quantitative-methods

Research

Design and execute statistical analyses including regression modeling, hypothesis testing, power analysis, and robustness checks using R, Stata, SPSS, or Python

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How to use this skill

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Prompt to paste

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Source SKILL.md: https://github.com/a5c-ai/babysitter/blob/HEAD/library/specializations/domains/social-sciences-humanities/social-sciences/skills/quantitative-methods/SKILL.md

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Copying this prompt does not install or run the skill. Review third-party files before use. Codex skill guide

Quantitative Methods Skill

Design and execute rigorous statistical analyses for social science research using modern analytical tools.

Overview

The Quantitative Methods skill enables design and execution of statistical analyses including regression modeling, hypothesis testing, power analysis, and robustness checks using R, Stata, SPSS, or Python for rigorous quantitative social science research.

Capabilities

Regression Analysis

Linear regression modeling
Logistic and multinomial regression
Panel data methods
Time series analysis
Hierarchical/multilevel modeling

Hypothesis Testing

Parametric tests
Non-parametric alternatives
Multiple comparison correction
Effect size estimation
Confidence interval construction

Power Analysis

Sample size determination
Effect size specification
Power calculation
Design optimization
Sensitivity analysis

Robustness Checking

Specification testing
Outlier analysis
Assumption verification
Alternative estimators
Sensitivity analysis

Tool Proficiency

R/RStudio workflows
Stata programming
SPSS procedures
Python (statsmodels, scipy)
Output visualization

Usage Guidelines

When to Use

Designing quantitative studies
Analyzing survey data
Testing hypotheses
Building predictive models
Validating findings

Best Practices

Pre-register analyses
Check assumptions
Report fully
Conduct robustness checks
Document code

Integration Points

Causal Inference Methods skill
Survey Design and Administration skill
Psychometric Assessment skill
Mixed Methods Integration skill

References

Statistical Analysis Pipeline process
Experimental Design process
Multilevel/Hierarchical Modeling process
Quantitative Research Methodologist agent