Data Collection & Sampling Library

Understand the foundational strategies used to gather data systematically in research.

Compare structured numerical methods with open-ended, narrative-driven approaches.

Learn about surveys, interviews, observations, and digital tools used in modern research.

Explore probability and non-probability sampling techniques used in scientific studies.

Discover formulas and considerations for calculating adequate sample sizes for studies.

Understand how quota sampling ensures representation by pre-setting population segments.

Evaluate the advantages and limitations of using quota sampling in applied research.

See real-world applications of quota sampling in academic and industry research.

Review advanced digital platforms for collecting and managing research data efficiently.

Explore top-rated tools and apps that support efficient, secure, and scalable data collection.

Learn how to structure data collection workflows tailored for randomized controlled trials.

Discover how automation can streamline the inclusion/exclusion criteria process in studies.

Get tips and templates for documenting your sampling process and justifying your design.