Meta Analysis Made Easy How To Draw Definitive Conclusions From Inconclusive Studies And Find Untapped Opportunities For Further Research
DOWNLOAD
Download Meta Analysis Made Easy How To Draw Definitive Conclusions From Inconclusive Studies And Find Untapped Opportunities For Further Research PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Meta Analysis Made Easy How To Draw Definitive Conclusions From Inconclusive Studies And Find Untapped Opportunities For Further Research book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page
Meta Analysis Made Easy How To Draw Definitive Conclusions From Inconclusive Studies And Find Untapped Opportunities For Further Research
DOWNLOAD
Author : Paul D. Ellis
language : en
Publisher: Madmethods
Release Date : 2020-09
Meta Analysis Made Easy How To Draw Definitive Conclusions From Inconclusive Studies And Find Untapped Opportunities For Further Research written by Paul D. Ellis and has been published by Madmethods this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-09 with Social Science categories.
Will your research make a unique contribution? Or are you reinventing the wheel? This jargon-free guide to meta-analysis will show you how to draw conclusions even from inconclusive studies and discover untapped gold mines for further research. Learn how to pool effect sizes from past research Discover patterns of meaning in disparate results Harvest effect sizes that are essential for power analyses Establish nonzero benchmarks more meaningful than the null Uncover the influence of meta-moderators that no one else has seen Find remedies for overcoming the availability bias And much more! Using a class-tested approach, Meta-Analysis Made Easy will give you the tools to make sense of past research and identify the most fruitful avenues for future inquiry! Book 3 in the MadMethods series. (Get all three books for less than the price of two with MadMethods 1-3!) Get your copy now!
The Handbook Of Research Synthesis And Meta Analysis
DOWNLOAD
Author : Harris Cooper
language : en
Publisher: Russell Sage Foundation
Release Date : 2019-06-14
The Handbook Of Research Synthesis And Meta Analysis written by Harris Cooper and has been published by Russell Sage Foundation this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-06-14 with Social Science categories.
Research synthesis is the practice of systematically distilling and integrating data from many studies in order to draw more reliable conclusions about a given research issue. When the first edition of The Handbook of Research Synthesis and Meta-Analysis was published in 1994, it quickly became the definitive reference for conducting meta-analyses in both the social and behavioral sciences. In the third edition, editors Harris Cooper, Larry Hedges, and Jeff Valentine present updated versions of classic chapters and add new sections that evaluate cutting-edge developments in the field. The Handbook of Research Synthesis and Meta-Analysis draws upon groundbreaking advances that have transformed research synthesis from a narrative craft into an important scientific process in its own right. The editors and leading scholars guide the reader through every stage of the research synthesis process—problem formulation, literature search and evaluation, statistical integration, and report preparation. The Handbook incorporates state-of-the-art techniques from all quantitative synthesis traditions and distills a vast literature to explain the most effective solutions to the problems of quantitative data integration. Among the statistical issues addressed are the synthesis of non-independent data sets, fixed and random effects methods, the performance of sensitivity analyses and model assessments, the development of machine-based abstract screening, the increased use of meta-regression and the problems of missing data. The Handbook also addresses the non-statistical aspects of research synthesis, including searching the literature and developing schemes for gathering information from study reports. Those engaged in research synthesis will find useful advice on how tables, graphs, and narration can foster communication of the results of research syntheses. The third edition of the Handbook provides comprehensive instruction in the skills necessary to conduct research syntheses and represents the premier text on research synthesis. Praise for the first edition: "The Handbook is a comprehensive treatment of literature synthesis and provides practical advice for anyone deep in the throes of, just teetering on the brink of, or attempting to decipher a meta-analysis. Given the expanding application and importance of literature synthesis, understanding both its strengths and weaknesses is essential for its practitioners and consumers. This volume is a good beginning for those who wish to gain that understanding." —Chance "Meta-analysis, as the statistical analysis of a large collection of results from individual studies is called, has now achieved a status of respectability in medicine. This respectability, when combined with the slight hint of mystique that sometimes surrounds meta-analysis, ensures that results of studies that use it are treated with the respect they deserve....The Handbook of Research Synthesis is one of the most important publications in this subject both as a definitive reference book and a practical manual."—British Medical Journal When the first edition of The Handbook of Research Synthesis was published in 1994, it quickly became the definitive reference for researchers conducting meta-analyses of existing research in both the social and biological sciences. In this fully revised second edition, editors Harris Cooper, Larry Hedges, and Jeff Valentine present updated versions of the Handbook's classic chapters, as well as entirely new sections reporting on the most recent, cutting-edge developments in the field. Research synthesis is the practice of systematically distilling and integrating data from a variety of sources in order to draw more reliable conclusions about a given question or topic. The Handbook of Research Synthesis and Meta-Analysis draws upon years of groundbreaking advances that have transformed research synthesis from a narrative craft into an important scientific process in its own right. Cooper, Hedges, and Valentine have assembled leading authorities in the field to guide the reader through every stage of the research synthesis process—problem formulation, literature search and evaluation, statistical integration, and report preparation. The Handbook of Research Synthesis and Meta-Analysis incorporates state-of-the-art techniques from all quantitative synthesis traditions. Distilling a vast technical literature and many informal sources, the Handbook provides a portfolio of the most effective solutions to the problems of quantitative data integration. Among the statistical issues addressed by the authors are the synthesis of non-independent data sets, fixed and random effects methods, the performance of sensitivity analyses and model assessments, and the problem of missing data. The Handbook of Research Synthesis and Meta-Analysis also provides a rich treatment of the non-statistical aspects of research synthesis. Topics include searching the literature, and developing schemes for gathering information from study reports. Those engaged in research synthesis will also find useful advice on how tables, graphs, and narration can be used to provide the most meaningful communication of the results of research synthesis. In addition, the editors address the potentials and limitations of research synthesis, and its future directions. The past decade has been a period of enormous growth in the field of research synthesis. The second edition Handbook thoroughly revises original chapters to assure that the volume remains the most authoritative source of information for researchers undertaking meta-analysis today. In response to the increasing use of research synthesis in the formation of public policy, the second edition includes a new chapter on both the strengths and limitations of research synthesis in policy debates
Madmethods 1 3
DOWNLOAD
Author : Paul D Ellis
language : en
Publisher:
Release Date : 2020-09
Madmethods 1 3 written by Paul D Ellis and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-09 with categories.
Three books in one! Get the entire MadMethods series in this special edition for one low price! 1. Effect Size Matters: Learn how to do research that matters and get results that make sense. This plain-English guide will show you how to the answer the dreaded "So what?" question. It will teach you how to interpret the substantive or practical significance of your results and convey them in ways that are meaningful to stakeholders. 2. Statistical Power Trip: Many studies lack the statistical power to find effects. This jargon-free guide will show you how to boost the power of underpowered research and design studies that succeed. Learn how to calculate sample sizes and boost your funding prospects with power analyses that dazzle. 3. Meta-Analysis Made Easy: Will your research make a unique contribution? Or are you reinventing the wheel? Using examples proven in the field and tested in the classroom, this quick guide to meta-analysis will show you how to draw conclusions even from inconclusive studies. It will help you discover patterns of meaning in disparate research and uncover gold mines for further research. What readers are saying: ★★★★★ "Who knew statistics was this interesting? I learned a lot!" ★★★★★ "I was impressed by the clarity (and very amusing examples) in this text." ★★★★★ "Some people write to impress and others to instruct. This book is for instruction." ★★★★★ "Exceptionally lucid overview of power analysis, effect sizes, and sample size calculations." ★★★★★ "The clearest presentation of three complex and important subjects." ★★★★★ "An easy read on a complex topic. Great resource!" ★★★★★ "Clearly explains the concepts behind statistical mechanics." ★★★★★ "Easy to read, understand, and follow." Get your copy now.
The Future Of Meta Analysis
DOWNLOAD
Author : Kenneth W. Wachter
language : en
Publisher: Russell Sage Foundation
Release Date : 1990-06-28
The Future Of Meta Analysis written by Kenneth W. Wachter and has been published by Russell Sage Foundation this book supported file pdf, txt, epub, kindle and other format this book has been release on 1990-06-28 with Psychology categories.
Scientific progress often begins with the difficult task of preparing informed, conclusive reviews of existing research. Since the 1970s, the traditional "subjective" approach to research reviewing in the social sciences has been challenged by a statistical alternative known as meta-analysis. Meta-analysis provides a principled method of distilling reliable generalizations from previous studies on a single topic, thereby providing a quantitative and objective background for future research. The Future of Meta-Analysis brings together expert researchers for an in-depth examination of this new methodology—not to promote a consensus view but rather to explore from several perspectives the theories, tensions, and concerns of meta-analysis, and to illustrate through concrete examples the rationale behind meta-analytic decisions. In a meta-analysis prepared especially for this volume, a statistician and a psychologist review the existing literature on aphasia treatment. In a second study, experts analyze six still-unpublished meta-analyses sponsored by the National Institute of Education to investigate the effects of school desegregation on the academic achievement of black children. This unique case study approach provides valuable discussion of the process of meta-analysis and of the current implications of meta-analysis for policy assessment. Prepared under the auspices of the National Research Council, The Future of Meta-Analysis presents a forum for leaders in this rapidly evolving field to discuss salient conceptual and technical issues and to offer a new theoretical framework, further methodological guidance, and statistical innovations that anticipate a future in which meta-analysis will play an even more effective and valuable role in social science research.
Introduction To Meta Analysis
DOWNLOAD
Author : Michael Borenstein
language : en
Publisher: John Wiley & Sons
Release Date : 2021-04-06
Introduction To Meta Analysis written by Michael Borenstein and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-04-06 with Medical categories.
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: 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 Explains how to avoid common mistakes in meta-analysis Discusses controversies in meta-analysis 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 Download videos, class materials, and worked examples at www.Introduction-to-Meta-Analysis.com
Individual Participant Data Meta Analysis
DOWNLOAD
Author : Richard D. Riley
language : en
Publisher: John Wiley & Sons
Release Date : 2021-06-08
Individual Participant Data Meta Analysis written by Richard D. Riley and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-06-08 with Medical categories.
Individual Participant Data Meta-Analysis: A Handbook for Healthcare Research provides a comprehensive introduction to the fundamental principles and methods that healthcare researchers need when considering, conducting or using individual participant data (IPD) meta-analysis projects. Written and edited by researchers with substantial experience in the field, the book details key concepts and practical guidance for each stage of an IPD meta-analysis project, alongside illustrated examples and summary learning points. Split into five parts, the book chapters take the reader through the journey from initiating and planning IPD projects to obtaining, checking, and meta-analysing IPD, and appraising and reporting findings. The book initially focuses on the synthesis of IPD from randomised trials to evaluate treatment effects, including the evaluation of participant-level effect modifiers (treatment-covariate interactions). Detailed extension is then made to specialist topics such as diagnostic test accuracy, prognostic factors, risk prediction models, and advanced statistical topics such as multivariate and network meta-analysis, power calculations, and missing data. Intended for a broad audience, the book will enable the reader to: Understand the advantages of the IPD approach and decide when it is needed over a conventional systematic review Recognise the scope, resources and challenges of IPD meta-analysis projects Appreciate the importance of a multi-disciplinary project team and close collaboration with the original study investigators Understand how to obtain, check, manage and harmonise IPD from multiple studies Examine risk of bias (quality) of IPD and minimise potential biases throughout the project Understand fundamental statistical methods for IPD meta-analysis, including two-stage and one-stage approaches (and their differences), and statistical software to implement them Clearly report and disseminate IPD meta-analyses to inform policy, practice and future research Critically appraise existing IPD meta-analysis projects Address specialist topics such as effect modification, multiple correlated outcomes, multiple treatment comparisons, non-linear relationships, test accuracy at multiple thresholds, multiple imputation, and developing and validating clinical prediction models Detailed examples and case studies are provided throughout.
Methods Of Meta Analysis
DOWNLOAD
Author : Frank L. Schmidt
language : en
Publisher: SAGE Publications
Release Date : 2014-02-05
Methods Of Meta Analysis written by Frank L. Schmidt and has been published by SAGE Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-02-05 with Social Science categories.
Designed to provide researchers clear and informative insight into techniques of meta-analysis, the Third Edition of Methods of Meta-Analysis: Correcting Error and Bias in Research Findings is the most comprehensive text on meta-analysis available today. It is the only book that presents a full and usable treatment of the role of study artifacts in distorting study results, as well as methods for correcting results for such biases and errors. Meta-analysis is arguably the most important methodological innovation in the last thirty-five years, due to its immense impact on the development of cumulative knowledge and professional practice. This text, now in its updated Third Edition, has been revised to cover the newest developments in meta-analysis methods, evaluation, correction, and more. 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. 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.” —Terri D. Pigott, Loyola University of Chicago “This is an important text. It is the only book that presents adequate coverage of psychometric meta-analysis. In addition to its use as a textbook, it is an invaluable resource for anyone involved in meta-analytic studies.” —Steven Pulos, University of Northern Colorado
Handbook Of Meta Analysis
DOWNLOAD
Author : Christopher H. Schmid
language : en
Publisher: Chapman & Hall/CRC Handbooks of Modern Statistical Methods
Release Date : 2022-03-27
Handbook Of Meta Analysis written by Christopher H. Schmid and has been published by Chapman & Hall/CRC Handbooks of Modern Statistical Methods this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-03-27 with Meta-analysis categories.
Meta-analysis is the application of statistics to combine results from multiple studies and draw appropriate inferences. Its use and importance have exploded over the last 25 years as the need for a robust evidence base has become clear in many scientific areas, including medicine and health, social sciences, education, psychology, ecology, and economics. Recent years have seen an explosion of methods for handling complexities in meta-analysis, including explained and unexplained heterogeneity between studies, publication bias, and sparse data. At the same time, meta-analysis has been extended beyond simple two-group comparisons of continuous and binary outcomes to comparing and ranking the outcomes from multiple groups, to complex observational studies, to assessing heterogeneity of effects, and to survival and multivariate outcomes. Many of these methods are statistically complex and are tailored to specific types of data. Key features Rigorous coverage of the full range of current statistical methodology used in meta-analysis Comprehensive, coherent, and unified overview of the statistical foundations behind meta-analysis Detailed description of the primary methods for both univariate and multivariate data Computer code to reproduce examples in chapters Thorough review of the literature with thousands of references Applications to specific types of biomedical and social science data Supplementary website with code, data, sample chapters, and errata This book is for a broad audience of graduate students, researchers, and practitioners interested in the theory and application of statistical methods for meta-analysis. It is written at the level of graduate courses in statistics, but will be of interest to and readable for quantitative scientists from a range of disciplines. The book can be used as a graduate level textbook, as a general reference for methods, or as an introduction to specialized topics using state-of-the art methods.
How Science Takes Stock
DOWNLOAD
Author : Morton M. Hunt
language : en
Publisher: Russell Sage Foundation
Release Date : 1997-04-24
How Science Takes Stock written by Morton M. Hunt and has been published by Russell Sage Foundation this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997-04-24 with Psychology categories.
Describes the emergence and several applications of a technique that numerically combines diverse research findings on a single question to reveal their central tendency, which some scientists claim provides more reliable conclusions than any single investigation. Hunt talks with the researchers who have developed meta-analysis and are using it in the social sciences, psychotherapy, education, health risks, and the outcome of medical procedures. Annotation copyrighted by Book News, Inc., Portland, OR
The Handbook Of Research Synthesis
DOWNLOAD
Author : Harris M. Cooper
language : en
Publisher: Russell Sage Foundation
Release Date : 1994
The Handbook Of Research Synthesis written by Harris M. Cooper and has been published by Russell Sage Foundation this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994 with Computers categories.
“The Handbook is a comprehensive treatment of literature synthesis and provides practical advice for anyone deep in the throes of, just teetering on the brink of, or attempting to decipher a meta-analysis. Given the expanding application and importance of literature synthesis, understanding both its strengths and weaknesses is essential for its practitioners and consumers. This volume is a good beginning for those who wish to gain that understanding.” —Chance “Meta-analysis, as the statistical analysis of a large collection of results from individual studies is called, has now achieved a status of respectability in medicine. This respectability, when combined with the slight hint of mystique that sometimes surrounds meta-analysis, ensures that results of studies that use it are treated with the respect they deserve....The Handbook of Research Synthesis is one of the most important publications in this subject both as a definitive reference book and a practical manual.”—British Medical Journal The Handbook of Research Synthesis is the definitive reference and how-to manual for behavioral and medical scientists applying the craft of research synthesis. It draws upon twenty years of ground-breaking advances that have transformed the practice of synthesizing research literature from an art into a scientific process in its own right. Editors Harris Cooper and Larry V. Hedges have brought together leading authorities to guide the reader through every stage of the research synthesis process—problem formulation, literature search and evaluation, statistical integration, and report preparation. The Handbook of Research Synthesis incorporates in a single volume state-of-the-art techniques from all quantitative synthesis traditions, including Bayesian inference and the meta-analytic approaches. Distilling a vast technical literature and many informal sources, the Handbook provides a portfolio of the most effective solutions to problems of quantitative data integration. The Handbook of Research Synthesis also provides a rich treatment of the non-statistical aspects of research synthesis. Topics include searching the literature, managing reference databases and registries, and developing coding schemes. Those engaged in research synthesis will also find useful advice on how tables, graphs, and narration can be deployed to provide the most meaningful communication of the results of research synthesis. The Handbook of Research Synthesis is an illuminating compilation of practical instruction, theory, and problem solving. It provides an accumulation of knowledge about the craft of reviewing a scientific literature that can be found in no other single source. The Handbook offers the reader thorough instruction in the skills necessary to conduct powerful research syntheses meeting the highest standards of objectivity, systematicity, and rigor demanded of scientific enquiry. This definitive work will represent the state of the art in research synthesis for years to come.
