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

750 ratings

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


May 13, 2021

Eye opening course. My first introduction to some of the issues surrounding p-values as well as how to better utilize them and what they truly represent. My first introduction to effect sizes as well.


Feb 23, 2020

Easy to follow, well structured, good references, empathy of presenter. I will recomend this to other friends who made Black Belt certification and still don't have clear what the Pvalue is for.

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151 - 175 of 245 Reviews for Improving your statistical inferences

By Rahul P S

Sep 21, 2021

The instructor has explained fine details in statistical inferences. Very informative course.

By Cezar D S d S

May 28, 2021

Awesome course! I've had amost given up on learning this topic. Thanks for renewing my faith

By Mr. J

Feb 24, 2020

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

By Andres B C

Oct 18, 2022

Buen curso, excelentes explicaciones. Todo lo evaluado se enseña previamente. Recomendado!

By Morio C

Jan 2, 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 Tamires M

Nov 30, 2020

I never thought I would say that about statistics, but: It was fun! Thank you Dr. Lakens!

By Patrick H

Aug 10, 2020

This course should be taken by any psychologist (and actually anyone who does statistics)

By Eva D P

Jan 23, 2017

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

By Carlo D V

Aug 21, 2020

This course was very useful. I recommend it to anyone who wants to deepen these topics.

By Sergey L

Jan 1, 2020

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

By Gerald R

Sep 2, 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 Abbas S

Mar 21, 2021

This great course changed my knowledge about researching methods significantly.

By Linda

Sep 16, 2020

very well presented by D. Lakens. It was a difficult course but very rewarding.

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 1, 2019

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

By Shambhavi C

Jul 30, 2019

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

By Ioannis M

Jun 6, 2017

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

By Syarif M

Dec 3, 2016

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

By Hinke E D

Jan 23, 2022

Very helpful course, interesting and important subject are being treated.

By Emanuele C

Nov 2, 2020

Dr Lakens is a great teacher. Every researcher should follow this course


Mar 22, 2017

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

By Brent R

Dec 28, 2020

This was a very informative, interesting, simple and logical course!