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
Eindhoven University of Technology (TU/e) is a research-driven, design-oriented university of technology with a strong international focus. The university was founded in 1956, and has around 8,500 students and 3,000 staff. TU/e has defined strategic areas focusing on the societal challenges in Energy, Health and Smart Mobility. The Brainport Eindhoven region is one of world’s smartest; it won the title Intelligent Community of the Year 2011.
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来自IMPROVING YOUR STATISTICAL INFERENCES的热门评论
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.
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!
Clear explanations of the concepts of statistics, without too much emphasis on the formulas. With handy references to online tools, like power calculators.
This is a very powerful course. Simple content but with lots of depth and newer perspective on statistical testing. Learned a lot. Highly recommended.
Excellent, may I say indispensable course for every social scientist out there to improve their statistical skills. Very coherent and comprehensive!
I recovered my faith in statistics with this course.\n\nMakes me alert not to believe every effect I see in the data.\n\nTeaches to do good science.
Fantastic, enjoyable, entertaining with a dash of humor. Highly recommended for non-statisticians interested in improving their grasp of the field.
Fantastic course on inference, difference between frequentist and Bayesian concepts like p-values, confidence and credible intervals, and validity.
Thank you. This course represents a great deal of important work for me to continue to revisit and incorporate in my efforts moving forward.
Top quality course. Learnt a lot thanks to the very helpful and clear teaching. Put the equivalent course at my actual university to shame.
In which languages is this course available?
All videos have English and Chinese subtitles. the assignments are only available in English.