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Comentários e feedback de alunos de Improving your statistical inferences da instituição Universidade Tecnológica de Eindhoven

641 classificações
211 avaliações

Sobre o curso

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"...

Melhores avaliações

1 de Mar de 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.

28 de Jun de 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.

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126 — 150 de 209 Avaliações para o Improving your statistical inferences

por Jose M S

17 de Jun de 2017

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

por Tamires M

30 de Nov de 2020

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

por Patrick H

10 de Ago de 2020

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

por Eva D P

23 de Jan de 2017

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

por Carlo D V

21 de Ago de 2020

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

por Sergey L

1 de Jan de 2020

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

por Gerald R

2 de Set de 2017

a very thoughtful introduction to the different approaches of statistical reasoning

por Aviv E

17 de Jul de 2017

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

por Linda

16 de Set de 2020

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

por Richard M

22 de Jan de 2019

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

por Bertin

17 de Nov de 2018

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

por Robert H

1 de Out de 2019

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

por Shambhavi

30 de Jul de 2019

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

por Mesionis I

6 de Jun de 2017

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

por Syarif M

3 de Dez de 2016

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

por Emanuele C

2 de Nov de 2020

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

por LIU Y

22 de Mar de 2017

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

por Brent R

28 de Dez de 2020

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

por Danielle L

29 de Ago de 2018

An excellent, informative, organized course. Highly recommended!

por Mario R

10 de Abr de 2017

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

por Rikki L

30 de Abr de 2018

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

por Rodney K

10 de Mai de 2019

Very comprehensive and enjoyable course, highly recommended.

por Xiwen O

26 de Dez de 2017

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

por sad d

18 de Jan de 2017

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

por Lim K Y

23 de Ago de 2020

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