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Improving your statistical inferences(으)로 돌아가기

아이트호벤 공과 대학의 Improving your statistical inferences 학습자 리뷰 및 피드백

700개의 평가
232개의 리뷰

강좌 소개

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"...

최상위 리뷰

2021년 5월 13일

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.

2017년 3월 1일

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.

필터링 기준:

Improving your statistical inferences의 230개 리뷰 중 151~175

교육 기관: abbas s

2021년 3월 21일

This great course changed my knowledge about researching methods significantly.

교육 기관: Linda

2020년 9월 16일

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

교육 기관: Richard M

2019년 1월 22일

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

교육 기관: Bertin

2018년 11월 17일

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

교육 기관: Robert H

2019년 10월 1일

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

교육 기관: Shambhavi C

2019년 7월 30일

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

교육 기관: Mesionis I

2017년 6월 6일

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

교육 기관: Syarif M

2016년 12월 3일

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

교육 기관: Emanuele C

2020년 11월 2일

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

교육 기관: LIU Y

2017년 3월 22일

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

교육 기관: Brent R

2020년 12월 28일

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

교육 기관: Danielle L

2018년 8월 29일

An excellent, informative, organized course. Highly recommended!

교육 기관: Mario R

2017년 4월 10일

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

교육 기관: Rikki L

2018년 4월 30일

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

교육 기관: Rodney K

2021년 12월 31일

Very comprehensive and enjoyable course, highly recommended.

교육 기관: Xiwen O

2017년 12월 26일

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

교육 기관: sad d

2017년 1월 18일

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

교육 기관: Lim K Y

2020년 8월 23일

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

교육 기관: Florian W

2020년 3월 14일

Excellent course to get an overview of pratical statistics.

교육 기관: Md. M I C

2017년 1월 3일

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

교육 기관: Marco Z

2021년 7월 21일

I would recommend this course to everyone starting a PhD.

교육 기관: Tiago L

2020년 8월 24일

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

교육 기관: Fernando B

2021년 9월 3일

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

교육 기관: Kıvanç K

2020년 8월 20일

Excellent lecture, every social scientist should take!

교육 기관: Shringi

2020년 4월 24일

A must take course for any advance statistics student.