Individual skill
smr-simulation-studies
Use when designing the Monte Carlo simulation study for a Sociological Methods & Research (SMR) paper — data-generating processes, competing methods, performance metrics, and the regimes where the method wins or breaks. Designs the simulation; does not derive properties or run the real-data illustration.
Sociological-Methods-and-Research-Skills/skills/smr-simulation-studies/SKILL.md
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# SMR Simulation Studies
Use this to build the Monte Carlo that an SMR reviewer will trust. At a methods journal the
simulation is not a formality — it is the primary evidence that the analytical properties hold in
finite samples and that the method beats real competitors. A weak or self-serving simulation sinks
otherwise sound papers.
## Design the DGP space deliberately
Reviewers attack the data-generating process first. Specify it as a designed experiment, not a
convenient example:
- **Factors and levels**: sample size (and, for panels/networks, the relevant dimensions), the
parameter that controls the difficulty (effect size, dependence, missingness rate, sparsity), and