14 January 2022
Meta-analysis: Know-how and Beyondonline course
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.
Students will learn how to formulate a problem and analyse it during this course 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.
The course will provide you with the basics of preparing and describing a meta-analytical study in a separate article. You’ll see how to apply this technique to summarise studies found in a manuscript in order to improve cohesion and suitability for publication.
The course is taught in the form of an interactive seminar, in which students will complete four individual assignments, one each day. After the submission of each assignment, students will receive feedback.
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.
Dr. Jacek Buczny
Open to Master’s students, PhD candidates, and professionals interested in applying quantitative data analysis.
We welcome Master’s students, PhD candidates, and professionals interested in applying quantitative data analysis. This course takes inspiration from the disciplines of economics and business studies, as well as social and behavioural sciences.
It is expected that students have already successfully completed a standard course in statistics. The coursework requires that students understand the concepts of effect size, statistical power, and generalizability. It is also beneficial if applicants are interested in reproducibility and replicability in scientific research (open science). A Laptop with JASP installed is a must.
If you have any doubts about your eligibility for the course, please contact us: email@example.com.
By the end of this course, students will be able to:
• Formulate a research question to conduct a meta-analysis
• Carry out an expansive 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 into a report
Contact hours: 30
EUR 800: Fees:
- Students and PhD Students: €600
- Professionals: €800
- Students, PhD students and employees at Vrije Universiteit Amsterdam and Amsterdam UMC: €500
Applications received before the 1st of October (Early Bird Discount) receive €50 discount!
The tuition fee includes:
- Application and registration
- Exclusive course content for a limited number of students
- Individual/group guidance from course organiser
- Access to all online VU facilities such as the library and online learning environments
- A certificate of attendance after completing the course
- A transcript of records mentioning the grade and the obtained ECTS
- Full support of the winter school team
- Optional online social activity
VU Graduate Winter School offers several scholarships. More information can be found on the website.