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Say farewell to bland regression reporting: Three forest plot variations for visualizing linear models.
Jonathan Fries1, Sandra Oberleiter1, Jakob Pietschnig1
1Department of Developmental and Educational Psychology, Faculty of Psychology, University of Vienna, Vienna, Austria.
Plos One
|February 2, 2024
Summary
This study introduces novel visualizations to present complex regression analysis results. These intuitive plots improve the interpretation and reporting of statistical models in research.
Area of Science:
- Psychology
- Statistics
- Data Visualization
Background:
- Regression analysis is widely used in psychology and other fields.
- Traditional tables for reporting regression coefficients can be difficult to interpret.
- A need exists for more efficient and intuitive methods to visualize regression results.
Purpose of the Study:
- To introduce three novel visualization techniques for reporting regression results.
- To enable the arrangement of numerous regression models within a single plot.
- To offer visually appealing and intuitive alternatives to traditional tables.
Main Methods:
- Demonstrated data transformations required for visualization using real-world and simulated data.
- Utilized open-source R software routines for reproducibility.
- Developed methods for plotting multiple regression models efficiently.
Main Results:
- Successfully created three novel visualization methods for regression results.
- Showcased the ability to display a large number of regression models in a single plot.
- Validated the methods' effectiveness with diverse datasets.
Conclusions:
- The proposed visualizations offer an efficient and intuitive way to report regression results.
- These methods can aid in visual screening during model selection and formal reporting.
- The procedure is fully reproducible and accessible through open-source software.
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