domains / families / research / sf-data-analysis

sf-data-analysis

separate

Use when executing and reporting the analysis for a Social Forces (SF) manuscript so it survives expert, double-anonymized review — honest uncertainty, robustness, and triangulation appropriate to quantitative, demographic, network, or computational work. Guides analysis norms; it does not fabricate results.

When to use

• Running main and supporting analyses
• Building the results section
• Addressing reviewer requests for robustness or heterogeneity
• Reconciling confirmatory vs. exploratory analyses
• Making the analysis reproducible
• Reporting uncertainty and effect sizes
• Handling missing data and survey weights
• Executing analysis via StatsPAI or Stata MCP

When not to use

• Fabricating results
• Design decisions (covered by sf-research-design)
• Formatting tables and figures (covered by sf-tables-figures)
• Data availability statement drafting (covered by sf-data-and-transparency)

Skill page

Source