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Sampling Strategies for Effective Research Design
Rating: 4.5 out of 5(7 ratings)
419 students
Created byShivashankar Kengadaran, Anusha Divvi
Last updated 6/2025
English

What you'll learn

  • At the end of the session, the learner will be able to classify sampling methods
  • At the end of the session, the learner will be able to explain probability sampling methods
  • At the end of the session, the learner will be able to explain non-probability sampling methods
  • At the end of the session, learner will be able to choose a best sample method for a given research

Course content

6 sections • 9 lectures • 43m total length

  • Introduction1:02

    This introduction document provides an overview of the Udemy course titled "Sampling in Research." It outlines the purpose and relevance of the course, specifies the target audience, and clearly lists the learning objectives. By the end of the course, learners will be able to classify sampling techniques, explain both probability and non-probability sampling methods, and select the appropriate sampling method for their own research projects. The document also highlights the course structure, benefits, and prerequisites, serving as a guide for prospective students and course facilitators.

Requirements

  • A basic knowledge regarding healthcare research

Description

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.

Who this course is for:

  • Healthcare researchers
  • Undergraduate Dental students
  • Postgraduate dental students
  • Undergraduate Medical Students
  • Postgraduate medical students

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