About this Course
4.5
41 ratings
14 reviews
Specialization
100% online

100% online

Start instantly and learn at your own schedule.
Flexible deadlines

Flexible deadlines

Reset deadlines in accordance to your schedule.
Beginner Level

Beginner Level

Hours to complete

Approx. 27 hours to complete

Suggested: 5 hours/week...
Available languages

English

Subtitles: English
Specialization
100% online

100% online

Start instantly and learn at your own schedule.
Flexible deadlines

Flexible deadlines

Reset deadlines in accordance to your schedule.
Beginner Level

Beginner Level

Hours to complete

Approx. 27 hours to complete

Suggested: 5 hours/week...
Available languages

English

Subtitles: English

Syllabus - What you will learn from this course

Week
1
Hours to complete
3 hours to complete

Module 1: Sampling as a research tool

...
Reading
10 videos (Total 145 min), 2 readings
Video10 videos
1.1 - Research Design and Sampling - Part 119m
1.1 - Research Design and Sampling - Part 216m
1.2 - Surveys and Sampling12m
1.3 - Why Sample At All? - Part 116m
1.3 - Why Sample At All? - Part 210m
1.4 - Why Might We Randomize, and How Might We Do It?15m
1.5 - What Happens When We Randomize?14m
1.6 - How Do We Evaluate How Good a Sample Is?13m
1.7 - What Kinds of Things Can We Sample?9m
Reading2 readings
Help us learn more about you!10m
How to get your questions answered by the instructor in the discussion forums!10m
Week
2
Hours to complete
5 hours to complete

Mere randomization

...
Reading
7 videos (Total 121 min), 1 reading, 2 quizzes
Video7 videos
2.2 - Mere Randomization: A Short History17m
2.3 - The SRS Sampling Distribution - Part 19m
2.3 - The SRS Sampling Distribution - Part 222m
2.4 - Sample Size18m
2.5 - Margin of Error18m
2.6 - Sample Size and Population Size16m
Reading1 reading
Notice for Auditing Learners: Assignment Submission10m
Quiz1 practice exercise
Week 220m
Week
3
Hours to complete
5 hours to complete

Saving money using cluster sampling

...
Reading
10 videos (Total 168 min), 2 quizzes
Video10 videos
3.1 - Simple Complex Sampling - Choosing Entire Clusters - Part 219m
3.2 - Design Effects and Intraclass Correlation - Part 118m
3.2 - Design Effects and Intraclass Correlation - Part 215m
3.3 - Two-Stage Sampling16m
3.4 - Designing for Two-Stage Sampling - Part 115m
3.4 - Designing for Two-Stage Sampling - Part 28m
3.5 - Dealing With the Real World - Unequal Sized Clusters - Part 115m
3.5 - Dealing With the Real World - Unequal Sized Clusters - Part 210m
3.6 - Sampling Fraction20m
Quiz1 practice exercise
Week 312m
Week
4
Hours to complete
2 hours to complete

Using auxiliary data to be more efficient

...
Reading
6 videos (Total 81 min), 1 quiz
Video6 videos
4.2 - Sampling Variance14m
4.3 - More On Grouping15m
4.4 - Allocate Sample8m
4.5 - Other Allocations19m
4.6 - Weights to Combine Across Strata5m
Quiz1 practice exercise
Week 412m
4.5
14 ReviewsChevron Right

Top Reviews

By MMMay 28th 2017

the most comprehensive course about sampling undoubtedly. Try to take quizzes as well in order to get the most of the course and materials.

By SSNov 12th 2017

Excellent tutor. Easy to follow and useful coursework. Thanks!

Instructor

Avatar

James M Lepkowski

Research Professor
Survey Research Center, Institute for Social Research

About University of Michigan

The mission of the University of Michigan is to serve the people of Michigan and the world through preeminence in creating, communicating, preserving and applying knowledge, art, and academic values, and in developing leaders and citizens who will challenge the present and enrich the future....

About the Survey Data Collection and Analytics Specialization

This specialization covers the fundamentals of surveys as used in market research, evaluation research, social science and political research, official government statistics, and many other topic domains. In six courses, you will learn the basics of questionnaire design, data collection methods, sampling design, dealing with missing values, making estimates, combining data from different sources, and the analysis of survey data. In the final Capstone Project, you’ll apply the skills learned throughout the specialization by analyzing and comparing multiple data sources. Faculty for this specialisation comes from the Michigan Program in Survey Methodology and the Joint Program in Survey Methodology, a collaboration between the University of Maryland, the University of Michigan, and the data collection firm Westat, founded by the National Science Foundation and the Interagency Consortium of Statistical Policy in the U.S. to educate the next generation of survey researchers, survey statisticians, and survey methodologists. In addition to this specialization we offer short courses, a summer school, certificates, master degrees as well as PhD programs....
Survey Data Collection and Analytics

Frequently Asked Questions

  • Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.

  • When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.

More questions? Visit the Learner Help Center.