Simulation, Estimation, and Synthesis

Simulate triadic satisfaction data based on the pre-specified structural causal model and experimental protocol.

Apply the pre-registered analysis plan to the simulated data to recover known causal parameters.

Estimate direct, spillover, and total effects from the experimental data using a model that accounts for interference and carryover.

Conduct a sensitivity analysis for unmeasured confounding on the primary causal estimates (e.g., using E-values).

Evaluate the robustness of causal conclusions to alternative structural model specifications.

Synthesize all results to determine the optimal arrangement and articulate the causal mechanisms responsible for its effectiveness.