Chevron Left
返回到 Improving your statistical inferences

学生对 Eindhoven University of Technology 提供的 Improving your statistical inferences 的评价和反馈

4.9
799 个评分

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.

AB

Feb 23, 2020

Easy to follow, well structured, good references, empathy of presenter. I will recomend this to other friends who made Black Belt certification and still don't have clear what the Pvalue is for.

筛选依据:

176 - Improving your statistical inferences 的 200 个评论(共 263 个)

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 C

Jul 30, 2019

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

创建者 Ioannis M

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 Hinke E D

Jan 23, 2022

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

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 Delamarre L

May 25, 2023

Awesome. Clear, mind-opening and practical. I cannot recommend it more!

创建者 Brent R

Dec 28, 2020

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

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

Dec 31, 2021

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 EW

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

Jan 3, 2017

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

创建者 Marco Z

Jul 21, 2021

I would recommend this course to everyone starting a PhD.

创建者 Tiago L

Aug 24, 2020

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

创建者 Fernando B

Sep 3, 2021

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

创建者 Kıvanç K

Aug 20, 2020

Excellent lecture, every social scientist should take!

创建者 Shringi

Apr 24, 2020

A must take course for any advance statistics student.