c1

What problem does it solve?

This Skill helps researchers select the most appropriate and rigorous quantitative research designs, moving beyond common or obvious choices to optimize for validity, feasibility, and research goals.

Core Features & Use Cases

• Quantitative Design Selection: Recommends experimental, quasi-experimental, and survey designs tailored to research questions and constraints.
• Validity Analysis: Identifies and suggests controls for internal, external, and construct validity threats.
• Power Analysis & Sampling: Assists with sample size calculations and sampling strategy recommendations.
• Use Case: A social scientist needs to design a study to test the effectiveness of a new educational program. They can use this Skill to explore options beyond a simple pretest-posttest design, considering factorial designs or regression discontinuity if randomization is not feasible, and get guidance on sample size and recruitment.

Quick Start

Use the c1 skill to propose quantitative research designs for a study investigating the impact of remote work on employee productivity, assuming causal inference is highly needed and random assignment is feasible.