Об этом курсе
4.9
Оценки: 344
Рецензии: 117
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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Intermediate Level

Промежуточный уровень

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Approx. 20 hours to complete

Предполагаемая нагрузка: 7 weeks of study, 3 hours a week...
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English

Субтитры: English, Chinese (Simplified)...

Приобретаемые навыки

Likelihood FunctionBayesian StatisticsP-ValueStatistical Inference
Globe

Только онлайн-курсы

Начните сейчас и учитесь по собственному графику.
Calendar

Гибкие сроки

Назначьте сроки сдачи в соответствии со своим графиком.
Intermediate Level

Промежуточный уровень

Clock

Approx. 20 hours to complete

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

English

Субтитры: English, Chinese (Simplified)...

Программа курса: что вы изучите

Week
1
Clock
3 ч. на завершение

Introduction + Frequentist Statistics

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Reading
4 видео (всего 56 мин.), 5 материалов для самостоятельного изучения, 5 тестов
Video4 видео
Frequentism, Likelihoods, Bayesian statistics9мин
What is a p-value20мин
Type 1 and Type 2 errors18мин
Reading5 материала для самостоятельного изучения
Structure of the Course1мин
Passing the Course1мин
Research on Quizzes10мин
Week 1: Overview2мин
Assignment 1: Which p-values can you expect?30мин
Quiz5 практического упражнения
Consent Form for Use of Data2мин
Pop Quiz!30мин
Answer Form Assignment 1 : Which p-values can you expect?30мин
Pop Quiz 2!12мин
Exam Week 130мин
Week
2
Clock
4 ч. на завершение

Likelihoods & Bayesian Statistics

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Reading
4 видео (всего 50 мин.), 4 материалов для самостоятельного изучения, 4 тестов
Video4 видео
Likelihoods16мин
Binomial Bayesian Inference14мин
Bayesian Thinking11мин
Reading4 материала для самостоятельного изучения
Week 2: Overview2мин
Interview with Professor Zoltan Dienes10мин
Assignment 2.1: Likelihoods30мин
Assignment 2.2: Bayesian Statistics30мин
Quiz4 практического упражнения
Answer Form Assignment 2.130мин
Answer Form Assignment 2.2: Bayesian Statistics30мин
Pop Quiz 3!8мин
Exam Week 230мин
Week
3
Clock
4 ч. на завершение

Multiple Comparisons, Statistical Power, Pre-Registration

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Reading
4 видео (всего 48 мин.), 4 материалов для самостоятельного изучения, 3 тестов
Video4 видео
Type 2 error control10мин
Interview Professor Dan Simons6мин
Pre-registration14мин
Reading4 материала для самостоятельного изучения
Week 3: Overview2мин
Assignment 3.1: Positive Predictive Value45мин
Assignment 3.2: Optional Stopping45мин
Interview Professor Dan Simons10мин
Quiz3 практического упражнения
Answer Form Assignment 3.1: Positive Predictive Value30мин
Answer Form Assignment 3.2: Optional Stopping30мин
Exam Week 330мин
Week
4
Clock
3 ч. на завершение

Effect Sizes

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Reading
3 видео (всего 29 мин.), 2 материалов для самостоятельного изучения, 3 тестов
Video3 видео
Effect Sizes10мин
Cohen's d9мин
Correlations9мин
Reading2 материала для самостоятельного изучения
Week 4: Overview1мин
Assignment 4: Calculating Effect Sizesмин
Quiz3 практического упражнения
Answer Form Assignment 4: Effect Sizes30мин
Pop Quiz 4!8мин
Exam Week 430мин
4.9

Лучшие рецензии

автор: 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.

автор: 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

Преподаватель

Daniel Lakens

Associate Professor
Department of Human-Technology Interaction

О 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....

Часто задаваемые вопросы

  • 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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