Meta-Analysis: Know-How and Beyond VU Graduate Winter School

Meta-Analysis: Know-How and Beyond

Applications closed

Learn how to formulate a problem and analyze it conducting a meta-analysis in JASP.

The course is taught in the form of interactive seminars in which students will complete four individual assignments, one each day. After the submission of each assignment, students will receive feedback.

Go to 'Additional Course Information' at the bottom of the page for Course Readings and highly recommended Additional Sources.

Topics that will be discussed:

The two types of systematic reviews.
Open science and meta-analysis: multisite replications.
The pros and cons of meta-analysis.
Publication bias and the quality of publications.
Effect size and how to calculate it.
Literature search, exclusion, inclusion, and coding.
Heterogeneity and its consequences.
Available software, including JASP.
The fixed- and random-effects model.
Estimating overall effect size.
Analysis of moderators.

Additionally, students will become familiar with examples of published research to learn more about how to analyse them.

Keep reading below for more information and the syllabus

Courses

View all winter courses

Winter School home

Return to homepage

Stay up to date

Subscribe to our newsletter

Dr. Jacek Buczny is an associate editor of Personality and Individual Differences, section Psychometrics and Methods and an assistant professor in the Department of Experimental and Applied Psychology, VU Amsterdam. He has extensive expertise in teaching and applying in his research many paradigms and designs. He conducts research in order to understand the relationships between self-regulatory processes and behaviour in healthy and psychopathological samples. He has published in Social Psychology and Personality Science, Personality and Individual Differences, Motivation and Emotion, Frontiers in Psychology, and Oxford University Press. Read his recent meta-analysis here https://www.tandfonline.com/doi/full/10.1080/17524032.2023.2280749.

Find out more!

Course readings
Course readings
Borenstein, M., Hedges, L. V., Higgins, J. P. T., & Rothstein, H. R. (2009). Introduction to meta-analysis. New York: Wiley.
Page, M. J., McKenzie, J. E., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C. D., et al. (2021). The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. BMJ, 372. http://doi.org/10.1136/bmj.n71
Moreau, D., & Gamble, B. (2022). Conducting a meta-analysis in the age of open science: Tools, tips, and practical recommendations. Psychological Methods, 27(3), 426–432. https://doi.org/10.1037/met0000351
Additional sources
We strongly recommend that you take a look at the following additional sources:
- Meta-Analysis in JASP
- Meta-Research
Learning objectives
By the end of this course, students will be able to:
- Formulate a research question to conduct a meta-analysis.
- Carry out an extensive literature search.
- Systematically review relevant literature.
- Code studies fitting inclusion criteria.
- Meta-analyze the coded effects using JASP software.
- Interpret and report the meta-analytic results.
- Apply PRISMA standards in a report.
Forms of tuition and assessment

The form of tuition will be through pre-recorded lecturers and interactive online seminars/Q&A (on Zoom). There will be an additional 54 hours of self-study. (8 hours prior to the start of the course)
The hour division will consist of 30 hours for online seminars, 34 hours for readings and 20 hours for assignments.
Assessment will be done through four written assignments that will be consulted with the teacher.
Syllabus

Here you can download the course syllabus where you will find detailed course information.
^{*Minor changes may still apply before the start of the course.}