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學生對 埃因霍温科技大学 提供的 Improving your statistical inferences 的評價和反饋

4.9
678 個評分
219 條評論

課程概述

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"...

熱門審閱

MS
2021年5月13日

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.

YK
2017年3月1日

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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76 - Improving your statistical inferences 的 100 個評論(共 217 個)

創建者 Alvaro M B

2020年2月23日

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.

創建者 Yaron K

2017年3月2日

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.

創建者 Georgia P

2021年6月18日

Really enjoyed this course! The content was perfect to get my stats brain raring to go for my PhD, and now I can go in with a much better insight on interpreting my findings from the get go.

創建者 Andrés C M

2019年3月25日

Excellent course. I improved my statistical knowledge and learned more about bayesian inference. Also, I learned something about how to pre-register a research and its benefits of doing so.

創建者 Miroslav R

2018年2月22日

Excellent course with a lot to learn. After 10 years in data analysis it provided me with great new insights and material to further improve my skills and understanding of data analysis

創建者 Bob H

2017年10月6日

This is a top-notch course. The ground (especially pitfalls) is very well covered, and useful free tools are engaged (R, G*Power, prof's own spreadsheets for calculating effect size).

創建者 Turgon R

2020年11月27日

This course is great! I learned a lot about statistics and how to have a critical thinking about tests and results in the literature. I also gain in confidence for doing statistics.

創建者 Tiago Z

2018年6月19日

This course changed my concepts not only about statistics but about research and science. Daniel Lakens is a fantastic lecturer and scientist. I can't recommend this course enough.

創建者 Rizqy A Z

2018年7月10日

This course is immensely helpful to improve my area of expertise. This course also fills the gap of my previous formal training with current challenges in my career as a scientist

創建者 Yashar Z

2016年10月16日

Really nice course! begins from basics but gives you a deeper understanding of concepts. Plus the quizzes are open for auditing (as one expects from an open science advocate)!

創建者 Marcin K

2016年12月22日

Great course. Daniel explains everything clearly and with examples in R code which makes all of the concepts easier to understand. A must-take for experimental psychologists.

創建者 Kevin H

2019年5月13日

Very good introduction course. An improvement could be to include more high level summaries of each sections. I think it could help students better organize their thoughts.

創建者 Jakob W

2018年1月5日

Hi! Thanks a ton for a spectacular course. I pick up new understanding every week here, and I actually look forward to going through the material each week. So great job!

創建者 Hendrik B

2017年11月18日

One of the best courses I have done so far on Coursera. Fairly advanced and very helpful for (under-) grad students running experiments or working with data in general.

創建者 Shunan H

2019年10月14日

I like this course so much, Prof. Jeff makes all lectures clearly, but some answers and details in quizs are not mentioned in video and I have some problems with them.

創建者 Gregory D

2018年3月26日

Excellent course. Must take for any students interested in doing scientific research, especially in the domain of the social sciences. Very interesting and informative.

創建者 Glenn

2017年6月21日

Excellent course. The materials were well laid out and explained in an accessible but thorough manner. I've already begun using what I've learned in my current work.

創建者 Jayadev H

2018年5月11日

Sooo good! Cant even begin to explain how essential and wonderful this understanding is!

Great thanks to Dr Daniel! Such an expert in the field!

Thank you Dr!

創建者 Oleksandr H

2016年11月25日

Some courses are useful in the short run while others can challenge your way of thinking for the rest of your professional life. This course is the latter!

創建者 Wilte Z

2016年10月23日

Clear explanations of the concepts of statistics, without too much emphasis on the formulas. With handy references to online tools, like power calculators.

創建者 Iván Z A

2017年2月15日

Wonderful course: very interesting, and very well explained. Also, the teacher is a very kind and helpful person (at least in Twitter ;-P). Thanks Daniël.

創建者 Ernesto M

2018年7月30日

Excellent course that changed my views on interpreting p-values, confidence intervals, etc. and will surely make my statistical inferences much better.

創建者 Muhammad T S

2017年11月8日

This is a very powerful course. Simple content but with lots of depth and newer perspective on statistical testing. Learned a lot. Highly recommended.

創建者 Moos L

2016年11月6日

Excellent, may I say indispensable course for every social scientist out there to improve their statistical skills. Very coherent and comprehensive!

創建者 Eloy A O

2020年6月23日

Very complete course, I learned a lot with the videos and assignments. Professor Daniel explains very well too . I recommend it completely.

Thanks!