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Improving your statistical inferences

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. In practical, hands on assignments, you will learn how to simulate t-tests to learn which p-values you can expect, calculate likelihood ratio's and get an introduction the binomial Bayesian statistics, and learn about the positive predictive value which expresses the probability published research findings are true. We will experience the problems with optional stopping and learn how to prevent these problems by using sequential analyses. You will calculate effect sizes, see how confidence intervals work through simulations, and practice doing a-priori power analyses. Finally, you will learn how to examine whether the null hypothesis is true using equivalence testing 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 learners have enrolled so far! If you enjoyed this course, I can recommend following it up with me new course "Improving Your Statistical Questions"

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Rating 4.8★ based on 158 ratings
Length 9 weeks
Effort 7 weeks of study, 3 hours a week
Starts Jul 17 (41 weeks ago)
Cost $49
From Eindhoven University of Technology via Coursera
Instructor Daniel Lakens
Download Videos On all desktop and mobile devices
Language English
Subjects Social Sciences Science Data Science Mathematics
Tags Social Sciences Life Sciences Data Science Psychology Probability And Statistics

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What people are saying

statistical inferences

The course has definitely increased my understanding of making statistical inferences and has also provided me with hand tools and exercise.

A really important course for anyone who wishes to make statistical inferences as part of their research.

This course will actually improve your statistical inferences.

As an early career scientist, this course helped me get a solid foundation on statistical inferences.

Many thanks The course was great for refreshing my understanding of statistical inferences.

and will surely make my statistical inferences much better.

But the course gave a great overview of the fundamentals of statistical inferences and made me really think twice about how to conduct science properly.

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highly recommended

Highly recommended!

Highly recommended.

Highly recommended for non-statisticians interested in improving their grasp of the field.

Very comprehensive and enjoyable course, highly recommended.

highly recommended.

Highly recommended.One thing to improve - I would like to see more theory behind the different effect sizes (eta-squared/omega squared/etc) A great course to learn or refresh theoretical concepts behind statistical inferences.

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daniel lakens

Thanks to Daniel Lakens and everyone else who was involved into making this course possible.

Daniel Lakens for the win!

Daniel Lakens is brilliant.

Thank you Daniel Lakens for creating and sharing this course in the way you have done.

Daniel Lakens is a fantastic lecturer and scientist.

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inferential statistics

It provides a clear understanding of inferential statistics while discussing common pitfalls and myths surrounding p-values and confidence intervals.

very, very great course about inferential statistics Excellent course!!!!!

I was able to close many gaps in my inferential statistics knowledge and now feel much more confident in my interpretations.

Bottom line - in my opinion it's a must do course to anyone who is interested in inferential statistics.

The content is very appropriate for any one anyone who is looking to work with Inferential Statistics.

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ever taken

Probably the most useful course I have ever taken.

Probably the best stats course I've ever taken (and also the most fun and enlightening)!

The best statistics course I have ever taken Excellent course.

One of the best online courses I've ever taken!

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recommend it

Chances are, like me, you are making some very common mistakes in using and interpreting statistics which is why this course is a MUST for anyone in a discipline that uses statistics and i wholeheartedly recommend it to anyone who has taken a few introductory courses on the subject, regardless of their level of expertise.

Would definitely recommend it to everyone interested in statistics!

I can definitely recommend it!

Would recommend it to everyone interested in statistics.

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for anyone

I think this is essential for anyone who does science.

The hands-on assignments are challenging for the right reason: they test your knowledge and comprehension of the material at hand (some on-line courses did a number on me, and required extracurricular knowledge in order to succeed with completing the assignments).I think that even stats newbies might be able to take the course and learn a lot, as most of the material pretty much addresses the basic, core philosophy of statistics, and you don't need to know how to conduct specific tests in order to understand what Daniel is trying to share with you.This course is *the* course for anyone eager to understand what their stats 101 classes failed to even address.

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very helpful

I've taught undergraduate statistics in psychology and consider myself reasonably well-versed in statistics and this was a very helpful expansion.

Fairly advanced and very helpful for (under-) grad students running experiments or working with data in general.

The material is very helpful, both for learners and for those teaching statistics to students.

The teaching style is good and the assignment in R is very helpful for me to understand the main ideas of this course.

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so much

I learned so much (and refreshed myself on things I should already know!).

Thank you so much Dr Lakens for putting together this course.

I like this course so much, Prof. Jeff makes all lectures clearly, but some answers and details in quizs are not mentioned in video and I have some problems with them.

Brilliant and engaing lecturer who provides the information with so much passion and interest that it "catches on" to you.

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Rating 4.8★ based on 158 ratings
Length 9 weeks
Effort 7 weeks of study, 3 hours a week
Starts Jul 17 (41 weeks ago)
Cost $49
From Eindhoven University of Technology via Coursera
Instructor Daniel Lakens
Download Videos On all desktop and mobile devices
Language English
Subjects Social Sciences Science Data Science Mathematics
Tags Social Sciences Life Sciences Data Science Psychology Probability And Statistics

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