Principal speaker
Associate Professor Sama Low-Choy
Meta-analysis takes research to the next level, by considering the weight of evidence provided by a group of studies replicating a similar research method. Often a group of studies will all fit a similar model such as regression (or SEM) to estimate the effect of some intervention on an outcome. The aim is to obtain an overall picture of the consensus view of this effect size, across studies. This is a pair of seminars introducing the concepts of meta-analysis to a broad audience of researchers. We illustrate ideas using an example on how big data analytics impacts business performance.
These seminars refer to recently published research (with innovations in methodology) on topics in Computer Science and Health.
Although many researchers are familiar with systematic literature review, they may not be aware that there are many other approaches. All of these can be useful in supporting meta-analysis, in different ways. This seminar identifies and illustrates the benefits and limitations of various kinds of literature review for meta-analysis, referring to a recent book chapter (Low-Choy, Almeida & Rose, 2021). A key message is how different choices during literature review (approach and choices) have statistical implications for the subsequent meta-analysis.
Format: 1.5 hour seminar
Related RED workshops: This is one of a series of sessions on meta-analysis, from literature review through to statistical analysis
Reference: Low-Choy, S, F Almeida, and J Rose. "Combining study findings by using multiple literature review techniques and meta-analysis." Chapter 15 in eds (E Manu & J Akotia) Secondary Research Methods in the Built Environment (2021), p207.
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RSVP on or before Tuesday 24 May 2022 14.57 pm, by email RED@griffith.edu.au , or via https://events.griffith.edu.au/Y7OlBD