Replication Data for: Is a Picture Worth 280 Characters? Contextually Realistic Graphics vs. Plain Text in Survey Experiments (doi:10.7910/DVN/KTAJ9N)

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Replication Data for: Is a Picture Worth 280 Characters? Contextually Realistic Graphics vs. Plain Text in Survey Experiments

doi:10.7910/DVN/KTAJ9N

Harvard Dataverse

2024-05-30

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Harris, Benjamin, 2024, "Replication Data for: Is a Picture Worth 280 Characters? Contextually Realistic Graphics vs. Plain Text in Survey Experiments", https://doi.org/10.7910/DVN/KTAJ9N, Harvard Dataverse, V1

Replication Data for: Is a Picture Worth 280 Characters? Contextually Realistic Graphics vs. Plain Text in Survey Experiments

doi:10.7910/DVN/KTAJ9N

Harris, Benjamin (Massachusetts Institute of Technology)

Harvard Dataverse

Harris, Benjamin

Harris, Benjamin

2024-05-24

https://doi.org/10.7910/DVN/KTAJ9N

Social Sciences, survey methodology, experimental research, mass media and political communication, public opinion, international relations

As survey experiments have become increasingly common in political science, some scholars have questioned whether inferences about the real-world can be drawn from experiments involving hypothetical, text-based scenarios. In response to this criticism, some researchers recommended using realistic, context-heavy vignettes while others argue that abstract vignettes do not generate substantially different results. We contribute to this debate by evaluating whether incorporating contextually realistic graphics into survey experiment vignettes affects experimental outcomes. We field three original experiments that vary whether respondents are shown a realistic graphic or a plain text description during an international crisis. In our experiments, varying whether respondents are shown realistic graphics or plain text descriptions generally yields little difference in outcomes. Our findings have implications for survey methodology and experiments in political science—researchers may not need to invest the time to develop contextually realistic graphics when designing experiments.

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Code Log File,-Experiment-3,-November-2023--Appendix-D-.pdf

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Code Log File,-Experiment-3,-November-2023--Appendix-D

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Code Log File,-Experiments-1-and-2,-June-2023--Appendix-B-.pdf

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Code Log File,-Experiments-1-and-2,-June-2023--Appendix-B

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Code Log File,-Follow-On-Experiments,-June-2023--Appendix-C-.pdf

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Code Log File,-Follow-On-Experiments,-June-2023--Appendix-C

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Code, Experiment 3, November 2023 (Appendix D).Rmd

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Code, Experiment 3, November 2023 (Appendix D

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Code, Experiments 1 and 2, June 2023 (Appendix B).Rmd

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Code, Experiments 1 and 2, June 2023 (Appendix B)

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Code, Follow-On Experiments, June 2023 (Appendix C).Rmd

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Code, Follow-On Experiments, June 2023 (Appendix C)

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Data, Experiment 3, November 2023.csv

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Data, Experiment 3, November 2023

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Data, Experiments 1 and 2, June 2023.csv

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Data, Experiments 1 and 2, June 2023

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Data, Follow-On Experiments, June 2023.csv

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Data, Follow-On Experiments, June 2023

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