[Udemy Course] How to Conduct a Meta-analysis: A Practical Guide by Muhammad Shakil Ahmad

What you’ll learn

Introduction to Meta-Analysis

Data Extraction and Effect Size Calculation

Fixed-Effect and Random-Effects Models

Heterogeneity Assessment and Moderator Analysis

Reporting and Interpretation of Results

Open Science Practices and Data Sharing

Choosing appropriate effect sizes and measures for meta-analysis

Understanding the concept of publication bias and how to assess it

Using software tools for conducting and visualizing meta-analyses, such as SPSS, SAS, R and Comprehensive Meta-Analysis

Meta-analysis is a powerful statistical technique that allows researchers to synthesize and integrate findings from multiple studies on a particular topic, providing a more comprehensive and accurate understanding of the research area. Whether you’re a graduate student, academic researcher, or industry professional, this course will provide you with a thorough understanding of the principles and practical skills needed to conduct and interpret meta-analyses.

This course, “How to Conduct a Meta-analysis: A Practical Guide,” is designed to provide a thorough understanding of the principles and practical skills necessary for conducting and interpreting meta-analyses.

Through a combination of video lectures, practical exercises, and real-world examples, this course will cover everything you need to know about meta-analysis, including:

Understanding the fundamentals of meta-analysis, including its purpose, benefits, and limitations

Conducting a systematic literature review and identifying relevant studies for inclusion

Extracting data from primary studies and calculating effect sizes

Performing meta-analyses using both fixed-effect and random-effects models

Assessing heterogeneity and conducting moderator analyses to explore sources of variation

Reporting meta-analytic results and interpreting their practical and theoretical implications

Incorporating open science practices and utilizing online resources for data sharing and collaboration

Whether you’re looking to conduct your own meta-analysis or interpret and evaluate existing ones, this course will equip you with the knowledge and skills needed to confidently navigate the world of meta-analysis and contribute to advancing your field of study. Upon completion of the course, students will be equipped with the knowledge and skills needed to confidently navigate the world of meta-analysis, contribute to advancing their field of study, and make informed decisions based on the results of meta-analyses.

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