quantitative-analysis

What problem does it solve?

This Skill addresses the need for accurate statistical analysis, interpretation of numerical data, and the prevention of common analytical errors like p-hacking.

Core Features & Use Cases

• Statistical Test Selection: Guides users to the appropriate statistical tests based on data type and research question.
• Power and Effect Size Analysis: Facilitates the calculation of sample sizes and interpretation of effect magnitudes.
• Advanced Modeling: Supports complex analyses like Multilevel Modeling and SEM.
• Use Case: A researcher needs to determine the correct statistical test to compare two groups with continuous, normally distributed data and wants to understand the practical significance of their findings.

Quick Start

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