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Отзывы учащихся о курсе Improving your statistical inferences от партнера Технический университет Эйндховена

Оценки: 700
Рецензии: 232

О курсе

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"...

Лучшие рецензии

13 мая 2021 г.

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.

10 июля 2021 г.

Solid course which taught me how to interpret p-values in a variety of contexts and taught me to not just to consider but (systematic and practical) ways of how to correct for publication bias.

Фильтр по:

151–175 из 232 отзывов о курсе Improving your statistical inferences

автор: Aviv E

17 июля 2017 г.

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

автор: abbas s

21 мар. 2021 г.

This great course changed my knowledge about researching methods significantly.

автор: Linda

16 сент. 2020 г.

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

автор: Richard M

22 янв. 2019 г.

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

автор: Bertin

17 нояб. 2018 г.

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

автор: Robert H

1 окт. 2019 г.

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

автор: Shambhavi C

30 июля 2019 г.

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

автор: Mesionis I

6 июня 2017 г.

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

автор: Syarif M

3 дек. 2016 г.

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

автор: Hinke E D

23 янв. 2022 г.

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

автор: Emanuele C

2 нояб. 2020 г.

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

автор: LIU Y

22 мар. 2017 г.

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

автор: Brent R

28 дек. 2020 г.

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

автор: Danielle L

29 авг. 2018 г.

An excellent, informative, organized course. Highly recommended!

автор: Mario R

10 апр. 2017 г.

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

автор: Rikki L

30 апр. 2018 г.

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

автор: Rodney K

31 дек. 2021 г.

Very comprehensive and enjoyable course, highly recommended.

автор: Xiwen O

26 дек. 2017 г.

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

автор: sad d

18 янв. 2017 г.

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

автор: Lim K Y

23 авг. 2020 г.

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

автор: Florian W

14 мар. 2020 г.

Excellent course to get an overview of pratical statistics.

автор: Md. M I C

3 янв. 2017 г.

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

автор: Marco Z

21 июля 2021 г.

I would recommend this course to everyone starting a PhD.

автор: Tiago L

24 авг. 2020 г.

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

автор: Fernando B

3 сент. 2021 г.

The best course on the subject I have seen in my life!