The virtual course "Improving your statistical inferences - Virtual Course - Coursera", is a course with different contents and that offers video classes of Approx. 28 hours to complete. Explore its essential features, and click the orange button to get detailed information on the Coursera e-Learning platform
This course aims to help you make better statistical inferences from empirical research.
First, we'll look at how to correctly interpret p-values, effect sizes, confidence intervals, Bayes factors, and odds ratios, and how these statistics answer different questions that might interest you.
Then you will learn how to design experiments in which the false positive rate is controlled and how to decide the sample size for your study, for example, to achieve high statistical power.
Later, you will learn how to interpret the evidence in the scientific literature given the widespread publication bias, for example, by learning about p-curve analysis.
Finally, we'll talk about how to do philosophy of science, theory building, and cumulative science, including how to conduct replication studies, why and how to pre-register your experiment, and how to share your results following Open Science principles.
In hands-on tasks, you'll learn how to simulate t-tests to find out what p-values to expect, calculate odds ratios and get an introduction to binomial Bayesian statistics, and learn about the positive predictive value expressed by the published probability.
the research results are true.
We will experience the problems with optional stopping and learn how to prevent these problems by using sequential analysis.
You'll calculate effect sizes, see how confidence intervals work through simulations, and practice doing a priori power analysis.
Finally, you will learn how to test whether the null hypothesis is true using equivalence tests and Bayesian statistics, and how to pre-register a study.
and share your data on the Open Science Framework.
All videos now have Chinese subtitles.
More than 30.
000 students have signed up so far! If you enjoyed this course, I can recommend you follow it with me in the new course "Improving your statistical questions"
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Eindhoven Technical University
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