Activity: Talk or presentation › Oral presentation
Description
Meta-analysis is a quantitative approach for synthesizing findings from independent studies to estimate pooled effects and describe between-study variation. It improves precision by correcting sampling error and weighting study-level effect sizes by the inverse of their sampling variance. This talk provides a practical walk-through of conducting a meta-analysis in business and management. We begin with search strategy and data extraction from Web of Science and Scopus, followed by coding study characteristics and calculating effect sizes. I will demonstrate a lightweight web tool (metaHUN) that supports effect-size calculation, forest and funnel plots, and cumulative meta-analysis, and show how to implement random-effects models in R (metafor). We will address heterogeneity using Q, I², and τ², and assess publication bias using Egger’s regression, Kendall’s rank correlation (Begg–Mazumdar), and Rosenthal’s fail-safe N.
Period
24 Apr 2026
Event title
CPCECPR Facility Development Sub-Committee Workshop