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Improving Your Statistical Questions(으)로 돌아가기

아이트호벤 공과 대학의 Improving Your Statistical Questions 학습자 리뷰 및 피드백

4.9
18개의 평가
3개의 리뷰

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....

최상위 리뷰

필터링 기준:

Improving Your Statistical Questions의 4개 리뷰 중 1~4

교육 기관: Ryan F

Nov 01, 2019

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: Larry P

Oct 31, 2019

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

교육 기관: Juli T

Nov 08, 2019

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: Luca F

Nov 21, 2019

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.