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 inferencesТехнический университет Эйндховена
Об этом курсе
Технический университет Эйндховена
Eindhoven University of Technology (TU/e) is a young university, founded in 1956 by industry, local government and academia. Today, their spirit of collaboration is still at the heart of the university community. We foster an open culture where everyone feels free to exchange ideas and take initiatives.
- 5 stars88,64 %
- 4 stars9,86 %
- 3 stars0,94 %
- 2 stars0,27 %
- 1 star0,27 %
Лучшие отзывы о курсе IMPROVING YOUR STATISTICAL INFERENCES
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!
Really good course! The course reviews several common statistical methods and tools used in research and strive to help the student on their interpretation.
Great course to dig a bit deeper into some very useful statistical concept. 4 starts as many of the contents are not "open" as the course preaches (see Microsoft Office documents or GPower).
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!
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