Author: Michael Borenstein
Edition: 1
Publisher: Wiley
Binding: Hardcover
ISBN: 0470058471
Computing Effect Sizes for Meta-analysis (Statistics in Practice)
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. Medical books Computing Effect Sizes for Meta-analysis . Medical books Introduction to Meta-Analysis (Hardcover) (null). This book provides a clear and thorough introduction to meta-analysis, the process of synthesizing data from a series of separate studies. Meta-analysis has become a critically important tool in fields as diverse as medicine, pharmacology, epidemiology, education, psychology, business, and ecology. Introduction to Meta-Analysis : Outlines the role of meta-analysis in the research process Shows how to compute effects sizes and treatment effects Explains the fixed-effect and random-effects models for synthesizing data Demonstrates how to assess and interpret variation in effect size across studies Clarifies concepts using text and figures, followed by formulas and examples Explains how to avoid common mistakes in meta-analysis Discusses controversies in meta-analysis Features a web site with additional material and exercises A superb combination of lucid prose and informative graphics, written by four of the worlds leading experts on all aspects of meta-analysis. Borenstein, Hedges, Higgins, and Rothstein provide a refreshing departure from cookbook approaches with their clear explanations of the what and why of meta-analysis. The book is ideal as a course textbook or for self-study. My students, who used pre-publication versions of some of the chapters, raved about the clarity of the explanations and examples. David Rindskopf, Distinguished Professor of Educational Psychology, City University of New York, Graduate School and University Center, & Editor of the Journal of Educational and Behavioral Statistics . The approach taken by Introduction to Meta-analysis is intended to be primarily conceptual, and it is amazingly successful at achieving that goal. The reader can comfortably skip the formulas and still understand their application and underlying motivation. For the more statistically sophisticated reader, the relevant formulas and worked ...
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This book provides a clear and thorough introduction to meta-analysis, the process of synthesizing data from a series of separate studies. Meta-analysis has become a critically important tool in fields as diverse as medicine, pharmacology, epidemiology, education, psychology, business, and ecology. Introduction to Meta-Analysis : Outlines the role of meta-analysis in the research process Shows how to compute effects sizes and treatment effects Explains the fixed-effect and random-effects models for synthesizing data Demonstrates how to assess and interpret variation in effect size across studi
This book provides a clear and thorough introduction to meta-analysis, the process of synthesizing data from a series of separate studies. Meta-analysis has become a critically important tool in fields as diverse as medicine, pharmacology, epidemiology, education, psychology, business, and ecology. Introduction to Meta-Analysis: Outlines the role of meta-analysis in the research process Shows how to compute effects sizes and treatment effects Explains the fixed-effect and random-effects models for synthesizing data Demonstrates how to assess and interpret variation in effect size across studie
Meta-Analysis for Public Management and Policy is a groundbreaking book that includes a proven set of tools for making sense of mountains of sometimes inconsistent conclusions from original research. The tools of meta-analysis can help to improve scholarship, ensure more accurate tests of theories, provide clearer and more authoritative advice for policy and management, and ultimately contribute to the wider knowledge base of public management and policy and the social sciences more broadly.
This important resource contains an in-depth explanation of the six-stage process for conducting a meta
This important resource contains an in-depth explanation of the six-stage process for conducting a meta
This is the first book to provide readers with an introductory yet deep understanding of the new statistics in behavioral sciences-- effect sizes (ESs), confidence intervals (CIs), and meta-analysis (MA). Practical in nature, the book provides examples and tips on how to use the new statistics to analyse and report research results and/or to understand journal articles that reference the new statistics.The author employs statistical cognition techniques to help demonstrate how researchers think about, summarize, present, and interpret data. Accompanied by a website with corresponding ESCI soft
Medical Book Computing Effect Sizes for Meta-analysis
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.
