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Learner Reviews & Feedback for Sampling People, Networks and Records by University of Michigan

4.3
stars
103 ratings

About the 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 represe...
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Top reviews

DK

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

AM

May 9, 2020

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

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26 - 31 of 31 Reviews for Sampling People, Networks and Records

By Anna B R

•

Jan 29, 2018

Great course

By Saurav J

•

May 30, 2021

good

By KESHAB K S

•

Mar 15, 2021

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

By Quinn R

•

Nov 7, 2020

Poorly delivered, disorganized, no clear explanations of mathematics needed, caters more to solely auditory learners (very few and mostly unhelpful visuals).

By SJ W

•

Nov 5, 2022

Poor lecturer and the homework can be difficult. Slides are not easy to follow.

By Teodoro R H A

•

Sep 14, 2024

too hard