Back to Search
Start Over
Summary Plots With Adjusted Error Bars: The superbFramework With an Implementation in R
- Source :
- Advances in Methods and Practices in Psychological Science; August 2021, Vol. 4 Issue: 3
- Publication Year :
- 2021
-
Abstract
- Plotting the data of an experiment allows researchers to illustrate the main results of a study, show effect sizes, compare conditions, and guide interpretations. To achieve all this, it is necessary to show point estimates of the results and their precision using error bars. Often, and potentially unbeknownst to them, researchers use a type of error bars—the confidence intervals—that convey limited information. For instance, confidence intervals do not allow comparing results (a) between groups, (b) between repeated measures, (c) when participants are sampled in clusters, and (d) when the population size is finite. The use of such stand-aloneerror bars can lead to discrepancies between the plot’s display and the conclusions derived from statistical tests. To overcome this problem, we propose to generalize the precision of the results (the confidence intervals) by adjusting them so that they take into account the experimental design and the sampling methodology. Unfortunately, most software dedicated to statistical analyses do not offer options to adjust error bars. As a solution, we developed an open-access, open-source library for R—superb—that allows users to create summary plots with easily adjusted error bars.
Details
- Language :
- English
- ISSN :
- 25152459 and 25152467
- Volume :
- 4
- Issue :
- 3
- Database :
- Supplemental Index
- Journal :
- Advances in Methods and Practices in Psychological Science
- Publication Type :
- Periodical
- Accession number :
- ejs57968863
- Full Text :
- https://doi.org/10.1177/25152459211035109