26: Reproducible Workflow

Author

Affiliation

Smit, A. J.

University of the Western Cape

1 Introduction

This final chapter closes the loop, moving from statistical theory to professional practice. A sound model is only useful if it is part of a transparent, well-documented, and reproducible workflow. This section provides a practical guide to achieving that.

2 Key Concepts

• Pre-specification vs. Exploration: The importance of distinguishing between analyses planned before seeing the data (confirmatory) and those developed after seeing the data (exploratory).
• Transparent Reporting: Guidelines for what to report about a model, including the model structure, decisions made, diagnostics checked, and clear interpretation of results.
• Linking Code, Models, and Interpretation: Using tools like Quarto to create a single document that weaves together narrative text, executable code, model output, and figures, ensuring a fully reproducible analysis.

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