About this Course

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Intermediate Level

A basic knowledge of statistics and research methods is necessary. My previous MOOC 'Improving Your Statistical Inferences' is recommended.

Approx. 18 hours to complete
English

What you will learn

  • Ask better questions in empirical research

  • Design more informative studies

  • Evaluate the scientific literature taking bias into account

  • Reflect on current norms, and how you can improve your research practices

Skills you will gain

Computational ReproducibilityMeta-AnalysisExperimental DesignStatistical InferencesPhilosophy of Science
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Flexible deadlines
Reset deadlines in accordance to your schedule.
Intermediate Level

A basic knowledge of statistics and research methods is necessary. My previous MOOC 'Improving Your Statistical Inferences' is recommended.

Approx. 18 hours to complete
English

Offered by

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Eindhoven University of Technology

Syllabus - What you will learn from this course

Week
1

Week 1

2 hours to complete

Module 1: Improving Your Statistical Questions

2 hours to complete
3 videos (Total 40 min), 2 readings, 3 quizzes
3 videos
Lecture 1.2: Do You Really Want to Test a Hypothesis?15m
Lecture 1.3: Risky Predictions12m
2 readings
Download Course Materials and Course Structure (Must Read)10m
Assignment 1.1: Testing Range Predictions30m
3 practice exercises
Consent Form for Use of Data10m
Welcome: Short Survey5m
Answer Form Assignment 1.1: Testing Range Predictions2m
Week
2

Week 2

4 hours to complete

Module 2: Falsifying Predictions

4 hours to complete
3 videos (Total 46 min), 3 readings, 3 quizzes
3 videos
Lecture 2.2: Setting the Smallest Effect Size Of Interest14m
Lecture 2.3: Falsifying Predictions in Practice15m
3 readings
Assignment 2.1: The Small Telescopes Approach to Setting a SESOI30m
Assignment 2.2: Setting the SESOI Based on Resources30m
Assignment 2.3: Equivalence Testing30m
3 practice exercises
Answer Form Assignment 2.1: The Small Telescopes Approach to Setting a SESOI30m
Answer Form Assignment 2.2: Setting the SESOI Based on Resources30m
Answer Form Assignment 2.3: Equivalence Testing30m
Week
3

Week 3

3 hours to complete

Module 3: Designing Informative Studies

3 hours to complete
3 videos (Total 48 min), 2 readings, 2 quizzes
3 videos
Lecture 3.2: Power Analysis12m
Lecture 3.3: Simulation15m
2 readings
Assignment 3.1: Confidence Intervals for Standard Deviations30m
Assignment 3.2: Power Analysis for ANOVA Designs1h
2 practice exercises
Answer Form Assignment 3.1: Confidence Intervals for Standard Deviations30m
Answer Form Assignment 3.2: Power Analysis for ANOVA Designs30m
Week
4

Week 4

4 hours to complete

Module 4: Meta-Analysis and Bias Detection

4 hours to complete
3 videos (Total 48 min), 4 readings, 3 quizzes
3 videos
Lecture 4.2: Intro to Meta-Analysis17m
Lecture 4.3: Bias Detection15m
4 readings
Assignment 4.1: Likelihood of Significant Findings30m
Assignment 4.2: Introduction to Meta-Analysis30m
Assignment 4.3: Detecting Publication Bias45m
Assignment 4.4: Checking Your Stats10m
3 practice exercises
Answer Form Assignment 4.1: Likelihood of Significant Findings30m
Answer Form Assignment 4.2: Introduction to Meta-Analysis30m
Answer Form Assignment 4.3: Detecting Publication Bias30m

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