Graphical Descriptives: A Way to Improve Data Transparency and Methodological Rigor in Psychology

Area of Science:

• Social Sciences
• Psychology
• Data Analytics

Background:

• Growing demand for increased transparency and methodological rigor in social science research.
• Need for effective tools to support data analysis and interpretation.

Purpose of the Study:

• Propose graphical descriptives (GDs) as a mechanism to enhance research transparency and rigor.
• Illustrate the value of GDs in the peer-review process.
• Promote best practices in data analysis and inductive data understanding.

Main Methods:

• Utilizing graphical descriptives (GDs) for visual data examination.
• Assessing data distributions, variable relationships, and statistical analysis assumptions.
• Providing an online resource (www.graphicaldescriptives.org) for researchers.

Main Results:

• GDs offer a visual approach to understanding psychological data.
• GDs facilitate quick checks of data distributions and variable relations.
• GDs can inform the appropriateness of statistical analyses.

Conclusions:

• GDs can significantly increase transparency in the journal review process.
• Encouraging the use of GDs promotes best practices in data analysis.
• GDs support a more inductive approach to understanding research data.