À propos de ce cours
4.9
344 notes
117 avis
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 10.000 learners have enrolled so far!...
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Cours en ligne à 100 %

Commencez dès maintenant et apprenez aux horaires qui vous conviennent.
Calendar

Dates limites flexibles

Réinitialisez les dates limites selon votre disponibilité.
Intermediate Level

Niveau intermédiaire

Clock

Approx. 20 hours to complete

Recommandé : 7 weeks of study, 3 hours a week...
Comment Dots

English

Sous-titres : English, Chinese (Simplified)...

Compétences que vous acquerrez

Likelihood FunctionBayesian StatisticsP-ValueStatistical Inference
Globe

Cours en ligne à 100 %

Commencez dès maintenant et apprenez aux horaires qui vous conviennent.
Calendar

Dates limites flexibles

Réinitialisez les dates limites selon votre disponibilité.
Intermediate Level

Niveau intermédiaire

Clock

Approx. 20 hours to complete

Recommandé : 7 weeks of study, 3 hours a week...
Comment Dots

English

Sous-titres : English, Chinese (Simplified)...

Programme du cours : ce que vous apprendrez dans ce cours

Week
1
Clock
3 heures pour terminer

Introduction + Frequentist Statistics

...
Reading
4 vidéos (Total 56 min), 5 lectures, 5 quiz
Video4 vidéos
Frequentism, Likelihoods, Bayesian statistics9 min
What is a p-value20 min
Type 1 and Type 2 errors18 min
Reading5 lectures
Structure of the Course1 min
Passing the Course1 min
Research on Quizzes10 min
Week 1: Overview2 min
Assignment 1: Which p-values can you expect?30 min
Quiz5 exercices pour s'entraîner
Consent Form for Use of Data2 min
Pop Quiz!30 min
Answer Form Assignment 1 : Which p-values can you expect?30 min
Pop Quiz 2!12 min
Exam Week 130 min
Week
2
Clock
4 heures pour terminer

Likelihoods & Bayesian Statistics

...
Reading
4 vidéos (Total 50 min), 4 lectures, 4 quiz
Video4 vidéos
Likelihoods16 min
Binomial Bayesian Inference14 min
Bayesian Thinking11 min
Reading4 lectures
Week 2: Overview2 min
Interview with Professor Zoltan Dienes10 min
Assignment 2.1: Likelihoods30 min
Assignment 2.2: Bayesian Statistics30 min
Quiz4 exercices pour s'entraîner
Answer Form Assignment 2.130 min
Answer Form Assignment 2.2: Bayesian Statistics30 min
Pop Quiz 3!8 min
Exam Week 230 min
Week
3
Clock
4 heures pour terminer

Multiple Comparisons, Statistical Power, Pre-Registration

...
Reading
4 vidéos (Total 48 min), 4 lectures, 3 quiz
Video4 vidéos
Type 2 error control10 min
Interview Professor Dan Simons6 min
Pre-registration14 min
Reading4 lectures
Week 3: Overview2 min
Assignment 3.1: Positive Predictive Value45 min
Assignment 3.2: Optional Stopping45 min
Interview Professor Dan Simons10 min
Quiz3 exercices pour s'entraîner
Answer Form Assignment 3.1: Positive Predictive Value30 min
Answer Form Assignment 3.2: Optional Stopping30 min
Exam Week 330 min
Week
4
Clock
3 heures pour terminer

Effect Sizes

...
Reading
3 vidéos (Total 29 min), 2 lectures, 3 quiz
Video3 vidéos
Cohen's d9 min
Correlations9 min
Reading2 lectures
Week 4: Overview1 min
Assignment 4: Calculating Effect Sizes min
Quiz3 exercices pour s'entraîner
Answer Form Assignment 4: Effect Sizes30 min
Pop Quiz 4!8 min
Exam Week 430 min
4.9

Meilleurs avis

par YKMar 2nd 2017

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.

par MRFeb 22nd 2018

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

Enseignant

Daniel Lakens

Associate Professor
Department of Human-Technology Interaction

À propos de Eindhoven University of Technology

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....

Foire Aux Questions

  • Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.

  • When you purchase a Certificate you get access to all course materials, including graded assignments. Upon completing the course, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.

  • All videos have English and Chinese subtitles. the assignments are only available in English.

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