skip to navigation skip to content
- Select training provider - (Social Sciences Research Methods Programme)
Instructor-led course

Provided by: Social Sciences Research Methods Programme


This course has 1 scheduled run. To book a place, please choose your preferred date:


Thu 9 Mar 2023


[ Show past events ]

Events available

Meta-Analysis


Description

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.

Target audience
  • University Students from Tier 1 Departments
  • Further details regarding eligibility criteria are available here
Prerequisites
  • Students need a clear understanding of fundamental statistical concepts, bivariate association and linear regression
  • Students will also need to be familiar with using the statistical software R. If you are not familiar with using R, then we strongly recommend that you take the SSRMP module Introduction to R.
Topics covered
  • 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
Aims
  • 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
System requirements

Excel, and R

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

Textbook(s)
  • 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
How to Book

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).

Assessment

There may be an online open-book test at the end of the module; for most students, the test is not compulsory.

Moodle

Moodle is the 'Virtual Learning Environment' (VLE) that the SSRMP uses to deliver online courses.

SSRMP lecturers use Moodle to make teaching resources available before, during, and/or after classes, and to make announcements and answer questions.

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

Theme
Statistics

Events available