Experiment Builder SR

The tool enables planning and simulation of social research experiments by guiding users through design selection, parameter specification, and power analysis. It supports parallel, factorial, and crossover designs, with options to adjust for covariates and clustering. Conceptually, users specify expected effects, variability, and design constraints, and the tool computes necessary sample sizes, achievable power, and detectable effect sizes. It also allows comparison of alternative scenarios to identify feasible designs before data collection. Primary beneficiaries are researchers, methodologists, and grant writers who need rigorous, reproducible calculations and transparent assumptions. A core differentiator is integrated scenario evaluation and design adjustments that reflect common research constraints, such as unequal allocation or block randomization, without requiring external software. Core features include parameter inputs, design type selection, power and sample size calculations, scenario comparison, and export-ready outputs for protocols and proposals. Typical use cases include planning a two-arm trial in education policy, a 3-factor factorial design in psychology, or a cluster-randomized field study in public health. The tool emphasizes reproducibility by exporting input configurations and results in machine-readable formats, supporting documentation for IRB submissions and grant applications.