3 edition of Methods of Meta-Analysis found in the catalog.
December 1, 1989
by Sage Publications, Inc
|The Physical Object|
|Number of Pages||592|
Meta-analysis methods Example of psychometric meta-analysis Comparison of artifact correction with meta-regression Sources of information about artifact values How heterogeneity is assessed Reporting in psychometric meta-analysis Concluding remarks Summary points PART 9: META-ANALYSIS IN CONTEXT 39 OVERVIEW Practical Meta-Analysis -- Lipsey & Wilson Overview 1 Practical Meta-Analysis David B. Wilson American Evaluation Association Orlando, Florida, October 3, 2 The Great Debate • Hans J. Eysenck concluded that there were no favorable effects of psychotherapy, starting a raging debate • 20 years of evaluation research and hundreds of.
The main purpose of this book is to address the statistical issues for integrating independent studies. There exist a number of papers and books that discuss the mechanics of collecting, coding, and preparing data for a meta-analysis, and we do not deal with these. Meta-analysis is a quantitative technique that uses specific measures (e.g., an effect size) to indicate the strength of variable relationships for the studies included in the analysis.
Dec 27, · Methods for Meta-Analysis in Medical Research by Alexander J. Sutton, , available at Book Depository with free delivery worldwide/5(2). This book provides a comprehensive introduction to performing meta-analysis using the statistical software R. It is intended for quantitative researchers and students in the medical and social sciences who wish to learn how to perform meta-analysis with R.
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Statistical Methods for Meta-Analysis () Larry V Hedges & Ingram Olkin New York: Academic Press. Like “The Handbook”, Methods of Meta-Analysis book book, published inhelped to open the field of meta-analysis to a generation of researchers, became an instant classic, and remains a valuable resource to this day.
"This text is the primary source text for psychometric meta-analysis methods This is the only comprehensive resource available for researchers interested in conducting psychometric meta-analysis methods. Another strength of the text is the inclusion of substantive examples from the field of IO psychology, which always helps with student comprehension."Cited by: “The key strength of the book is the complete and thorough coverage of psychometric meta-analysis.
This technique is not covered in any other meta-analysis text, and is a major contribution to the literature The meta-analysis field needs to find ways to integrate Hunter and Schmidt’s methods into current meta-analysis practice.”. Meta-analysis is the rubric used to describe quantitative methods for combining evidence across studies.
Because meta-analysis usually relies on data in the form of summary statistics derived from the primary analyses of studies, it is truly an analysis of the results of statistical analyses. Mar 11, · Michael Borenstein, Director of Biostatistical Programming Associates Professor Borenstein is the co-editor of the recently published Wiley book Publication Bias in Meta-Analysis, and has taught dozens of workshops on greggdev.com also helped to develop the best-selling software programs for statistical power analysis.
Apr 15, · With meta-analysis methods playing a crucial role in health research in recent years, this important and clearly-written book provides a much-needed survey of the field. Meta-analysis provides a framework for combining the results of several clinical trials and drawing inferences about the effectiveness of medical greggdev.com by: Dec 01, · Meta-analysis is arguably the most important methodological innovation in the social and behavioral sciences in the last 25 years.
Developed to offer researchers an informative account of which methods are most useful in integrating research findings across studies, this book will enable the reader to apply, as well as understand, meta-analytic methods/5.
Dec 30, · Some of the best books on meta-analysis are listed here: 1. Introduction to Meta-Analysis () Michael Borenstein, Larry V. Hedges, Julian P.T. Higgins, Hannah Rothstein Chichester: Wiley This book provides a very clear overview of meta-analysis.
Meta-analysis is arguably the most important methodological innovation in the social and behavioral sciences in the last 25 years. Developed to offer researc. This Book Is Dedicated to the Memory of John E.
(“Jack”) Hunter – Meta-Analysis Methods for d Values 8. A Look Ahead in the Book 71 Part II: Meta-Analysis of Correlations 73 3: Meta-Analysis of Correlations Corrected Individually for Artifacts Other uses of meta-analytic methods include the development and validation of clinical prediction models, where meta-analysis may be used to combine individual participant data from different research centers and to assess the model's generalisability, or even to aggregate existing prediction models.
This book can be used as an introduction to evidence synthesis and network meta-analysis, its key properties and policy implications. Examples and advanced methods are also presented for the more experienced reader. With meta-analysis methods playing a crucial role in health research in recent years, this important and clearly-written book provides a much-needed survey of the field.
Meta-analysis provides a framework for combining the results of several clinical trials and drawing inferences about the effectiveness of. Meta-Analysis shows concisely, yet comprehensively, how to apply statistical methods to achieve a literature review of a common research domain.
It demonstra. This book, created to be the program’s user manual, has become over time a true text of meta-analysis dedicated to non-experts. Reading it, the clinical researcher learns step by step everything needed to read, interpret and verify a meta-analysis of the literature, but.
Dose–response meta-analysis. The aim of a dose–response meta-analysis is to make inference about the shape of the association from multiple aggregated dose–response data. As compared to the previous strategies, it has the advantages of using all the information available and the potential to be more informative.
Introduction to Meta-Analysis. This book is an introduction to three methods of quantitative synthesis-meta-analysis, decision analysis, and cost-effectiveness analysis. These methods are used. This is a guide on how to conduct Meta-Analyses in R.
What this guide will not cover. Although this guide will provide some information on the statistics behind meta-analysis, it will not give you an in-depth introduction into how meta-analyses are calculated statistically.
It is also beyond the scope of this guide to advise in detail which meta-analytical strategy is suited best in which. The book begins in part A with some basic meta-analysis terminology and biostatistical terms, such as odds, odds ratios, and relative risks.
Part A then continuous with a discussion of heterogeneity, the application of fixed-effects and random-effects methods for combining study estimates, publication bias, sensitivity analysis, and graphical. Meta-Analysis shows concisely, yet comprehensively, how to apply statistical methods to achieve a literature review of a common research greggdev.com demonstrates the use of combined tests and measures of effect size to synthesize quantitatively the results of.
Meta-analysis is arguably the most important methodological innovation in the social and behavioral sciences in the last 25 years.
Developed to offer researchers an informative account of which methods are most useful in integrating research findings across studies, this book will enable the reader to apply, as well as understand, meta-analytic methods.Clearly, he is a good source of information in the field of meta-analysis.
The only problem I had with this book was its publication date (). Some new estimation methods were developed in the last few years, which obviously couldn't be described in this book (bayesian approach, new packages in R etc.).This reader-friendly book is the definitive resource on meta-analysis.
"This text is "the" primary source text for psychometric meta-analysis methods." --Emily E. Tanner-Smith, "Vanderbilt University" "The key strength of the book is the complete and thorough coverage of psychometric meta-analysis.