prompt
FreeRigorous empirical research prompt for social sciences
FreeFree tier
Inputs: textOutputs: text
About prompt
This is a detailed AI prompt designed for an 'Empirical Research Architect' specializing in social sciences. It provides a comprehensive 8-step closed-loop pipeline for quantitative research, covering data import and cleaning, variable construction, descriptive statistics, and 12 classes of diagnostic tests. The prompt is intended to guide an AI or user to produce rigorous, referee-level research from raw data to submission-ready output, with an emphasis on documentation and best practices in econometrics and statistics.
Key Features
8-step closed-loop empirical pipeline from data import to submission-ready output
Comprehensive handling of missing data with MCAR/MAR/MNAR testing and imputation methods
Outlier detection using IQR, z-score, and Mahalanobis distance with theory-driven exclusion
12-class diagnostic test battery covering normality, heteroskedasticity, autocorrelation, multicollinearity, stationarity, endogeneity, weak IV, and more
Detailed documentation requirements with dated research log and codebook discipline
Descriptive statistics with stratified Table 1, correlation heatmaps, and DID motivation plots
Variable construction including transformations, interactions, lags, leads, and staggered-DID variables
Pros & Cons
Pros
- Provides a comprehensive, structured methodology that leaves no critical diagnostic step unmentioned
- Emphasizes documentation and reproducibility with dated logs and codebook discipline
- Covers both theoretical foundations and practical implementation guidance
- Free and open-source prompt available on GitHub
- Designed to produce research that meets academic journal standards
Cons
- Designed for expert users; novices may find the technical depth overwhelming
- The prompt itself is a text file; requires integration with an AI model to execute tasks
- Focuses exclusively on social science quantitative methods, limiting domain applicability
- No code generation or direct tool integration; relies on user to implement steps
Best For
Designing and executing econometric or causal inference studies in social sciencesTeaching or learning rigorous empirical research methodologyAutomating research workflow for economics, political science, sociology, and public healthPreparing submission-ready papers with thorough diagnostic testingValidating existing research designs for peer review