Psychometric Validation Tutorial for Behavioral Software Engineering

Daniel Graziotin and colleagues provide an executable R Markdown document as an online appendix to their ACM journal paper. This hands-on example introduces psychometric validation methods specifically for a behavioral software engineering audience. The interactive document is designed to be run directly in R Studio, ensuring complete reproducibility of the analysis workflow.

Use Cases

• Learning psychometric evaluation workflows based on the provided R Markdown tutorial
• Reproducing validation analyses based on the executable code examples
• Teaching methodological best practices based on the ACM paper's guidelines
• Applying psychometric tests to software engineering survey instruments based on the described framework

Strengths

• Directly linked to a peer-reviewed ACM Transactions paper, providing academic credibility
• Fully reproducible R Markdown document that can be executed interactively
• Archived on Zenodo with a persistent DOI (10.5281/zenodo.3799603)
• Cross-platform presence on PapersWithCode signals relevance to the research community

Limitations

• Dataset size, row count, and specific column structure are unknown from all sources
• No explicit data files are described; the primary artifact is a tutorial document
• Conflicting publication years cited (2020 vs 2021) across platform entries

Provenance

Source

University of Stuttgart (affiliation of primary author Daniel Graziotin)

Collection Method

Created as an educational appendix to a methodological research paper