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Meta-Analysis: Know-How and Beyond

Meta-Analysis: Know-How and Beyond

Meta-analysis is essential for developing theories. This course helps students get to grips with the basic and advanced skills required for analysing data in open-science software.

During the course students will learn how to formulate a problem and analyse it by conducting a meta-analysis in JASP, an open-science software package. We will cover the literature extensively, and students will learn how to report their findings following the PRISMA standards. 

This online course will provide you with the basics of preparing and describing a meta-analytical study in a separate article. You will learn how to apply this technique to summarise studies found in a manuscript in order to improve cohesion and suitability for publication.

Course Format

  • Dates: Six sessions across two weeks (12, 13, 15, 20, 21, 23 January 2026)
  • Attendance: Online only
  • Form of tuition: Interactive online seminars (live tutorials, pre-recorded lecturers and Q&A sessions) 
  • Form of assessment: Written assignments 
  • Language of instruction: English 
  • See the course curriculum

Course Level

  • Level: Master’s students and PhD candidates
  • English language requirement: B2 level or higher (equivalent to IELTS 6.5) 
  • See the entry requirements 

Workload

  • Equivalent to 3 ECTS
  • Contact hours: 30
  • Self-study hours: approximately 54 (including +/- 26 hours of preparation)

Lecturers

What students say about this course 

“The teacher explains the lessons with exceptional clarity and depth. Every detail is carefully covered, ensuring that students grasp the material thoroughly. I genuinely love this class!” – 2025 WS Student 

“The teaching of Jacek was just brilliant. Many, many thanks to him for all his patient work and the huge amount of very useful information and tools he provided.” – 2023 WS Student 

“The course is well-structured and clear. I am new to the topic, but this course helped me understand meta-analysis in general and helped me to conduct a meta-analysis in the future.” – 2023 WS Student

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Deadline extended to: 15 December 2025 (23:59 CET)

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  • Maya Allister
  • Programme Manager

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