survey-methodology

What problem does it solve?

It solves the challenge of building surveys that produce representative, reliable, and analyzable data by guiding questionnaire design, sampling, weighting, and non-response handling.

Core Features & Use Cases

• Questionnaire & instrument design: supports clear wording, appropriate question types, and balanced scale construction to reduce common measurement errors.
• Sampling strategy design: covers SRS, stratified, and multi-stage cluster sampling, plus practical sample size calculation logic.
• Survey weighting & quality control: computes and applies design-aware/raked weights, estimates design effects and effective sample size, and audits non-response patterns.
• Cross-cultural adaptation: provides a translation and adaptation protocol including cognitive interviewing and pilot validation.

Quick Start

Use the survey-methodology skill to design a sampling plan and weighted analysis approach for a new web survey measuring political attitudes.