About this course: 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.
Taught by: James M Lepkowski, Research Professor
Survey Research Center, Institute for Social Research
| Basic Info | Course 4 of 7 in the Survey Data Collection and Analytics Specialization |
| Level | Beginner |
| Language | English |
| How To Pass | Pass all graded assignments to complete the course. |
| User Ratings |
- Video: 1.0 - Course Introduction
- Reading: Help us learn more about you!
- Video: 1.1 - Research Design and Sampling - Part 1
- Video: 1.1 - Research Design and Sampling - Part 2
- Video: 1.2 - Surveys and Sampling
- Video: 1.3 - Why Sample At All? - Part 1
- Video: 1.3 - Why Sample At All? - Part 2
- Video: 1.4 - Why Might We Randomize, and How Might We Do It?
- Video: 1.5 - What Happens When We Randomize?
- Video: 1.6 - How Do We Evaluate How Good a Sample Is?
- Video: 1.7 - What Kinds of Things Can We Sample?
- Video: 2.1 - Simple Random Sampling (SRS)
- Video: 2.2 - Mere Randomization: A Short History
- Video: 2.3 - The SRS Sampling Distribution - Part 1
- Video: 2.3 - The SRS Sampling Distribution - Part 2
- Video: 2.4 - Sample Size
- Video: 2.5 - Margin of Error
- Video: 2.6 - Sample Size and Population Size
- Video: 3.1 - Simple Complex Sampling - Choosing Entire Clusters - Part 1
- Video: 3.1 - Simple Complex Sampling - Choosing Entire Clusters - Part 2
- Video: 3.2 - Design Effects and Intraclass Correlation - Part 1
- Video: 3.2 - Design Effects and Intraclass Correlation - Part 2
- Video: 3.3 - Two-Stage Sampling
- Video: 3.4 - Designing for Two-Stage Sampling - Part 1
- Video: 3.4 - Designing for Two-Stage Sampling - Part 2
- Video: 3.5 - Dealing With the Real World - Unequal Sized Clusters - Part 1
- Video: 3.5 - Dealing With the Real World - Unequal Sized Clusters - Part 2
- Video: 3.6 - Sampling Fraction
- Video: 4.1 - Forming Groups
- Video: 4.2 - Sampling Variance
- Video: 4.3 - More On Grouping
- Video: 4.4 - Allocate Sample
- Video: 4.5 - Other Allocations
- Video: 4.6 - Weights to Combine Across Strata
- Video: 5.1 - Systematic Selection
- Video: 5.2 - Intervals With Fractions - Part 1
- Video: 5.2 - Intervals With Fractions - Part 2
- Video: 5.3 - List Order
- Video: 5.4 - Uncertainty Estimation
- Video: 6.1 - Statistical Software for Sample Selection
- Video: 6.2 - Stratified Multistage Sampling
- Video: 6.3 - Weights for Over/Under Sampling
- Video: 6.4 - Nonresponse & Noncoverage Weighting
- Video: 6.5 - Sampling Networks: Multiplicity Weighting
- Video: 6.6 - Non-Probability Sampling
- Reading: Post-course Survey
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Very useful course to get the foundation in understanding the sampling process
Excellent course with very useful material on sampling.
This course was very good, but for people with less calculation experience, it takes far more time than posted. Also, it would be helpful to upload pdfs of slides so that formulas are more easily accessible and we don't have to scan back through videos to find them.
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the most comprehensive course about sampling undoubtedly. Try to take quizzes as well in order to get the most of the course and materials.