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.
Improving your statistical inferences
提供方
Improving your statistical inferences
課程信息
學生職業成果
10%
17%
10%
您將獲得的技能
學生職業成果
10%
17%
10%
100% 在線
可靈活調整截止日期
中級
完成時間大約為22 小時
英語（English）
教學大綱 - 您將從這門課程中學到什麼
Introduction + Frequentist Statistics
Likelihoods & Bayesian Statistics
Multiple Comparisons, Statistical Power, Pre-Registration
Effect Sizes
審閱
4.9
來自IMPROVING YOUR STATISTICAL INFERENCES的熱門評論
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
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).
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.
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)!
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.
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!
Excellent course. Must take for any students interested in doing scientific research, especially in the domain of the social sciences. Very interesting and informative.
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.
Sooo good! Cant even begin to explain how essential and wonderful this understanding is!\n\nGreat thanks to Dr Daniel! Such an expert in the field!\n\nThank you Dr!
Great course! Highly recommended.\n\nOne thing to improve - I would like to see more theory behind the different effect sizes (eta-squared/omega squared/etc)
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!
This is a very powerful course. Simple content but with lots of depth and newer perspective on statistical testing. Learned a lot. Highly recommended.
關於 埃因霍温科技大学
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In which languages is this course available?
All videos have English and Chinese subtitles. the assignments are only available in English.
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