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Learner Reviews & Feedback for Improving your statistical inferences by Eindhoven University of Technology

4.9
stars
508 ratings
165 reviews

About the Course

This course aims to help you to draw better statistical inferences from empirical research. First, we will discuss how to correctly interpret p-values, effect sizes, confidence intervals, Bayes Factors, and likelihood ratios, and how these statistics answer different questions you might be interested in. Then, you will learn how to design experiments where the false positive rate is controlled, and how to decide upon the sample size for your study, for example in order to achieve high statistical power. Subsequently, you will learn how to interpret evidence in the scientific literature given widespread publication bias, for example by learning about p-curve analysis. Finally, we will talk about how to do philosophy of science, theory construction, and cumulative science, including how to perform replication studies, why and how to pre-register your experiment, and how to share your results following Open Science principles. In practical, hands on assignments, you will learn how to simulate t-tests to learn which p-values you can expect, calculate likelihood ratio's and get an introduction the binomial Bayesian statistics, and learn about the positive predictive value which expresses the probability published research findings are true. We will experience the problems with optional stopping and learn how to prevent these problems by using sequential analyses. You will calculate effect sizes, see how confidence intervals work through simulations, and practice doing a-priori power analyses. Finally, you will learn how to examine whether the null hypothesis is true using equivalence testing and Bayesian statistics, and how to pre-register a study, and share your data on the Open Science Framework. All videos now have Chinese subtitles. More than 30.000 learners have enrolled so far! If you enjoyed this course, I can recommend following it up with me new course "Improving Your Statistical Questions"...

Top reviews

YK

Mar 02, 2017

Excellent course. The lecturer has written code snippets that let the students visualize the meaning and interrelationship of p-values confidence-intervals power effect-size bayesian-inference.

MR

Feb 22, 2018

Excellent course with a lot to learn. After 10 years in data analysis it provided me with great new insights and material to further improve my skills and understanding of data analysis

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101 - 125 of 164 Reviews for Improving your statistical inferences

By Thijs

Aug 14, 2019

Great course. Already had some knowledge about statistics, but this course really improved it.

By Mr. J

Feb 24, 2020

Superbly Done synopsis of statistical gotchas and best practice against them. Very Valauble.

By Morio C

Jan 02, 2020

Great course, clear and helpful. I will definitely recommend it to colleagues and students.

By Jose M S

Jun 17, 2017

Quite interesting and well structured. The contents of this course deserve a wide audience.

By Eva D P

Jan 23, 2017

Probably the best stats course I've ever taken (and also the most fun and enlightening)!

By Sergey L

Jan 01, 2020

The course is full of useful insights and practices. I can definitely recommend it!

By Gerald R

Sep 02, 2017

a very thoughtful introduction to the different approaches of statistical reasoning

By Aviv E

Jul 17, 2017

Great course, lots of new tools and materials that really helped me in my study.

By Richard M

Jan 22, 2019

Great course. A lot of topics introduced and explored. Well worth the time.

By Bertin

Nov 17, 2018

This course is amazing, dynamic and entertaining. Daniel Lakens is brilliant.

By Robert H

Oct 01, 2019

Excellent—an absolute must for all PhD students and early-career researchers

By Shambhavi

Jul 30, 2019

Excellent course, taught well with very useful assignments. Would recommend!

By Mesionis I

Jun 06, 2017

Excellent course!!!!!!Really descriptive with great examples and practises!!

By Syarif M

Dec 03, 2016

highly recomended for all level. The explanation is very beginners friendly.

By LIU Y

Mar 22, 2017

Very good!!! I like this course and the hair style of the professor. ^_^

By Danielle L

Aug 29, 2018

An excellent, informative, organized course. Highly recommended!

By Mario R

Apr 10, 2017

Great course! Everybody doing human/social science should do it!

By Rikki L

Apr 30, 2018

The course is excellent. I only wish that I'd enrolled sooner!

By Rodney K

May 10, 2019

Very comprehensive and enjoyable course, highly recommended.

By Xiwen O

Dec 26, 2017

Very great work to help people to listen this great courses!

By sad d

Jan 18, 2017

One of the best Coursera courses! Daniel Lakens for the win!

By Florian W

Mar 14, 2020

Excellent course to get an overview of pratical statistics.

By Md. M I C

Jan 03, 2017

It is good indeed. Such course is needed more on Coursera.

By Tomás d l R M

Nov 08, 2019

Amazing course! Very useful to researchers in any area

By Heidi M

Dec 30, 2016

fun and very informative course - thank you very much!