Back to Sampling People, Networks and Records
University of Michigan

Sampling People, Networks and Records

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.

Status: Statistical Analysis
Status: Probability
BeginnerCourse26 hours

Featured reviews

DK

5.0Reviewed 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

KS

4.0Reviewed Mar 14, 2021

Comprehensive Knowledge is provided in the course. Highly skilled faculty member.

JO

5.0Reviewed Jun 19, 2019

The MOST useful class among this survey specializations. Highly recommended.

SS

5.0Reviewed Nov 11, 2017

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

DC

5.0Reviewed Apr 9, 2021

Best course of the specialization. Great instructor.

AM

5.0Reviewed May 9, 2020

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

LM

5.0Reviewed Oct 4, 2020

This is a very good course and I especially liked the peer review assessement.

MM

5.0Reviewed May 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.

KD

5.0Reviewed May 20, 2021

Very effective instructor who talks as if he's actually in class with you, rather than reading from slides.

All reviews

Showing: 20 of 33

Carlos F. Pavon
5.0
Reviewed Dec 28, 2019
Mohammad Morshedloo
5.0
Reviewed May 28, 2017
marine henry
1.0
Reviewed Jun 24, 2019
La Verne Mapp
5.0
Reviewed Oct 5, 2020
Jiangda Ou
5.0
Reviewed Jun 19, 2019
Sangha
5.0
Reviewed Nov 12, 2017
Georges Compaore
5.0
Reviewed Sep 2, 2017
Evan
4.0
Reviewed Apr 13, 2017
Victoria Farmer
4.0
Reviewed Apr 20, 2017
Iyshia Lowman
3.0
Reviewed Nov 8, 2018
Omotayo Jemiluyi (Tayoluyis)
1.0
Reviewed Oct 26, 2023
Rawaz M.J. Sulaiman
1.0
Reviewed Apr 4, 2017
G P
5.0
Reviewed Feb 27, 2018
Dunston Kwayumba
5.0
Reviewed Jun 13, 2020
Aizhan Mukhyshbayeva
5.0
Reviewed May 10, 2020
Kelly Dunn
5.0
Reviewed May 21, 2021
The Butterfly & The Sun
5.0
Reviewed May 1, 2017
Daniele Cavassa
5.0
Reviewed Apr 10, 2021
Kathleen j Dwiel
5.0
Reviewed May 9, 2018
Federico Blanco
5.0
Reviewed Sep 14, 2017