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.
Sampling People, Networks and Records
This course is part of Survey Data Collection and Analytics Specialization
Instructor: James M Lepkowski
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(103 reviews)
What you'll learn
Understand the value and risks sampling and randomization methods bring to scientific investigation
Differentiate different types of sampling methods and their applications
Explain the principles and techniques of probability sampling methods
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There are 6 modules in this course
What's included
10 videos10 readings
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7 videos7 readings1 assignment1 peer review
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10 videos6 readings1 assignment1 peer review
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6 videos6 readings1 assignment
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5 videos4 readings1 peer review
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6 videos9 readings1 assignment
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Reviewed on May 20, 2021
Very effective instructor who talks as if he's actually in class with you, rather than reading from slides.
Reviewed on Jun 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
Reviewed on Mar 14, 2021
Comprehensive Knowledge is provided in the course. Highly skilled faculty member.
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