Sampling People, Networks and Records
Master statistical sampling methods for research and surveys. Learn probability-based selection techniques.
Master statistical sampling methods for research and surveys. Learn probability-based selection techniques.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Survey Data Collection and Analytics Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
4.4
(102 ratings)
11,547 already enrolled
Instructors:
English
پښتو, বাংলা, اردو, 2 more
Powered by
What you'll learn
Understand sampling and randomization in scientific research
Differentiate between various sampling methods
Apply probability sampling techniques effectively
Calculate appropriate sample sizes
Evaluate sampling uncertainty and error margins
Skills you'll gain
This course includes:
12.6 Hours PreRecorded video
4 quizzes
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate
Get a Completion Certificate
Share your certificate with prospective employers and your professional network on LinkedIn.
Created by
Provided by
Top companies offer this course to their employees
Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.
There are 6 modules in this course
This comprehensive course explores scientific sampling methods essential for quality data collection. Students learn about various sampling techniques, from simple random sampling to complex cluster and stratified methods. The curriculum covers key concepts including sample size determination, margin of error, and design effects. Special attention is given to practical applications in survey research, network sampling, and systematic selection methods. The course concludes with an overview of statistical software for sample selection and weight calculation.
Sampling as a research tool
Module 1 · 4 Hours to complete
Mere randomization
Module 2 · 5 Hours to complete
Saving money using cluster sampling
Module 3 · 5 Hours to complete
Using auxiliary data to be more efficient
Module 4 · 2 Hours to complete
Simplified sampling
Module 5 · 3 Hours to complete
Pulling it all together
Module 6 · 3 Hours to complete
Fee Structure
Instructor
Research Professor
James M. Lepkowski is Professor and Research Professor, University of Michigan, and Research Professor, Joint Program in Survey Methodology, University of Maryland. He directed the Michigan Program in Survey Methodology and is currently Associate Director of the Program. He has been a member of the faculty of the University of Michigan since 1982, and through his research activities has selected probability samples in the US and a number of other countries in Africa and Asia. His research encompasses telephone sampling design, analysis of complex sample survey data, methods for compensating for missing data in surveys, and the behavior of interviewers and respondents in survey interviews. He has served as a consultant for public and private organizations, including agencies of the U.S. government and private research companies.
Testimonials
Testimonials and success stories are a testament to the quality of this program and its impact on your career and learning journey. Be the first to help others make an informed decision by sharing your review of the course.
Frequently asked questions
Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.