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Related Concept Videos

Interpreting R Charts01:22

Interpreting R Charts

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R chart, or range chart, is a fundamental tool in statistical process control used to monitor the variability within a process. It complements the X-bar (x̄) chart by focusing on the range of the data, rather than individual values, providing a clear picture of the process dispersion over time.
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Topographic maps represent the Earth's surface features using contour lines, which connect points of equal elevation to create a two-dimensional representation of three-dimensional terrain. Creating a topographic map requires a systematic approach.Begin by plotting a scaled grid and marking intersections corresponding to the survey's elevation data points. Assign elevation values at these intersections to build the base map. Next, determine contour levels using a consistent contour interval,...
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A graph for every analysis: Mapping visuals onto common analyses using flexplot.

Dustin A Fife1, Gabrielle Longo2, Michael Correll3

  • 1Rowan University, Psychology, Glassboro, NJ, USA. fife.dustin@gmail.com.

Behavior Research Methods
|February 26, 2021
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Summary
This summary is machine-generated.

Researchers need better graphics for statistical analysis. New software, Flexplot, offers point-and-click tools in JASP and Jamovi to create accurate visualizations alongside every statistical analysis.

Keywords:
Exploratory data analysisFlexplotGraphicsVisualization

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Area of Science:

  • Psychology
  • Statistics
  • Data Visualization

Background:

  • Despite decades of recommendations, researchers underutilize graphical analysis.
  • Many existing graphics are misleading and violate visual processing principles.
  • Current software limitations and the secondary role of visualization hinder adoption.

Purpose of the Study:

  • To advocate for graphical analysis accompanying every statistical analysis.
  • To introduce Flexplot, a novel point-and-click software for creating accurate graphics.
  • To provide a theoretical framework and practical guidance for using Flexplot.

Main Methods:

  • Development and introduction of Flexplot software.
  • Integration of Flexplot within JASP and Jamovi statistical software.
  • Presentation of a theoretical framework underpinning Flexplot's design.

Main Results:

  • Flexplot provides an accessible solution to the lack of graphical analysis.
  • The software addresses limitations of existing visualization tools in psychology.
  • Demonstrates how to perform common statistical analyses with accompanying graphics.

Conclusions:

  • Every statistical analysis should be accompanied by a graphic.
  • Flexplot offers a user-friendly tool to improve data visualization in research.
  • Enhanced graphical analysis can lead to more accurate interpretation of statistical findings.