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Mon 11 Feb, Mon 18 Feb, ... Mon 4 Mar 2019
16:00 - 18:00

Venue: University Information Services, Titan Teaching Room 1, New Museums Site

Provided by: Social Sciences Research Methods Programme


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Other dates:


Mon 9 Mar 2020



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Meta Analysis

Mon 11 Feb, Mon 18 Feb, ... Mon 4 Mar 2019

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.

Prerequisites
  • Students need a clear understanding of fundamental statistical concepts, bivariate association and linear regression
Sessions

Number of sessions: 4

# Date Time Venue Trainer
1 Mon 11 Feb   16:00 - 18:00 16:00 - 18:00 University Information Services, Titan Teaching Room 1, New Museums Site map Sara Valdebenito
2 Mon 18 Feb   16:00 - 18:00 16:00 - 18:00 University Information Services, Titan Teaching Room 1, New Museums Site map Sara Valdebenito
3 Mon 25 Feb   16:00 - 18:00 16:00 - 18:00 University Information Services, Titan Teaching Room 1, New Museums Site map Sara Valdebenito
4 Mon 4 Mar   16:00 - 18:00 16:00 - 18:00 University Information Services, Titan Teaching Room 1, New Museums Site map Sara Valdebenito
Topics covered

Session 1: Introductory session (systematic reviews and meta-analysis)
Session 2: Using Comprehensive Meta-analysis to calculate effect sizes, run meta-analysis (under fixed/random models) and produce forest plots
Session 3: Heterogeneity in effect sizes: Tau-squared, Tau, and I-squared
Session 4: 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

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.

Theme
Specialist Statistics

Booking / availability