Book contents
- Frontmatter
- Contents
- List of Figures
- List of Tables
- List of Boxes
- List of Contributors
- Acknowledgements
- 1 A New Era of Experimental Political Science
- Part I Experimental Designs
- Part II Experimental Data
- Part III Experimental Treatments and Measures
- Part IV Experimental Analys is and Presentation
- 14 Advances in Experimental Mediation Analysis
- 15 Subgroup Analysis: Pitfalls, Promise, and Honesty
- 16 Spillover Effects in Experimental Data
- 17 Visualize as You Randomize: Design-Based Statistical Graphs for Randomized Experiments
- Part V Experimental Reliability and Generalizability
- Part VI Using Experiments to study Identity
- Part VII Using Experiments to Study Government Actions
- Author Index
- Subject Index
17 - Visualize as You Randomize: Design-Based Statistical Graphs for Randomized Experiments
from Part IV - Experimental Analys is and Presentation
Published online by Cambridge University Press: 08 March 2021
- Frontmatter
- Contents
- List of Figures
- List of Tables
- List of Boxes
- List of Contributors
- Acknowledgements
- 1 A New Era of Experimental Political Science
- Part I Experimental Designs
- Part II Experimental Data
- Part III Experimental Treatments and Measures
- Part IV Experimental Analys is and Presentation
- 14 Advances in Experimental Mediation Analysis
- 15 Subgroup Analysis: Pitfalls, Promise, and Honesty
- 16 Spillover Effects in Experimental Data
- 17 Visualize as You Randomize: Design-Based Statistical Graphs for Randomized Experiments
- Part V Experimental Reliability and Generalizability
- Part VI Using Experiments to study Identity
- Part VII Using Experiments to Study Government Actions
- Author Index
- Subject Index
Summary
A good statistical graph for a randomized experiment simultaneously conveys the study's design, analysis, and results. It reveals the experimental design by mapping design elements to aesthetic parameters. It illuminates the analysis by plotting the statistical model in “dataspace.” When the design and analysis of an experiment are encoded in a plot, the interpretation of the experimental results is clarified. “Analyze as you randomize” is a dictum attributed to Fisher that guides interpretations of experimental data. This chapter extends that principle to visualizations of randomized experiments. While not every experiment requires a visualization, those that do should be visualized in ways that communicate the design and results together.
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- Information
- Advances in Experimental Political Science , pp. 320 - 336Publisher: Cambridge University PressPrint publication year: 2021
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