1. Understand the Concept and Importance of Meta-Analysis: Participants will learn the foundational concepts of meta-analysis, including its significance in synthesizing research findings across multiple studies to draw more generalized conclusions. 2. Identify and Extract Relevant Data: Learn how to systematically search for, select, and critically appraise relevant studies, and extract necessary data for meta-analysis effectively. 3. Perform Statistical Analysis for Meta-Analysis: Gain hands-on experience in applying statistical methods to analyze pooled data, including calculating effect sizes, confidence intervals, and performing heterogeneity assessments. 4. Interpret Meta-Analysis Results: Develop the ability to read and interpret forest plots and other graphical representations of meta-analysis results, understanding the implications of findings in a broader context. 5. Navigate Software for Meta-Analysis: Acquire practical skills in using RevMan Web, Cochrane’s software for conducting meta-analyses, including data entry, analysis, and interpretation within the software environment. 6. Address Heterogeneity and Publication Bias: Learn strategies to explore and address heterogeneity among studies and understand the impact of publication bias on meta-analysis results. 7. Apply Meta-Analysis Findings to Evidence-Based Practice: Understand how to integrate findings from meta-analyses into evidence-based practice, policy-making, or further research, considering the strengths and limitations of synthesized evidence. 8. Engage in Practical Exercises: Through practical exercises using fictional examples, participants will apply learned concepts to conduct meta-analyses, from start to finish, enhancing their learning through real-world application.