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

4.9
stars
793 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

PP

Jun 29, 2020

Excellent explanations. Strong examples. Helpful exercises. Highly recommended for anyone who ever has to conduct inferential statistics or read anything that reports a p value or bayes factor.

YK

Mar 2, 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.

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151 - 175 of 261 Reviews for Improving your statistical inferences

By Amy M

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Nov 3, 2016

Great lectures and really helpful simulations. Very engaging and interesting. Full of useful resources.

By Lydia A

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May 29, 2020

Highly recommendable course. It puts clarity from the most basic concepts to some other new insights.

By Sandra V

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Dec 11, 2016

Extremely useful cours, especially the first 5 weeks! Pleasant and enjoyable. Definitely recommended!

By Fengyuan L

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Aug 1, 2020

excellent course. It solves lots of my question over the p value as well as the statistic analysis.

By Habiba A

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Dec 30, 2016

Easy to follow, light workload, and most importantly: very useful material of supreme importance.

By Thijs

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Aug 14, 2019

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

By Florian K

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Sep 23, 2023

Challenging, but you learn a lot! Took some time, but it was worth it. Thanks for the course!

By Rahul P S

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Sep 21, 2021

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

By Cezar D S d S

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May 28, 2021

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

By Mr. J

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Feb 25, 2020

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

By Andrés B

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Oct 19, 2022

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

By Morio C

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Jan 2, 2020

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

By Tamires M

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Dec 1, 2020

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

By Patrick H

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Aug 10, 2020

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

By Eva D P

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Jan 23, 2017

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

By Carlo D V

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Aug 21, 2020

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

By Sergey L

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Jan 2, 2020

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

By Gerald R

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Sep 3, 2017

a very thoughtful introduction to the different approaches of statistical reasoning

By Aida H

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Apr 21, 2023

Great job! Very important and up-to-date content on statistics and data analysis.

By Aviv E

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Jul 17, 2017

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

By Linda

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Sep 16, 2020

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

By Richard M

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Jan 22, 2019

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

By Bertin

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Nov 18, 2018

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