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学生对 埃因霍温科技大学 提供的 Improving your statistical inferences 的评价和反馈

678 个评分
219 条评论


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"...


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.

Jun 28, 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.


126 - Improving your statistical inferences 的 150 个评论(共 217 个)

创建者 Sandra V

Dec 10, 2016

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

创建者 Fengyuan L

Jul 31, 2020

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

创建者 Habiba A

Dec 29, 2016

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

创建者 Thijs

Aug 14, 2019

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

创建者 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

创建者 Mr. J

Feb 24, 2020

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

创建者 Morio C

Jan 2, 2020

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

创建者 Jose M S

Jun 17, 2017

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

创建者 Tamires M

Nov 30, 2020

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

创建者 Patrick H

Aug 10, 2020

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

创建者 Eva D P

Jan 23, 2017

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

创建者 Carlo D V

Aug 21, 2020

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

创建者 Sergey L

Jan 1, 2020

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

创建者 Gerald R

Sep 2, 2017

a very thoughtful introduction to the different approaches of statistical reasoning

创建者 Aviv E

Jul 17, 2017

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

创建者 abbas s

Mar 21, 2021

This great course changed my knowledge about researching methods significantly.

创建者 Linda

Sep 16, 2020

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

创建者 Richard M

Jan 22, 2019

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

创建者 Bertin

Nov 17, 2018

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

创建者 Robert H

Oct 1, 2019

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

创建者 Shambhavi C

Jul 30, 2019

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

创建者 Mesionis I

Jun 6, 2017

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

创建者 Syarif M

Dec 3, 2016

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

创建者 Emanuele C

Nov 2, 2020

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

创建者 LIU Y

Mar 22, 2017

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