This course is part of the Survey Data Collection and Analytics Specialization

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stars
94 ratings

James M Lepkowski

10,214 already enrolled

Offered By

Survey Data Collection and Analytics SpecializationUniversity of Michigan

About this Course

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Good data collection is built on good samples.  But the samples can be chosen in many ways.  Samples can be haphazard or convenient selections of persons, or records, or networks, or other units, but one questions the quality of such samples, especially what these selection methods mean for drawing good conclusions about a population after data collection and analysis is done.  Samples can be more carefully selected based on a researcher’s judgment, but one then questions whether that judgment can be biased by personal factors.  Samples can also be draw in statistically rigorous and careful ways, using random selection and control methods to provide sound representation and cost control.  It is these last kinds of samples that will be discussed in this course.  We will examine simple random sampling that can be used for sampling persons or records, cluster sampling that can be used to sample groups of persons or records or networks, stratification which can be applied to simple random and cluster samples, systematic selection, and stratified multistage samples.  The course concludes with a brief overview of how to estimate and summarize the uncertainty of randomized sampling.

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Course 4 of 7 in the

Survey Data Collection and Analytics Specialization

Beginner Level

Approx. 25 hours to complete

English

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Flexible deadlines

Reset deadlines in accordance to your schedule.

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Coursera Labs

Includes hands on learning projects.

Learn more about Coursera Labs

Course 4 of 7 in the

Survey Data Collection and Analytics Specialization

Beginner Level

Approx. 25 hours to complete

English

Could your company benefit from training employees on in-demand skills?

Try Coursera for Business

Instructor

Instructor rating

4.63/5 (11 Ratings)

James M Lepkowski

Research Professor

Survey Research Center, Institute for Social Research

10,882 Learners

3 Courses

Offered by

University of Michigan

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Syllabus - What you will learn from this course

Week1

Week 1

4 hours to complete

Module 1: Sampling as a research tool

4 hours to complete

10 videos (Total 145 min), 10 readings

10 videos

1.0 - Course Introduction15m1.1 - Research Design and Sampling - Part 119m1.1 - Research Design and Sampling - Part 216m1.2 - Surveys and Sampling12m1.3 - Why Sample At All? - Part 116m1.3 - Why Sample At All? - Part 210m1.4 - Why Might We Randomize, and How Might We Do It?15m1.5 - What Happens When We Randomize?14m1.6 - How Do We Evaluate How Good a Sample Is?13m1.7 - What Kinds of Things Can We Sample?9m

10 readings

Help us learn more about you!10mHow to get your questions answered by the instructor in the discussion forums!10mLecture notes10mLecture notes10mLecture notes10mLecture notes for both videos10mLecture notes10mLecture notes10mLecture notes10mLecture notes10m

Week2

Week 2

6 hours to complete

Mere randomization

6 hours to complete

7 videos (Total 121 min), 7 readings, 2 quizzes

7 videos

2.1 - Simple Random Sampling (SRS)19m2.2 - Mere Randomization: A Short History17m2.3 - The SRS Sampling Distribution - Part 19m2.3 - The SRS Sampling Distribution - Part 222m2.4 - Sample Size18m2.5 - Margin of Error18m2.6 - Sample Size and Population Size16m

7 readings

Lecture notes10mLecture notes10mLecture notes10mLecture notes10mLecture notes10mLecture notes10mNotice for Auditing Learners: Assignment Submission10m

1 practice exercise

Week 230m

Week3

Week 3

5 hours to complete

Saving money using cluster sampling

5 hours to complete

10 videos (Total 168 min), 6 readings, 2 quizzes

10 videos

3.1 - Simple Complex Sampling - Choosing Entire Clusters - Part 126m3.1 - Simple Complex Sampling - Choosing Entire Clusters - Part 219m3.2 - Design Effects and Intraclass Correlation - Part 118m3.2 - Design Effects and Intraclass Correlation - Part 215m3.3 - Two-Stage Sampling16m3.4 - Designing for Two-Stage Sampling - Part 115m3.4 - Designing for Two-Stage Sampling - Part 28m3.5 - Dealing With the Real World - Unequal Sized Clusters - Part 115m3.5 - Dealing With the Real World - Unequal Sized Clusters - Part 210m3.6 - Sampling Fraction20m

6 readings

Lecture notes10mLecture notes10mLecture notes10mLecture notes10mLecture notes10mLecture notes10m

1 practice exercise

Week 330m

Week4

Week 4

3 hours to complete

Using auxiliary data to be more efficient

3 hours to complete

6 videos (Total 81 min), 6 readings, 1 quiz

Reviews

4.5

29 reviews

5 stars
71.27%
4 stars
19.14%
3 stars
2.12%
2 stars
1.06%
1 star
6.38%

TOP REVIEWS FROM SAMPLING PEOPLE, NETWORKS AND RECORDS

by GHApr 30, 2017

Very useful course to get the foundation in understanding the sampling process

by MMMay 27, 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 AMMay 9, 2020

I gained solid foundations of sampling techniques from this course. The instructor is excellent, and the course content is very comprehensive.

by DKJun 12, 2020

I was very impressed with the course content as well as the expert presentation. This course has empowered with relevant and practical sampling skills that I will apply in the my work

View all reviews

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.

Frequently Asked Questions

When will I have access to the lectures and assignments?
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
What will I get if I subscribe to this Specialization?
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.
Is financial aid available?
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

More questions? Visit the Learner Help Center.

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Sampling People, Networks and Records

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