Individual skill
joc-data-analysis
Use when executing and reporting the analysis for a Journal of Communication (JoC) manuscript so it survives expert, double-anonymous review — honest uncertainty, robustness, reliability, and triangulation appropriate to quantitative, computational, or content-analytic work. Guides analysis norms; it does not fabricate results.
Journal-of-Communication-Skills/skills/joc-data-analysis/SKILL.md
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# Data Analysis (joc-data-analysis)
JoC reviewers are methodologically sophisticated, and the journal **requires a Data Availability
Statement** so others can scrutinize how your numbers were produced (see
`joc-open-science-and-transparency`). Analyze as if both are true — because they are. This skill covers
execution and reporting norms; design decisions live in `joc-research-design`.
## When to trigger
- Running main and supporting analyses; building the results section
- A reviewer asked for robustness, heterogeneity, or alternative specifications
- Reconciling preregistered vs. exploratory analyses
- Making the analysis reproducible before deposit
