There are many issues that researchers need to address in computing treatment effects, many of which have not been tackled thus far in the literature. This book comprehensively addresses all the relevant issues in computing treatment effects, including many not previously detailed in the literature. It examines the relations between the different kinds of treatment effects, and how to convert amongst them, detailing both correlational and continuous data. Introductions and worked examples are provided for all the formulas used and an accompanying website with an instructional version of a computer program that computes treatment effects, allows the reader to perform all the exercises in the book, and check the accuracy of any spreadsheets they constructed.

Computing Effect Sizes for Meta-analysis (Statistics in Practice)

Science & Math

Hedges, Larry V.

Higgins, Julian P. T.

Rothstein, Hannah R.

Borenstein, Michael

Biological Sciences

wiley

This book provides a clear and thorough introduction to meta-analysis, the process of synthesizing data from a series of separate studies. The first edition of this text was widely acclaimed for the clarity of the presentation, and quickly established itself as the definitive text in this field. The fully updated second edition includes new and expanded content on avoiding common mistakes in meta-analysis, understanding heterogeneity in effects, publication bias, and more. Several brand-new chapters provide a systematic "how to" approach to performing and reporting a meta-analysis from start to finish. Written by four of the world's foremost authorities on all aspects of meta-analysis, the new edition: <ul> <li>Outlines the role of meta-analysis in the research process</li> <li>Shows how to compute effects sizes and treatment effects</li> <li>Explains the fixed-effect and random-effects models for synthesizing data</li> <li>Demonstrates how to assess and interpret variation in effect size across studies</li> <li>Explains how to avoid common mistakes in meta-analysis</li> <li>Discusses controversies in meta-analysis</li> <li>Includes access to a companion website containing videos, spreadsheets, data files, free software for prediction intervals, and step-by-step instructions for performing analyses using Comprehensive Meta-Analysis (CMA)(tm)</li> </ul> Download videos, class materials, and worked examples at www.Introduction-to-Meta-Analysis.com &nbsp; &nbsp;

Introduction to Meta-Analysis

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