13 April 2016
on course website
Introduction to Meta-Analysis in Social Sciences
In this 3-day course we zoom in on the current best methods for carrying out meta-analyses. Meta-analysis is a quantitative approach to reviewing research literature. The primary goal of meta-analysis is to statistically combine study outcomes and analyzing variation in outcomes.
The course covers five steps in the meta-analytic review: (1) problem statement, (2) methods for study retrieval, (3) coding of outcome measures and study characteristics, (4) choosing an appropriate model and carrying out analyses, and (5) interpreting and reporting of results.
During the course days, lectures and lab meetings will be alternated. In the lab meetings, the participants will practice with searching and coding the relevant literature and performing data analyses (e.g. combining effect sizes, homogeneity analyses and meta-regression).
The target group are PhD students or (post-graduate) researchers who already have a good working knowledge of multivariate statistics and who have a basic knowledge of SPSS. All analyses will be carried out in SPSS (using macro?s) or R.
Charlotte Rietbergen, MSc
The target group are PhD students or (post-graduate) researchers who already have a good working knowledge of multivariate statistics and who have a basic knowledge of SPSS.
A max. of 30 number of participant will be allowed in this course.
After this course, the students have a good understanding of the theoretical basics and methodological and statistical complexities in meta-analysis. They should be able to carry out a simple meta-analysis, justify their choice for a specific model, interpret and present the results.
EUR 500: Course + course materialsRegister for this course
on course website