Michael Borenstein Books

Michael Borenstein is a renowned statistician and the author of several influential books on meta-analysis. He has made significant contributions to the field through his research and software development. Larry V. Hedges is a leading expert in the field of education and social policy. He has co-authored numerous books and articles on meta-analysis and statistical methods. Together, Borenstein and Hedges have provided invaluable insights and guidance to researchers and students in their book, Introduction to Meta-Analysis.

  1. What's Introduction to Meta-Analysis about?

    Introduction to Meta-Analysis by Michael Borenstein and Larry V. Hedges is a comprehensive guide to the principles and techniques of meta-analysis. This book provides a clear and easy-to-understand introduction to the statistical methods used in combining and analyzing data from multiple studies. It is a valuable resource for researchers and students looking to understand and conduct meta-analyses in various fields of study.

    Who should read Introduction to Meta-Analysis?

    • Researchers and academics looking to understand and apply meta-analysis methodology
    • Graduate students and professionals in fields such as social sciences, medicine, education, and business
    • Individuals interested in synthesizing and interpreting findings from multiple studies
  2. What's Introduction to Meta-Analysis about?

    Introduction to Meta-Analysis provides a comprehensive overview of the principles and methods of meta-analysis in research. Written by Michael Borenstein and his co-authors, this book covers the fundamental concepts, statistical techniques, and practical considerations involved in conducting a meta-analysis. It serves as a valuable resource for researchers, students, and professionals looking to synthesize and interpret findings from multiple studies.

    Who should read Introduction to Meta-Analysis?

    • Researchers and academics looking to understand and conduct meta-analysis

    • Students in social sciences, psychology, medicine, or any field that involves synthesizing research findings

    • Professionals in healthcare, education, or business who want to make evidence-based decisions