Principal speaker
Dr Judy Rose
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.
To conduct meta-analysis (MA) it is important to implement literature review strategies, which first identify research studies, then synthesize and integrate qualitative as well as quantitative information from those studies. A systematic quantitative literature review (SQLR) can summarise information by counting, but can only be used when the topic is searchable. In any case, SQLR on its own is not sufficient to prepare for MA. We describe a qualitative approach, involving both a within-study and between-study literature analysis, which examines conceptual and theoretical frameworks, methods and results. We examine how qualitative reviews help researchers to appraise the quality of studies in terms of robustness and relevance to local context. This information can inform inclusion and/or weighting of studies for MA.
.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 Monday 28 August 2023 14.42 pm, by email RED@griffith.edu.au , or via https://events.griffith.edu.au/8bqgnV