Sampling Techniques in Health Management Research
Published 11/2025
Duration: 3h 5m | .MP4 1280x720 30fps(r) | AAC, 44100Hz, 2ch | 1.97 GB
Genre: eLearning | Language: English
Be an expert in handing all the Sampling needs for your Health Management Research
What you'll learn
- Manage sample estimation for research studies in Health Management
- Understand sampling error and optimizing the research outcome
- Understand the salient features and types of probability sampling
- Understand the salient features of non probability sampling
- Calculation of sample for estimation of mean and proportion
- Understand the important concepts like sampling unit, multi stage sampling, Probability Proportion to Size (PPS)
Requirements
- Basic understanding of statistics and research methods.
Description
Understanding sampling is one of the most essential skills for any public health or health management professional. This comprehensive course,"Sampling Techniques in Health Management Research,"is designed to demystify sampling and equip learners with both conceptual clarity and practical, real-world skills. Whether you are a student, researcher, healthcare administrator, or practitioner, this course provides a step-by-step journey through the science and art of sampling.
We begin with an engaging story-the Elephant and the Six Blind Men-to introduce the importance of perspective and representativeness in sampling. From there, the course simplifies foundational concepts by addressing two critical questions that shape all sampling decisions. You will learn what sampling really means in health management, why it is needed, and how it impacts research quality, policy decisions, and program evaluation.
The course dives deep into sample size calculations, sampling error, statistical errors, the bell-shaped curve, and the logic behind determining "How much sample is enough?" Through multiple examples, statistical tables, and AI-assisted computation demonstrations, you will gain confidence in calculating sample sizes for mean, proportion, and various research designs.
You will also explore key sampling methodologies including simple random sampling, systematic sampling, stratified sampling, multistage sampling, and Probability Proportion to Size (PPS). Each method is illustrated with health-sector examples to ensure practical understanding.
By the end of the course, you will be able to design a sampling framework, select the right sampling strategy, compute accurate sample sizes, minimize sampling error, and apply these skills to your own research or field projects. The course concludes with assignments that allow you to apply and test your learning in real-world health management contexts.
This course empowers you to conduct scientifically sound research, make data-driven decisions, and contribute meaningfully to the field of public health and health management.
Who this course is for:
- This is a course for pre-PhD scholars. Professionals who want to carry out research projects and make a career in research and analytics can take up this course.
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