UV9222 – Advanced Meta-Analysis
Course description
Course content
Together with the Department for Special Needs Education (ISP), CEMO organizes a two-day workshop on meta-analytic structural equation modeling. Associate Professor Mike W.-L. Cheung (National University of Singapore) will hold the workshop.
This course combines lectures and hands-on exercises, and builds up knowledge and skills in using advanced multilevel modeling techniques.
The two-day workshop provides an introduction to meta-analytic structural equation modeling (MASEM), an approach that unifies meta-analysis and structural equation modeling (SEM). It covers both basic and advanced techniques in conducting MASEM. Besides lectures focusing on the theory of MASEM, participants are given the opportunity to conduct MASEM in practical sessions.
Day 1: Workshop on SEM-based meta-analysis (Oct 6, 2015)
- Introduction of meta-analysis and calculation of effect sizes
- Univariate meta-analysis (fixed, random, and mixed effects)
- Addressing the dependence of effect sizes: multivariate and three-level meta-analysis
- Practical sessions using R and Mplus
Day 2: Workshop on MASEM (Oct 7, 2015)
- Introduction of MASEM
- Fixed-effects model (with categorical moderators as clusters)
- Random-effects model
- Practical sessions using R
There will also be room for individual consultation on Oct 8, 2015. Details will follow. Please contact Ronny Scherer (ronny.scherer@cemo.uio.no).
Teaching
Organizer: CEMO (Centre for Educational Measurement at the University of Oslo) & Department for Special Needs Education (ISP), Faculty of Educational Sciences
Responsible: Ronny Scherer, Monica Melby-Lerv?g, Sigrid Bl?meke
Lecturer: Associate Professor Mike Cheung
Dates: 6-7 Oct 2015
Location: tba
Time: 09.00-16.00 all days
Course credits: 1 SP without documentation (at least 80% participation), 3 SP with documentation
Duration: 12 hours
Registration deadline: 21 Sep 2015
Registration: Studentweb eller Nettskjema
Literature:
Cheung, M. W.-L. (2015). Meta-Analysis: A Structural Equation Modeling Approach. Chichester, UK: John Wiley & Sons Ltd. ISBN 978-1-119-99343-8