Peer Reviewed |
Volume | 26 |
Issue | 4 |
Pages | 379-398 |
DOI | https://doi.org/10.1017/pan.2018.21 |
Public URL | https://durham-repository.worktribe.com/output/1275985 |
Accepted Journal Article
(577 Kb)
PDF
Publisher Licence URL
http://creativecommons.org/licenses/by-nc/4.0/
Copyright Statement
This article has been published in a revised form in Political Analysis [https://doi.org/10.1017/pan.2018.21]. This version is published under a Creative Commons CC-BY-NC-ND. No commercial re-distribution or re-use allowed. Derivative works cannot be distributed. © The Authors.
Beyond the Presidency, 2016: Women Candidates in Down-Ballot Races
(2020)
Book Chapter
Mitigating gender bias in student evaluations of teaching
(2019)
Journal Article
About Durham Research Online (DRO)
Administrator e-mail: dro.admin@durham.ac.uk
This application uses the following open-source libraries:
Apache License Version 2.0 (http://www.apache.org/licenses/)
Apache License Version 2.0 (http://www.apache.org/licenses/)
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2025
Advanced Search