Principal speaker
Associate Professor Sama Low-Choy
Meta-analysis considers the weight of evidence provided by a group of studies that replicate a similar quantitative method. For instance, we conducted a meta-analysis of structural equation models (similar to regressions) to compile a consensus view of an effect across multiple studies. Our interest was on the effect of big data analytics on firm performance. Meta-analysis may also provide a pooled estimate of a mean or a proportion, across studies.
This series of seven sessions starts with (1) a visual tour of inputs and outputs. Then we walk you through important steps to compile estimates from the literature: (2) statistical implications of what and how you review; (3) qual review techniques to consider and compare studies; (4) quant review techniques to extract quantities; and (5) standards for meta-data across studies. This culminates with (6) basic statistical models, and (7) challenges.
This session provides a visual tour of meta-analysis, as an introduction to the core ideas of meta-analysis. These diagrams make the structure, intent and outputs of the meta-analysis more accessible. We illustrate ideas using examples from business, health and science.
Level. Suitable for any level.
Related RED workshops. It is related to MM3 - Visualising your conceptual model to support quant or qual research.
Event categories
RSVP
RSVP on or before Monday 14 August 2023 14.41 pm, by email RED@griffith.edu.au , or via https://events.griffith.edu.au/8bqgnV