Research Literacy

Formulating a testable research question involves using the PICOS framework to define Population, Intervention, Comparison, Outcome, and Study design. This structured approach transforms vague ideas into specific, testable hypotheses for cognitive science experiments.

Pre-registration in research design is the process of documenting your planned analysis, assumptions, and method selection before data collection. You need it to protect research rigor, ensure transparency, and prevent bias in cognitive science studies.

Yes, you can use it to plan methodology by selecting appropriate analysis methods, declaring alternatives, and mapping decision points. It enforces human-in-the-loop governance with mandatory pause points for critical decisions to ensure an auditable workflow.

The best way to document assumptions and limitations is through a structured planning protocol that articulates expected outcomes and enumerates potential threats to validity. This ensures every analysis decision has a rationale grounded in theory and design.

AI agents execute analysis immediately without justification because they lack encoded scientific thinking. This skill solves that by enforcing a basic planning protocol that requires theoretical rationale, assumption declaration, and user-confirmation gates before domain-specific actions.