Sampling Strategies for Effective Research Design

Course Title: Sampling in Research
Designed by: Dr. Divvi Anusha and Dr. Shivashankar Kengadaran

This course offers a foundational understanding of sampling techniques essential for conducting high-quality research. Sampling plays a critical role in ensuring that research findings are valid, reliable, and generalizable to the larger population. The course begins with the basics, introducing the need for sampling and the conditions under which it is applied. Learners will explore two major types of sampling: probability and non-probability sampling. Each method is explained in detail with real-life examples to illustrate its practical application.

Through engaging lectures and examples, participants will learn how to apply techniques such as simple random sampling, systematic sampling, stratified sampling, cluster sampling, multistage and multiphase sampling. The course also covers non-probability methods like convenience, purposive, quota, and snowball sampling. By the end of the course, learners will be able to classify sampling methods, explain their use, and confidently select the most suitable method for their research needs.

This course is ideal for undergraduate and postgraduate students, early-stage researchers, and health professionals who are involved in planning or conducting research. Designed by experienced educators Dr. Divvi Anusha and Dr. Shivashankar Kengadaran, this course is a valuable step toward developing research competence and evidence-based decision-making.