Computing Effect Sizes for Meta-analysis

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 ...

Download link for Introduction to Meta-Analysis

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 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.

Confidence Intervals for Proportions and Related Measures of Effect Size

Author: Robert G. Newcombe
Edition:
Publisher: CRC Press
Binding: Hardcover
ISBN: 1439812780

Confidence Intervals for Proportions and Related Measures of Effect Size (Chapman & Hall/CRC Biostatistics Series)

Confidence Intervals for Proportions and Related Measures of Effect Size illustrates the use of effect size measures and corresponding confidence intervals as more informative alternatives to the most basic and widely used significance tests. Medical books Confidence Intervals for Proportions and Related Measures of Effect Size . The book provides you with a deep understanding of what happens when these statistical methods are applied in situations far removed from the familiar Gaussian case.

Drawing on his extensive work as a statistician and professor at Cardiff University School of Medicine, the author brings together methods for calculating confidence intervals for proportions and several other important measures, including differences, ratios, and nonparametric effect size measures generalizing Mann-Whitney and Wilcoxon tests. He also explains three important approaches to obtaining intervals for related measures. Many examples illustrate the application of the methods in the health and social sciences Medical books Confidence Intervals for Proportions and Related Measures of Effect Size (Hardcover). Confidence Intervals for Proportions and Related Measures of Effect Size illustrates the use of effect size measures and corresponding confidence intervals as more informative alternatives to the most basic and widely used significance tests. The book provides you with a deep understanding of what happens when these statistical methods are applied in situations far removed from the familiar Gaussian case. Drawing on his extensive work as a statistician and professor at Cardiff University School of Medicine, the author brings together methods for calculating confidence intervals for proportions and several other important measures, including differences, ratios, and nonparametric effect size measures generalizing Mann-Whitney and Wilcoxon tests. He also explains three important approaches to obtaining intervals for related measures. Many examples illustrate the application of the methods in the health and social sciences. Requiring little computational skills, the book offers user-friendly Excel spreadsheets for download at www.crcpress.com, enabling you to easily apply the methods to your own empirical data.

Download link for Confidence Intervals For Proportions And Related Measures Of Effect Size By

Confidence Intervals for Proportions and Related Measures of Effect Size illustrates the use of effect size measures and corresponding confidence intervals as more informative alternatives to the most basic and widely used significance tests. The book provides you with a deep understanding of what happens when these statistical methods are applied in situations far removed from the familiar Gaussian case. Drawing on his extensive work as a statistician and professor at Cardiff University School of Medicine, the author brings together methods for calculating confidence intervals for proportions

Taylor Francis 9781439812785 Confidence Intervals for Proportions and Related Measures of Effect Size By Newcombe, Robert G. Description Addressed primarily at researchers who have not been trained as statisticians, this book describes how to use appropriate methods to calculate confidence intervals to present research findings. It covers background issues, such as the link between hypothesis tests and confidence intervals and why it is usually preferable to report the latter. Chapters begin wi

"Addressed primarily at researchers who have not been trained as statisticians, this book describes how to use appropriate methods to calculate confidence intervals to present research findings. It covers background issues, such as the link between hypothesis tests and confidence intervals and why it is usually preferable to report the latter. Chapters begin with the simplest cases of a mean or a proportion based on a single sample and then move on to more complex applications. Although the books illustrative examples are mainly health-related, the methods described can also be applied to rese

Addressed primarily at researchers who have not been trained as statisticians, this book describes how to use appropriate methods to calculate confidence intervals to present research findings. It covers background issues, such as the link between hypothesis tests and confidence intervals and why it is usually preferable to report the latter. Chapters begin with the simplest cases of a mean or a proportion based on a single sample and then move on to more complex applications. Although the books illustrative examples are mainly health-related, the methods described can also be applied to resea

Medical Book Confidence Intervals for Proportions and Related Measures of Effect Size

The book provides you with a deep understanding of what happens when these statistical methods are applied in situations far removed from the familiar Gaussian case.

Drawing on his extensive work as a statistician and professor at Cardiff University School of Medicine, the author brings together methods for calculating confidence intervals for proportions and several other important measures, including differences, ratios, and nonparametric effect size measures generalizing Mann-Whitney and Wilcoxon tests. He also explains three important approaches to obtaining intervals for related measures. Many examples illustrate the application of the methods in the health and social sciences. Requiring little computational skills, the book offers user-friendly Excel spreadsheets for download at www.crcpress.com, enabling you to easily apply the methods to your own empirical data.