Essential Guide To Effect Sizes Statistical Power Meta Analysis And The Interpretation Of Research Results Interloan 381221
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Essential Guide To Effect Sizes Statistical Power Meta Analysis And The Interpretation Of Research Results Interloan 381221
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Author :
language : en
Publisher:
Release Date :
Essential Guide To Effect Sizes Statistical Power Meta Analysis And The Interpretation Of Research Results Interloan 381221 written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.
Madmethods 1 3
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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.
Meta Analysis
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Author : Elena Kulinskaya
language : en
Publisher: John Wiley & Sons
Release Date : 2008-04-15
Meta Analysis written by Elena Kulinskaya 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 2008-04-15 with Mathematics categories.
Meta Analysis: A Guide to Calibrating and Combining Statistical Evidence acts as a source of basic methods for scientists wanting to combine evidence from different experiments. The authors aim to promote a deeper understanding of the notion of statistical evidence. The book is comprised of two parts – The Handbook, and The Theory. The Handbook is a guide for combining and interpreting experimental evidence to solve standard statistical problems. This section allows someone with a rudimentary knowledge in general statistics to apply the methods. The Theory provides the motivation, theory and results of simulation experiments to justify the methodology. This is a coherent introduction to the statistical concepts required to understand the authors’ thesis that evidence in a test statistic can often be calibrated when transformed to the right scale.
A Practical Guide To Modern Methods Of Meta Analysis
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Author : Larry V. Hedges
language : en
Publisher:
Release Date : 1989
A Practical Guide To Modern Methods Of Meta Analysis written by Larry V. Hedges and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1989 with Science categories.
Methods for meta-analysis have evolved dramatically since Gene Glass first proposed the term in 1976. Since that time statistical and nonstatistical aspects of methodology for meta-analysis have been developing at a steady pace. This guide is an attempt to provide a practical introduction to rigorous procedures in the meta-analysis of social science research. It approaches the use of modern statistical methods in meta-analysis from the perspective of a potential user. The treatment is limited to meta-analysis of studies of between-group comparisons using the standardized mean difference as an index of effect magnitude. This guide is organized according to a variant of Cooper's stages of the research review process: (1) problem formulation; (2) data collection and data evaluation, data analysis and interpretation; and (3) presentation of results. Although each stage is discussed, the greatest emphasis is placed on the stage of data analysis and interpretation. Examples from a synthesis of research on the effects of science curricula are used throughout for illustration. Because this book is intended to be a practical guide, the references are provided primarily to exemplify issues or techniques rather than to provide theoretical discussions or derivations. (CW)
Meta Analysis Made Simple
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Author : Pasquale De Marco
language : en
Publisher: Pasquale De Marco
Release Date : 2025-04-11
Meta Analysis Made Simple written by Pasquale De Marco and has been published by Pasquale De Marco this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-11 with Science categories.
Meta-Analysis Made Simple is the ultimate guide to conducting and interpreting meta-analyses, the statistical method used to combine the results of multiple studies to draw more precise and reliable conclusions. This comprehensive book provides a step-by-step guide to the entire meta-analysis process, from planning and conducting a meta-analysis to interpreting and reporting the results. Written in a clear and accessible style, Meta-Analysis Made Simple is suitable for researchers, students, and practitioners in a variety of fields. It is also an essential resource for anyone who wants to understand the role of meta-analysis in evidence-based practice. This book begins by introducing the basic concepts of meta-analysis and discussing its advantages and limitations. It then provides a detailed overview of the statistical methods used in meta-analysis, including fixed-effects and random-effects models, meta-regression analysis, and sensitivity analysis. The book also emphasizes the importance of critical thinking and interpretation of results, providing guidance on how to assess the quality of studies included in a meta-analysis, identify and address potential biases, and draw meaningful conclusions from the findings. In addition to covering the statistical methods and techniques used in meta-analysis, this book also provides practical guidance on conducting a meta-analysis. It includes step-by-step instructions on how to identify and select studies, extract data, and analyze the results. The book also provides guidance on writing a meta-analysis report and presenting the results in a clear and concise manner. Meta-Analysis Made Simple is the definitive guide to this powerful research method. It is an essential resource for anyone who wants to conduct a meta-analysis, learn about meta-analysis, or use meta-analysis to inform their practice. If you like this book, write a review on google books!
Statistical Meta Analysis With Applications
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Author : Joachim Hartung
language : en
Publisher: John Wiley & Sons
Release Date : 2011-09-20
Statistical Meta Analysis With Applications written by Joachim Hartung 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 2011-09-20 with Medical categories.
An accessible introduction to performing meta-analysis across various areas of research The practice of meta-analysis allows researchers to obtain findings from various studies and compile them to verify and form one overall conclusion. Statistical Meta-Analysis with Applications presents the necessary statistical methodologies that allow readers to tackle the four main stages of meta-analysis: problem formulation, data collection, data evaluation, and data analysis and interpretation. Combining the authors' expertise on the topic with a wealth of up-to-date information, this book successfully introduces the essential statistical practices for making thorough and accurate discoveries across a wide array of diverse fields, such as business, public health, biostatistics, and environmental studies. Two main types of statistical analysis serve as the foundation of the methods and techniques: combining tests of effect size and combining estimates of effect size. Additional topics covered include: Meta-analysis regression procedures Multiple-endpoint and multiple-treatment studies The Bayesian approach to meta-analysis Publication bias Vote counting procedures Methods for combining individual tests and combining individual estimates Using meta-analysis to analyze binary and ordinal categorical data Numerous worked-out examples in each chapter provide the reader with a step-by-step understanding of the presented methods. All exercises can be computed using the R and SAS software packages, which are both available via the book's related Web site. Extensive references are also included, outlining additional sources for further study. Requiring only a working knowledge of statistics, Statistical Meta-Analysis with Applications is a valuable supplement for courses in biostatistics, business, public health, and social research at the upper-undergraduate and graduate levels. It is also an excellent reference for applied statisticians working in industry, academia, and government.
Introduction To Meta Analysis
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Author : Michael Borenstein
language : en
Publisher: John Wiley & Sons
Release Date : 2021-04-19
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 2021-04-19 with Medical categories.
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) Download videos, class materials, and worked examples at www.Introduction-to-Meta-Analysis.com "This book offers the reader a unified framework for thinking about meta-analysis, and then discusses all elements of the analysis within that framework. The authors address a series of common mistakes and explain how to avoid them. As the editor-in-chief of the American Psychologist and former editor of Psychological Bulletin, I can say without hesitation that the quality of manuscript submissions reporting meta-analyses would be vastly better if researchers read this book." —Harris Cooper, Hugo L. Blomquist Distinguished Professor Emeritus of Psychology and Neuroscience, Editor-in-chief of the American Psychologist, former editor of Psychological Bulletin "A superb combination of lucid prose and informative graphics, the authors 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 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 examples provide a superb practical guide to performing a meta-analysis. The book provides an eclectic mix of examples from education, social science, biomedical studies, and even ecology. For anyone considering leading a course in meta-analysis, or pursuing self-directed study, Introduction to Meta-analysis would be a clear first choice." —Jesse A. Berlin, ScD
Doing Meta Analysis With R
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Author : Mathias Harrer
language : en
Publisher: CRC Press
Release Date : 2021-09-14
Doing Meta Analysis With R written by Mathias Harrer and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-09-14 with Mathematics categories.
Doing Meta-Analysis with R: A Hands-On Guide serves as an accessible introduction on how meta-analyses can be conducted in R. Essential steps for meta-analysis are covered, including calculation and pooling of outcome measures, forest plots, heterogeneity diagnostics, subgroup analyses, meta-regression, methods to control for publication bias, risk of bias assessments and plotting tools. Advanced but highly relevant topics such as network meta-analysis, multi-three-level meta-analyses, Bayesian meta-analysis approaches and SEM meta-analysis are also covered. A companion R package, dmetar, is introduced at the beginning of the guide. It contains data sets and several helper functions for the meta and metafor package used in the guide. The programming and statistical background covered in the book are kept at a non-expert level, making the book widely accessible. Features Contains two introductory chapters on how to set up an R environment and do basic imports/manipulations of meta-analysis data, including exercises Describes statistical concepts clearly and concisely before applying them in R Includes step-by-step guidance through the coding required to perform meta-analyses, and a companion R package for the book
Effect Size Matters How Reporting And Interpreting Effect Sizes Can Improve Your Publication Prospects And Make The World A Better Place
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Author : Paul D. Ellis
language : en
Publisher: Madmethods
Release Date : 2020-09
Effect Size Matters How Reporting And Interpreting Effect Sizes Can Improve Your Publication Prospects And Make The World A Better Place 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.
Want to do research that matters? Want results that make sense? This jargon-free introduction to effect sizes will show you how to the answer the dreaded "So what?" question. It will teach you how to interpret the substantive as opposed to the statistical significance of your results. Find out why your estimate of the effect size is the primary output of your study Learn how to calculate effect sizes in a variety of metrics Boost your publication prospects by interpreting the real-world significance of your results Discover the difference between an effect size and a p-value Understand the critical role of effect sizes in power- and meta-analyses And that's just for starters! Give journal editors what they are asking for - results that are engaging and relevant to stakeholders. Using a class-tested approach, Effect Size Matters will provide you with the tools to meaningfully interpret the results of your research. Book 1 of 3 in the MadMethods series. (Get all three books for less than the price of two with MadMethods 1-3!) Get your copy now!
Systematic Reviews And Meta Analysis
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Author : Jacqueline Corcoran
language : en
Publisher: Oxford University Press
Release Date : 2008-02-13
Systematic Reviews And Meta Analysis written by Jacqueline Corcoran and has been published by Oxford University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-02-13 with Social Science categories.
When used in tandem, systematic reviews and meta-analysis-- two distinct but highly compatible approaches to research synthesis-- form a powerful, scientific approach to analyzing previous studies. But to see their full potential, a social work researcher must be versed in the foundational processes underlying them. This pocket guide to Systematic Reviews and Meta-Analysis illuminates precisely that practical groundwork. In clear, step-by-step terms, the authors explain how to format topics, locate and screen studies, extract and assess data, pool effect sizes, determine bias, and interpret the results, showing readers how to combine reviewing and meta-analysis correctly and effectively. Each chapter contains vivid social work examples and concludes with a concise summary and notes on further reading, while the books glossary and handy checklists and sample search and data extraction forms maximize the books usefulness. Highlighting the concepts necessary to understand, critique, and conduct research synthesis, this brief and highly readable introduction is a terrific resource for students and researchers alike.