Improving your statistical inferences
Master statistical analysis fundamentals: Learn p-values, effect sizes, Bayes Factors, and power analysis for better research.
Master statistical analysis fundamentals: Learn p-values, effect sizes, Bayes Factors, and power analysis for better research.
This comprehensive course enhances your ability to draw accurate statistical inferences from empirical research. You'll learn proper interpretation of key statistical concepts including p-values, effect sizes, confidence intervals, and Bayes Factors. The curriculum covers experiment design, sample size determination, and publication bias analysis. Special emphasis is placed on practical applications, Open Science principles, and replication studies. Through hands-on assignments, you'll master simulation techniques, power analyses, and pre-registration procedures.
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English
বাংলা, اردو, Tiếng Việt, 2 more
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What you'll learn
Master proper interpretation of p-values and statistical significance
Understand effect sizes and confidence intervals
Learn Bayesian statistics and likelihood ratios
Develop skills in experimental design and power analysis
Master pre-registration and replication study techniques
Apply Open Science principles in research
Skills you'll gain
This course includes:
290 Minutes PreRecorded video
23 quizzes, 1 assignment
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate
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There are 8 modules in this course
This course provides a comprehensive exploration of statistical inference methods and their practical applications in research. Through eight detailed modules, students learn to interpret and apply various statistical concepts including p-values, effect sizes, confidence intervals, and Bayesian statistics. The curriculum emphasizes practical skills in experiment design, sample size determination, and understanding publication bias. Students gain hands-on experience with simulation techniques, power analyses, and modern research practices including pre-registration and Open Science principles.
Introduction + Frequentist Statistics
Module 1 · 4 Hours to complete
Likelihoods & Bayesian Statistics
Module 2 · 4 Hours to complete
Multiple Comparisons, Statistical Power, Pre-Registration
Module 3 · 4 Hours to complete
Effect Sizes
Module 4 · 3 Hours to complete
Philosophy of Science & Theory
Module 6 · 2 Hours to complete
Open Science
Module 7 · 3 Hours to complete
Final Exam
Module 8 · 1 Hours to complete
Fee Structure
Payment options
Financial Aid
Instructor
Innovator in Meta-Science and Research Methods
Dr. Daniel Lakens is an Associate Professor in the Human-Technology Interaction group at Eindhoven University of Technology (TU/e), where he specializes in meta-science, research methods, and applied statistics. His empirical research primarily explores conceptual thought, similarity, and meaning, while also focusing on the design and interpretation of studies, as well as the development of reward structures within scientific research. Dr. Lakens is committed to enhancing the reliability and efficiency of psychological science, evidenced by his work funded by an NWO VIDI grant aimed at improving research practices. He has been instrumental in advocating for replication research and has co-edited a special issue on pre-registered studies with Brian Nosek. A passionate educator, he teaches an online MOOC titled "Improving Your Statistical Inferences," which has attracted thousands of learners. Recognized for his contributions to open science, Dr. Lakens has conducted over 40 workshops on improving research methodologies and was awarded the TU/e Teacher of the Year in 2014. Through his innovative approaches to research and education, Dr. Lakens continues to influence the landscape of scientific inquiry, promoting transparency and rigor in the field of psychology.
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Frequently asked questions
Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.