May 1, 2024
Updated May 11, 2025
21 minute read
Meta-analysis is a powerful statistical method used to synthesize quantitative data from multiple independent studies that address a common research question. Think of it as a "study of studies." Instead of relying on the findings of a single study, which might have its own limitations or biases, meta-analysis combines the results from various sources to arrive at a more robust and precise overall conclusion. This approach increases statistical power, helping to identify patterns, discrepancies, or relationships that might not be apparent in individual studies alone. It is a key component in evidence-based practice across many disciplines.
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Find a path to becoming a Meta-Analysis. Learn more at:
OpenCourser.com/topic/b0ml4s/meta
Reading list
We've selected five books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Meta-Analysis.
This handbook provides a comprehensive overview of the field of meta-analysis, covering the history, theory, and methods of the technique. Especially useful for both new researchers and experienced meta-analysts looking to stay up-to-date on the techniques.
Provides a comprehensive guide to meta-analysis, covering the fundamentals of the technique as well as more advanced topics such as moderator analysis and publication bias. Especially useful for researchers looking to understand how to measure and quantify statistical evidence.
Provides a comprehensive overview of meta-analysis in economics. The authors cover the history, theory, and methods of meta-analysis, as well as provide guidance on how to conduct a meta-analysis in this field.
Provides a comprehensive overview of meta-analysis in political science. The authors cover the history, theory, and methods of meta-analysis, as well as provide guidance on how to conduct a meta-analysis in this field.
Provides a comprehensive overview of meta-analysis in sociology. The authors cover the history, theory, and methods of meta-analysis, as well as provide guidance on how to conduct a meta-analysis in this field.
For more information about how these books relate to this course, visit:
OpenCourser.com/topic/b0ml4s/meta