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Improving Your Statistical Questions(으)로 돌아가기

아이트호벤 공과 대학의 Improving Your Statistical Questions 학습자 리뷰 및 피드백

94개의 평가

강좌 소개

This course aims to help you to ask better statistical questions when performing empirical research. We will discuss how to design informative studies, both when your predictions are correct, as when your predictions are wrong. We will question norms, and reflect on how we can improve research practices to ask more interesting questions. In practical hands on assignments you will learn techniques and tools that can be immediately implemented in your own research, such as thinking about the smallest effect size you are interested in, justifying your sample size, evaluate findings in the literature while keeping publication bias into account, performing a meta-analysis, and making your analyses computationally reproducible. If you have the time, it is recommended that you complete my course 'Improving Your Statistical Inferences' before enrolling in this course, although this course is completely self-contained....

최상위 리뷰


2020년 1월 2일

Excellent! Would like only one addition, and that's a more extensive exercise on simulating data with general linear models


2019년 12월 31일

Cracking - very informative, nice mixture of modes of learning, and engaging

필터링 기준:

Improving Your Statistical Questions의 21개 리뷰 중 1~21

교육 기관: Nora P H L

2020년 2월 5일

Very relevant course, specially if you currently work, or you are interested in working, as a researcher. One of the most important abilities for the scientific work is to be able to produce relevant, or at least informative studies; that's the whole point of science, and it's very sad that most of us (researchers) don't fully understand how to correctly assess/conduct research, and the importance of it. This course will definitely help you realize and construct the statistical thinking necessary to improve scientific practices.

교육 기관: Enis -

2020년 6월 27일

One of the best online courses I have ever seen.

교육 기관: Stephen S

2020년 7월 11일

I believe that this second course from Daniel Lakens is one of the "must take" classes offered via Coursera. The structure and coursework are some of the best that I've seen yet. The quality of the course was truly worth a five-star rating.

교육 기관: Luca F

2019년 11월 21일

Splendid as everything that is produced (either recorded or written) by Daniel Lakens!

The course forces you to stop and think, instead of simply doing things.

And this stop-and-think part, often overlooked, is exactly what distinguish someone who gives real value to his team and projects from one who just produces statistical outputs.

Brilliant, simply brilliant and enlightening.

교육 기관: Ryan F

2019년 11월 1일

Absolutely phenomenal course. Dr. Lakens does an excellent job of making complex topics more approachable, and of explaining concepts using alternative approaches. I've now taken both of his MOOCs and have thoroughly enjoyed each one. As a side bonus, the r-based assignments are excellent for novice r users looking to build their skill-set.

교육 기관: Carlos G S

2020년 3월 16일

I liked this course as much as the previous MOOC from Lakens. The introduction to metanalisis and SESOI are my preferred modules. The only problem is some modules are similar to previous MOOC but slightly different, and sometimes it is confussing. Daniel Lakens is the best teacher of statistics I have ever met. Thank you!

교육 기관: András H

2020년 5월 12일

Fantastic state-of-the-art and practical knowledge. It is very useful for researchers at any stage of the scientific career. Thank you, Daniel.

교육 기관: Sam W

2020년 1월 1일

Cracking - very informative, nice mixture of modes of learning, and engaging

교육 기관: Larry P

2019년 10월 30일

Daniel's second course as good as the first. He does a nice job!!

교육 기관: Alex R

2019년 11월 24일

Lots of really interesting material presented in a great way. The reading and lectures inspired me to read more and clarified questions that have long been on the edges of my understanding of science.

The home works were a little rote but I think that helps make the calculations clearly within our grasps. The only frustrating thing was the course depends on a handful of libraries which were tough for me to install. I eye-balled some graphs that were included with the home works and had a to think a bit more about some questions that were generally "change x to y and rerun, what is the value of z?"

교육 기관: Lee V

2022년 1월 17일

A very good course that's probably best taken after Daniel Lakens' other Coursera MOOC on statistics - this one's tougher. As well as talking through the important issues in experimental design that provide the potential for valid statistical solutions, the course provides links to a range of on-line tools to help. The sections on philosophy of science also help in this respect as they shed a light on the kinds of questions experimenters ask.

교육 기관: Juli T

2019년 11월 8일

This course teaches you the things about statistics that no one tells you about at uni - even though they are extremely important. The MOOC has a nice pace for people with a basic foundation in statistics and provides enough time and exercises to allow for the concepts to sink in. The R scripts are a huge bonus.

교육 기관: Jana H

2019년 11월 29일

Absolutely great. I immensely enjoyed the previous MOOC by Dr. Lakens and this one offered the option to recapitulate and enhance my understanding of more complex concepts. I am recommending all my fellow researchers to take his coursers, they changed the way I do my research and view science itself.

교육 기관: Hande S

2019년 12월 4일

I recommend this course to everyone who wants to improve their grasp of statistics. The course involves content that is timely and relevant within an easy-to-digest form and amount.

교육 기관: MilFi

2020년 2월 18일

Dr. Lakens passes ET test with very tiny SESOI. As usual. I was suitable only for two tailed NHST without any direction of effect. Put another way: "anything goes" :o)

교육 기관: Shambhavi C

2020년 1월 3일

Excellent! Would like only one addition, and that's a more extensive exercise on simulating data with general linear models

교육 기관: Marcin M

2021년 3월 17일

Well connected and inspired course. Thank you very much for shared information and knowledge.

교육 기관: Arnaud s

2019년 11월 24일

Great course that will definitely be useful in my academic career (and more than that!)

교육 기관: Tiago B L

2022년 3월 7일

G​reat course! Was a pleasure to take it. Thanks, Professor Lakens!

교육 기관: Aditya A

2021년 7월 26일

Exceptionally important course

교육 기관: Stephen A

2020년 8월 17일

Really enjoyed