Meta-analysis 2 - Reviewing with a view to meta-analysis - the statistical implications

Meta-analysis 2 - Reviewing with a view to meta-analysis - the statistical implications
Meta-analysis 2 - Reviewing with a view to meta-analysis - the statistical implications

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.

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RSVP on or before Tuesday 19 September 2023 14.45 pm, by email RED@griffith.edu.au , or via https://events.griffith.edu.au/8bqgnV

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