Udemybeginneren

Sampling Strategies for Effective Research Design

Learn research sampling methods easily! Understand how to select data for accurate results. Perfect for students & researchers.

4.6(3)
372students
30m
Shivashankar Kengadaran
Shivashankar KengadaranPublic health researcher

Course Content

Sampling Strategies for Effective Research Design is a beginner-level Udemy course taught by Shivashankar Kengadaran. It runs 30m and is taught in English. Learners rate it 4.6 out of 5 from 3 reviews, with 372 students enrolled. It is free to enroll, first published June 2025.

Understanding Sampling in Research is fundamental for anyone involved in data collection and analysis. This course, designed by Dr. Divvi Anusha and Dr. Shivashankar Kengadaran, provides a comprehensive introduction to sampling techniques crucial for conducting robust and reliable research. Learn how sampling ensures your research findings are valid, reliable, and can be generalized to a larger population.

The course begins by establishing the importance of sampling and the circumstances where it's most effectively applied. You'll delve into two primary categories: probability sampling and non-probability sampling. Each method is thoroughly explained with practical, real-world examples to clarify its application.

You'll gain hands-on knowledge of various sampling methods, including:

  • Probability Sampling:
    • Simple Random Sampling: Learn how to select a random subset from a population.
    • Systematic Sampling: Discover a structured approach to selecting participants.
    • Stratified Sampling: Understand how to divide a population into subgroups for targeted sampling.
    • Cluster Sampling: Explore sampling groups (clusters) rather than individual units.
    • Multistage and Multiphase Sampling: Learn advanced techniques for complex research designs.
  • Non-Probability Sampling:
    • Convenience Sampling: Understand the ease of selecting readily available participants.
    • Purposive Sampling: Learn how to select participants based on specific criteria.
    • Quota Sampling: Discover how to ensure representation from different subgroups.
    • Snowball Sampling: Explore using existing participants to identify additional participants.

By the end of this course, you will be able to:

  • Classify different sampling methods.
  • Explain the strengths and weaknesses of each sampling technique.
  • Confidently select the most appropriate sampling method for your specific research needs.

This course is perfect for undergraduate students, postgraduate students, early-stage researchers, and health professionals who are involved in research planning and research execution. Develop essential research competence and enhance your ability to make evidence-based decisions through a solid understanding of sampling principles.

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