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Overview
During the Meta-analysis - Know-how and Beyond course at Vrije Universiteit Amsterdam 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.
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.
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.
Programme Structure
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.
Lecturers
Dr. Jacek Buczny
Key information
Duration
- Part-time
- 10 days
- 30 hrs/week
Start dates & application deadlines
- Starting
- Apply before
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Language
English
IELTS 6.5
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Credits
3 ECTS
Delivered
Online
Disciplines
Statistics Data Science & Big Data View 10 other Short Courses in Data Science & Big Data in NetherlandsWhat students do after studying
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Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
IELTS 6.5
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Other requirements
General requirements
Who can join?
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.
Additional Requirements
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 doubts about your eligibility for the course, please contact us
Tuition Fee
To always see correct tuition fees
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International
630 EUR/fullTuition FeeBased on the tuition of 630 EUR for the full programme during 10 days. -
National
630 EUR/fullTuition FeeBased on the tuition of 630 EUR for the full programme during 10 days.
Tuition ranges between €630 - €930 depending on your status. Check out the universities website for more information. An early bird discount is available.
Funding
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