quantitative-analysis

What problem does it solve?

This Skill ensures the mathematical rigor, statistical validity, and correct interpretation of numerical research data, preventing common errors like p-hacking or misinterpretation of null results.

Core Features & Use Cases

• Statistical Test Selection: Recommends appropriate tests based on data type and research question.
• Power & Effect Size Analysis: Calculates required sample sizes and interprets effect sizes.
• Advanced Modeling: Supports multilevel modeling, SEM, and non-parametric alternatives.
• Use Case: When analyzing experimental data, use this Skill to select the correct t-test or ANOVA, interpret the effect size, and ensure assumptions are met.

Quick Start

Use the quantitative-analysis skill to select the appropriate statistical test for comparing two independent groups with continuous, normally distributed data.