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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
625 個評分
203 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

YK
2017年3月1日

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.

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 203 個)

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 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

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. ^_^

創建者 Danielle L

2018年8月29日

An excellent, informative, organized course. Highly recommended!

創建者 Mario R

2017年4月10日

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

創建者 Rikki L

2018年4月30日

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

創建者 Rodney K

2019年5月10日

Very comprehensive and enjoyable course, highly recommended.

創建者 Xiwen O

2017年12月26日

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

創建者 sad d

2017年1月18日

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

創建者 Lim K Y

2020年8月23日

very informative and hands-on approach. thank you Dr Lakens

創建者 Florian W

2020年3月14日

Excellent course to get an overview of pratical statistics.

創建者 Md. M I C

2017年1月3日

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

創建者 Tiago L

2020年8月24日

Magnific! Best statistics course I've ever seen anywhere.