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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

4.9
627 个评分
205 条评论

课程概述

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"...

热门审阅

PP
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.

YK
Mar 1, 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.

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126 - Improving your statistical inferences 的 150 个评论(共 204 个)

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 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

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. ^_^

创建者 Danielle L

Aug 29, 2018

An excellent, informative, organized course. Highly recommended!

创建者 Mario R

Apr 10, 2017

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

创建者 Rikki L

Apr 30, 2018

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

创建者 Rodney K

May 10, 2019

Very comprehensive and enjoyable course, highly recommended.

创建者 Xiwen O

Dec 26, 2017

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

创建者 sad d

Jan 18, 2017

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

创建者 Lim K Y

Aug 23, 2020

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

创建者 Florian W

Mar 14, 2020

Excellent course to get an overview of pratical statistics.

创建者 Md. M I C

Jan 3, 2017

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