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Sampling People, Networks and Records, University of Michigan

4.5
41 個評分
14 個審閱

課程信息

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....

熱門審閱

創建者 MM

May 28, 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.

創建者 SS

Nov 12, 2017

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

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14 個審閱

創建者 Iyshia Lowman

Nov 08, 2018

This course was pretty difficult to me. I think that if there was a summary of the formulas and what the symbols meant that it would've been more helpful. Sometimes the examples did not seem that helpful, they were just a distraction

創建者 Simon

Jul 07, 2018

Great presentation of the materials

創建者 Kathleen j Dwiel

May 09, 2018

It is a tough course, but I learned so much

創建者 G P

Feb 27, 2018

A brilliant course for everybody interested in surveys and polls based on samples - whether as a producer of data who has to draw samples him- or herself or as a consumer of statistics wondering how scientists can make statements about a population by asking or examining just a few.

創建者 Anna Bellido Rivas

Jan 29, 2018

Great course

創建者 Sangha

Nov 12, 2017

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

創建者 Federico Blanco

Sep 14, 2017

Great course and excellent teaching.

創建者 Compaoré Georges Dayitaba

Sep 02, 2017

It was a fantastic course.

創建者 Mohammad Morshedloo

May 28, 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.

創建者 Guy Fabrice Hondt

May 01, 2017

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