Principal speaker
Associate Professor Sama Low-Choy
This session builds on the first 4 episodes, which talk about how to pull together the inputs for meta-analysis (MA), and gets to the heart of the matter: How do we pull together these inputs in the statistical analysis? For that reason, this session focusses on the meaning of the statistical models underlying MA and their outputs from MA, so is relevant regardless of the statistical package used. We talk through two statistical models, most commonly used for MA: the one-way fixed effects model and one-way random effects. We also discuss how the statistical models used for meta-analysis differ from those used to support analysis of experimental data (via one-way ANOVA). We illustrate the process of compiling the final visualisations shown in Episode 1, and provide more in-depth comment regarding their interpretation, using examples from a publication. We also cross-reference the statistical implications of choices regarding inputs (Episodes 2, 3 and 4).
Software: We illustrate the methodology using outputs from a freely available software package, RevMan. We encourage you to install RevMan and refer to online resources for a HowTo on using software such as RevMan. Since we focus on interpretation (rather than software use), the information is relevant to use of these statistical models for meta-analysis using any package.
Pre-requisites and relationship to other RED workshops: For those already involved in a meta-analysis, this session will revisit underlying assumptions. For newcomers to meta-analysis, this seminar will be more easily understood if you have attended or reviewed the text on the first five episodes, which cover: (1) a visual intro to MA: inputs & outputs; (2) reviewing literature for MA inputs, with stats implications; (3) qual lit review techniques for MA; (4) extracting quantities for MA; and (5) how meta-data underpins MA (stats ideas).
Level: This workshop will be suitable for advanced beginners, who have background (workshops / practice) in any of: preparing inputs for meta-analysis; similar statistical analyses; or have read the text.
Recommended Reading: This workshop refers to a book chapter, available through the Griffith library as an e-book. Low-Choy, S., Almeida, F., & Rose, J. (2021). "Combining study findings by using multiple literature review techniques and meta-analysis",Chapter 15 in E. Manu and J. Akotia (eds) Secondary Research Methods in the Built Environment, pp207-220
Event categories
RSVP
RSVP on or before Monday 20 June 2022 09.00 am, by email RED@griffith.edu.au , or via https://events.griffith.edu.au/08qN11