Raw Data Visualization for Common Factorial Designs Using SPSS: A Syntax Collection and Tutorial.

Area of Science:

• Data Visualization
• Scientific Communication
• Statistical Software

Background:

• Traditional data visualization relies on summary statistics, obscuring raw data distributions.
• A lack of accessible tools for raw data visualization in IBM SPSS Statistics hinders transparent scientific reporting.

Purpose of the Study:

• To provide a comprehensive, freely available collection of SPSS syntax files for raw data visualization.
• To enable researchers to create transparent graphs displaying raw data alongside statistical measures.

Main Methods:

• Developed over 100 SPSS syntax files and an SPSS dataset template.
• Syntax supports various designs including one-sample, between-subject, within-subject, and mixed designs.
• Graphs can display raw data points, central tendency (mean, median), and dispersion (95% CI, SD).

Main Results:

• A versatile collection of syntax files for creating transparent data visualizations in SPSS.
• Syntax allows for customization and application across diverse research designs.
• Tutorials and example datasets are provided for practical implementation.

Conclusions:

• The provided SPSS syntax collection offers a valuable tool for enhancing data transparency in research.
• Facilitates improved scientific communication by enabling visualization of raw data distributions.
• Empowers researchers, students, and educators to adopt more rigorous data visualization practices.