education-sampling-data-management

Use before collecting education research data, or when planning samples, recruitment, participant tracking, school/class/teacher/student data structures, consent, anonymization, data dictionaries, file naming, secure storage, and dataset readiness. This second-layer execution skill supports quantitative, qualitative, mixed-methods, experimental, action rese…

Independent GitHub snapshot · Automated classification · Original documentation governs