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學生對 埃因霍温科技大学 提供的 Improving your statistical inferences 的評價和反饋

4.9
678 個評分
219 條評論

課程概述

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"...

熱門審閱

MS
2021年5月13日

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.

PP
2020年6月28日

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.

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126 - Improving your statistical inferences 的 150 個評論(共 217 個)

創建者 Sandra V

2016年12月10日

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

創建者 Fengyuan L

2020年7月31日

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

創建者 Habiba A

2016年12月29日

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

創建者 Thijs

2019年8月14日

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

創建者 Cezar D S d S

2021年5月28日

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

創建者 Mr. J

2020年2月24日

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

創建者 Morio C

2020年1月2日

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

創建者 Jose M S

2017年6月17日

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

創建者 Tamires M

2020年11月30日

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

創建者 Patrick H

2020年8月10日

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

創建者 Eva D P

2017年1月23日

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

創建者 Carlo D V

2020年8月21日

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

創建者 Sergey L

2020年1月1日

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

創建者 Gerald R

2017年9月2日

a very thoughtful introduction to the different approaches of statistical reasoning

創建者 Aviv E

2017年7月17日

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

創建者 abbas s

2021年3月21日

This great course changed my knowledge about researching methods significantly.

創建者 Linda

2020年9月16日

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

創建者 Richard M

2019年1月22日

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

創建者 Bertin

2018年11月17日

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

創建者 Robert H

2019年10月1日

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

創建者 Shambhavi C

2019年7月30日

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

創建者 Mesionis I

2017年6月6日

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

創建者 Syarif M

2016年12月3日

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

創建者 Emanuele C

2020年11月2日

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

創建者 LIU Y

2017年3月22日

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