Advances in Meta-Analysis

2012-02-01
Advances in Meta-Analysis

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  • Author: Terri Pigott
  • Publisher: Springer Science & Business Media
  • ISBN: 1461422787
  • Category : Social Science
  • Languages : en
  • Pages : 166

The subject of the book is advanced statistical analyses for quantitative research synthesis (meta-analysis), and selected practical issues relating to research synthesis that are not covered in detail in the many existing introductory books on research synthesis (or meta-analysis). Complex statistical issues are arising more frequently as the primary research that is summarized in quantitative syntheses itself becomes more complex, and as researchers who are conducting meta-analyses become more ambitious in the questions they wish to address. Also as researchers have gained more experience in conducting research syntheses, several key issues have persisted and now appear fundamental to the enterprise of summarizing research. Specifically the book describes multivariate analyses for several indices commonly used in meta-analysis (e.g., correlations, effect sizes, proportions and/or odds ratios), will outline how to do power analysis for meta-analysis (again for each of the different kinds of study outcome indices), and examines issues around research quality and research design and their roles in synthesis. For each of the statistical topics we will examine the different possible statistical models (i.e., fixed, random, and mixed models) that could be adopted by a researcher. In dealing with the issues of study quality and research design it covers a number of specific topics that are of broad concern to research synthesists. In many fields a current issue is how to make sense of results when studies using several different designs appear in a research literature (e.g., Morris & Deshon, 1997, 2002). In education and other social sciences a critical aspect of this issue is how one might incorporate qualitative (e.g., case study) research within a synthesis. In medicine, related issues concern whether and how to summarize observational studies, and whether they should be combined with randomized controlled trials (or even if they should be combined at all). For each topic, included is a worked example (e.g., for the statistical analyses) and/or a detailed description of a published research synthesis that deals with the practical (non-statistical) issues covered.

Advances in Meta-Analysis

2012-01-31
Advances in Meta-Analysis

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  • Author: Terri Pigott
  • Publisher: Springer Science & Business Media
  • ISBN: 1461422779
  • Category : Mathematics
  • Languages : en
  • Pages : 166

The subject of the book is advanced statistical analyses for quantitative research synthesis (meta-analysis), and selected practical issues relating to research synthesis that are not covered in detail in the many existing introductory books on research synthesis (or meta-analysis). Complex statistical issues are arising more frequently as the primary research that is summarized in quantitative syntheses itself becomes more complex, and as researchers who are conducting meta-analyses become more ambitious in the questions they wish to address. Also as researchers have gained more experience in conducting research syntheses, several key issues have persisted and now appear fundamental to the enterprise of summarizing research. Specifically the book describes multivariate analyses for several indices commonly used in meta-analysis (e.g., correlations, effect sizes, proportions and/or odds ratios), will outline how to do power analysis for meta-analysis (again for each of the different kinds of study outcome indices), and examines issues around research quality and research design and their roles in synthesis. For each of the statistical topics we will examine the different possible statistical models (i.e., fixed, random, and mixed models) that could be adopted by a researcher. In dealing with the issues of study quality and research design it covers a number of specific topics that are of broad concern to research synthesists. In many fields a current issue is how to make sense of results when studies using several different designs appear in a research literature (e.g., Morris & Deshon, 1997, 2002). In education and other social sciences a critical aspect of this issue is how one might incorporate qualitative (e.g., case study) research within a synthesis. In medicine, related issues concern whether and how to summarize observational studies, and whether they should be combined with randomized controlled trials (or even if they should be combined at all). For each topic, included is a worked example (e.g., for the statistical analyses) and/or a detailed description of a published research synthesis that deals with the practical (non-statistical) issues covered.

Mass Media Effects Research

2007
Mass Media Effects Research

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  • Author: Raymond W. Preiss
  • Publisher: Psychology Press
  • ISBN: 080584998X
  • Category : Mass media
  • Languages : en
  • Pages : 538

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Advanced Basic Meta-analysis

2013-05-13
Advanced Basic Meta-analysis

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  • Author: Brian Mullen
  • Publisher: Psychology Press
  • ISBN: 1134751451
  • Category : Psychology
  • Languages : en
  • Pages : 184

In response to the growing emphasis on precision in the summarization and integration of research literature, Advanced BASIC Meta-Analysis presents an overview of strategies, techniques, and procedures used in meta-analysis. The book and software provide an integrated and comprehensive combination of meta-analytic tools for the statistical integration of independent study results. Advanced BASIC Meta-Analysis has three distinct goals: * to provide a clear and user-friendly introduction to the procedures and rules of effective meta-analytic integration; * to present the implicit assumptions and strategies that guide successful meta-analytic integrations; and * to develop a meta-analytic database management system that allows users to create, modify, and update a database, including the relevant statistical information and predictors, for a given research domain. The companion software system allows users to perform a full complement of meta-analytic statistical functions with the speed and flexibility of a database management system. It can also construct a wide array of meta-analytic graphic displays. This text and software package serves as a useful introduction to the quantitative assessment of research domains for those new to meta-analyses. It is also a valuable sourcebook for those who have already conducted meta-analyses.

Doing Meta-Analysis with R

2021-09-15
Doing Meta-Analysis with R

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  • Author: Mathias Harrer
  • Publisher: CRC Press
  • ISBN: 1000435636
  • Category : Mathematics
  • Languages : en
  • Pages : 500

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

Interpersonal Communication Research

2001-08
Interpersonal Communication Research

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  • Author: Mike Allen
  • Publisher: Routledge
  • ISBN: 1135673004
  • Category : Language Arts & Disciplines
  • Languages : en
  • Pages : 499

This exceptional collection--a compilation of meta-analyses related to issues in interpersonal communication--provides an expansive review of existing interpersonal communication research. Incorporating a wide variety of topics related to interpersonal communication, including couples and safe sex, parent-child communication, argumentativeness, and self-disclosure, the contributions in this volume also examine such basic issues as reciprocity, constructivism, social support in interpersonal communication, as well as gender, conflict, and marital and organizational issues. With contributions organized into five sections, this volume: *sets the stage for independent meta-analyses; *provides an overview of individual characteristics in interpersonal communication and the meta-analyses reflecting this theme; *explores the dyadic and interactional approaches to interpersonal communication; and *examines the impact of the meta-analyses on the understanding of interpersonal communication. As a resource for interpersonal communication researchers at all levels, this volume establishes a solid foundation from which to launch the next generation of study and research.

Applied Meta-Analysis for Social Science Research

2015-10-06
Applied Meta-Analysis for Social Science Research

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  • Author: Noel A. Card
  • Publisher: Guilford Publications
  • ISBN: 1462525008
  • Category : Psychology
  • Languages : en
  • Pages : 401

Offering pragmatic guidance for planning and conducting a meta-analytic review, this book is written in an engaging, nontechnical style that makes it ideal for graduate course use or self-study. The author shows how to identify questions that can be answered using meta-analysis, retrieve both published and unpublished studies, create a coding manual, use traditional and unique effect size indices, and write a meta-analytic review. An ongoing example illustrates meta-analytic techniques. In addition to the fundamentals, the book discusses more advanced topics, such as artifact correction, random- and mixed-effects models, structural equation representations, and multivariate procedures. User-friendly features include annotated equations; discussions of alternative approaches; and "Practical Matters" sections that give advice on topics not often discussed in other books, such as linking meta-analytic results with theory and the utility of meta-analysis software programs. ÿ

Meta-analysis

2003
Meta-analysis

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  • Author: Ralf Schulze
  • Publisher: Cambridge, MA ; Toronto : Hogrefe & Huber
  • ISBN: 9780889372665
  • Category : Clinical trials
  • Languages : en
  • Pages : 0

Table of Contents Preface bull; Part I Theory bull; Homogeneity Tests in Meta-Analysis, Joachim Hartung, Dogan Arga and Kepher Makambi bull; Meta-Analysis: A General Principle for Estimating Heterogeneity - Variance in Several Models, Uwe Malzahn bull; Differences in the Results of Three Meta-Analytical Approaches: Myths and Reality, Ralf Schulze, Heinz Holling, Heiko Gromann, Andreas Jutting and Michaela Brocke bull; An Alternative Test Procedure for Meta-Analysis, Joachim Hartung and Guido Knapp bull; Statistical Tests for the Detection of Bias in Meta-Analysis, Guido Schwarzer, Gerd Antes and Martin Schumacher bull; Issues of Reviews and Meta-Analyses of Observational Studies, Wilhelm Sauerbrei and Maria Blettner bull; Meta-Analysis in the Evaluation of Medical Treatments, Armin Koch and Joachim Rohmel bull; Will it Work in Munster? Meta-Analysis and the Empirical Generalization of Causal Relationships, Georg E. Matt bull; Meta-Analysis - Not Just Research Synthesis! Uwe Czienskowski bull; Part II Applications bull; The Application of Methods of Meta-Analysis for Heterogeneity Modeling in Quality Control and Assurance, Dankmar Bohning and Uwe-Peter Dammann bull; Influential Factors for Sensitivity and Specificity for Serodiagnosis of Human and Porcine Trichinellosis, Matthias Greiner, Karl Wegscheider, Dankmar Bohning and Susanne Dahms bull; Meta-Analysis in Hospital and Clinical Epidemiology, Ekkehart Dietz and Klaus Weist bull; A Generalized Linear Model Incorporating Measurement Error and Heterogeneity Applied to Meta-Analysis of Published Results in Hodgkin's Disease, Jeremy Franklin bull; The Influence of Design Variables onthe Results of Controlled Clinical Trials on Antidepressants: A Meta-Analysis, Claudia Schochlin, Jurgen Klein, Dorothee Abraham-Rudolf, and Rolf R. Engel bull; On the Moderating Effect of the Principle of Compatibility and Multidimensionality of Beliefs: A Meta-Analysi

Meta-Analysis in Psychiatry Research

2017-03-16
Meta-Analysis in Psychiatry Research

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  • Author: Mallikarjun B. Hanji
  • Publisher: CRC Press
  • ISBN: 1771883774
  • Category : Mathematics
  • Languages : en
  • Pages : 280

This book introduces the latest meta-analytical methods and discusses their applications in the field of psychiatry. A comprehensive list of methods used in meta-analysis has been described in simple language and demonstrated with real-time examples. This informative volume explains the importance of meta-analysis and describes how it differs from narrative and systematic reviews. It also relates the historical development of meta-analysis and explains methods used for locating and selecting the required studies in a given domain. Suitable software is examined in detail as well.

Introduction to Meta-Analysis

2011-08-24
Introduction to Meta-Analysis

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  • Author: Michael Borenstein
  • Publisher: John Wiley & Sons
  • ISBN: 1119964377
  • Category : Medical
  • Languages : en
  • Pages : 350

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 world’s 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 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 Introduction to Meta-Analysis is an excellent resource for novices and experts alike. The book provides a clear and comprehensive presentation of all basic and most advanced approaches to meta-analysis. This book will be referenced for decades. Michael A. McDaniel, Professor of Human Resources and Organizational Behavior, Virginia Commonwealth University