Chevron Left
Voltar para Improving your statistical inferences

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

4.9
estrelas
618 classificações
199 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

PP

Jun 29, 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 02, 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.

Filtrar por:

126 — 150 de 197 Avaliações para o Improving your statistical inferences

por Carlo D V

Aug 21, 2020

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

por Sergey L

Jan 01, 2020

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

por Gerald R

Sep 02, 2017

a very thoughtful introduction to the different approaches of statistical reasoning

por Aviv E

Jul 17, 2017

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

por Linda

Sep 16, 2020

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

por Richard M

Jan 22, 2019

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

por Bertin

Nov 17, 2018

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

por Robert H

Oct 01, 2019

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

por Shambhavi

Jul 30, 2019

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

por Mesionis I

Jun 06, 2017

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

por Syarif M

Dec 03, 2016

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

por LIU Y

Mar 22, 2017

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

por Danielle L

Aug 29, 2018

An excellent, informative, organized course. Highly recommended!

por Mario R

Apr 10, 2017

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

por Rikki L

Apr 30, 2018

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

por Rodney K

May 10, 2019

Very comprehensive and enjoyable course, highly recommended.

por Xiwen O

Dec 26, 2017

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

por sad d

Jan 18, 2017

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

por Lim K Y

Aug 23, 2020

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

por Florian W

Mar 14, 2020

Excellent course to get an overview of pratical statistics.

por Md. M I C

Jan 03, 2017

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

por Tiago L

Aug 24, 2020

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

por Kıvanç K

Aug 20, 2020

Excellent lecture, every social scientist should take!

por Shringi

Apr 24, 2020

A must take course for any advance statistics student.

por Tomás d l R M

Nov 08, 2019

Amazing course! Very useful to researchers in any area