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July 23, 2026Geographical Analysis

How Software Development Conceals and Constrains Critical Analytic Decisions: Tracing the Encoded Choices Behind a Failure to Reproduce a Spatial Scan Statistic

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Authors

EZEmily ZhouJHJoseph HollerPKPeter Kedron

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Overview

Randomized trial examines how software choices affect analytic outcomes in spatial statistics, highlighting the need for transparency.

Key Points

  • This research investigates how software-encoded choices can conceal critical analytic decisions and impact the reproducibility of findings.
  • Comparative analysis of analytical outputs across different software environments
  • Investigation of software-encoded decisions during a reproduction attempt of a spatial analysis
  • Assessment of the implications of software transparency on research design and conclusions
  • Software-encoded decisions significantly influenced intermediate and final analytical results.
  • Inadequate awareness of software behavior compromised the conceptual rigor of research outputs.
  • Cross-software sensitivity analysis is crucial for ensuring accurate analytic workflows.

Cite This Study

Zhou et al. (2026) studied this question.

synapsesocial.com/papers/6a61afaefaa9903c5116a762https://doi.org/10.1111/gean.70053
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Hidden Decisions in Statistical Software: How Default Settings and Implementation Choices Undermine Reproducibility2026
  2. 2Using LLM-generated tools to extract information about reporting statistical software in biomedical and health science research articles2026
  3. 3Provide Proactive Reproducible Analysis Transparency with Every Publication2024 · 1 citations
  4. 4Statistical Considerations for Research Reproducibility: Strategies for Building Transparent Analytic Workflows2026
  5. 5Raising awareness of uncertain choices in empirical data analysis: A teaching concept toward replicable research practices2024