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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.
Go to 'Additional Course Information' at the bottom of the page for Course Readings and highly recommended Additional Sources.
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.
Key information
Duration
- Part-time
- 5 days
Start dates & application deadlines
- StartingApplication deadline not specified.
Language
English
Credits
3 ECTS
Delivered
Online
Disciplines
Computer Sciences Data Science & Big Data View 11 other Short Courses in Data Science & Big Data in NetherlandsAcademic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
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.
- 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.
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 5 days. -
EU/EEA
630 EUR/fullTuition FeeBased on the tuition of 630 EUR for the full programme during 5 days.
Funding
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