Meta-Analysis
In this module students will be introduced to meta-analysis, a powerful statistical technique allowing researchers to synthesize the available evidence for a given research question using standardized (comparable) effect sizes across studies. The sessions teach students how to compute treatment effects, how to compute effect sizes based on correlational studies, how to address questions such as what is the association of bullying victimization with depression? The module will be useful for students who seek to draw statistical conclusions in a standardized manner from literature reviews they are conducting.
- University Students from Tier 1 Departments
- Further details regarding eligibility criteria are available here
- Students need a clear understanding of fundamental statistical concepts, bivariate association and linear regression
Number of sessions: 2
# | Date | Time | Venue | Trainer |
---|---|---|---|---|
1 | Thu 10 Mar 2022 09:00 - 13:00 | 09:00 - 13:00 | SSRMP Zoom | Sara Valdebenito |
2 | Fri 11 Mar 2022 09:00 - 13:00 | 09:00 - 13:00 | SSRMP Zoom | Sara Valdebenito |
- Session 1: Introductory session (systematic reviews and meta-analysis) and Using Comprehensive Meta-analysis to calculate effect sizes, run meta-analysis (under fixed/random models) and produce forest plots
- Session 2: Heterogeneity in effect sizes: Tau-squared, Tau and I-squared and Sub-group analysis and meta-regression
- 1. To understand and judge the results produced by a meta-analysis
- 2. To learn how to compute effects sizes based on dichotomous and continuous data
- 3. To become familiar with heterogeneity tests
- 4. To learn how to calculate and report subgroup analysis and meta-regression
Excel, and CMA
NB. Software provision for this module is currently under review. Student licences can be purchased, here: https://www.meta-analysis.com/pages/student_rates.php?cart=BQE56515300
- Borenstein, M. Hedges, L.V. Higins, J.P.T. & Rothstein, H.R. (2009) Introduction to Meta-Analysis. Chichester: Wiley
- Lipsey,M.W.& Wilson,D.B. (2001). Practical Meta-Analysis. London:Sage
Click the "Booking" panel on the left-hand sidebar (on a phone, this will be via a link called Booking/Availability near the top of the page).
There may be an online open-book test at the end of the module; for most students, the test is not compulsory.
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For this reason, it is vital that all SSRMP students enrol onto and explore their course Moodle pages once booking their SSRMP modules via the UTBS, and that they do so before their module begins. Moodle pages for modules should go live around a week before the module commences, but some may be made visible to students, earlier.
For more information, and links to specific Moodle module pages, please visit our website
Booking / availability