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Advances In Meta Analysis

Author: Terri Pigott
Publisher: Springer Science & Business Media
ISBN: 1461422787
Size: 23.82 MB
Format: PDF
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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.

Statistical Power Analysis For The Social And Behavioral Sciences

Author: Xiaofeng Steven Liu
Publisher: Routledge
ISBN: 1136464190
Size: 46.57 MB
Format: PDF, ePub, Mobi
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This is the first book to demonstrate the application of power analysis to the newer more advanced statistical techniques that are increasingly used in the social and behavioral sciences. Both basic and advanced designs are covered. Readers are shown how to apply power analysis to techniques such as hierarchical linear modeling, meta-analysis, and structural equation modeling. Each chapter opens with a review of the statistical procedure and then proceeds to derive the power functions. This is followed by examples that demonstrate how to produce power tables and charts. The book clearly shows how to calculate power by providing open code for every design and procedure in R, SAS, and SPSS. Readers can verify the power computation using the computer programs on the book's website. There is a growing requirement to include power analysis to justify sample sizes in grant proposals. Most chapters are self-standing and can be read in any order without much disruption.This book will help readers do just that. Sample computer code in R, SPSS, and SAS at www.routledge.com/9781848729810 are written to tabulate power values and produce power curves that can be included in a grant proposal. Organized according to various techniques, chapters 1 – 3 introduce the basics of statistical power and sample size issues including the historical origin, hypothesis testing, and the use of statistical power in t tests and confidence intervals. Chapters 4 - 6 cover common statistical procedures -- analysis of variance, linear regression (both simple regression and multiple regression), correlation, analysis of covariance, and multivariate analysis. Chapters 7 - 11 review the new statistical procedures -- multi-level models, meta-analysis, structural equation models, and longitudinal studies. The appendixes contain a tutorial about R and show the statistical theory of power analysis. Intended as a supplement for graduate courses on quantitative methods, multivariate statistics, hierarchical linear modeling (HLM) and/or multilevel modeling and SEM taught in psychology, education, human development, nursing, and social and life sciences, this is the first text on statistical power for advanced procedures. Researchers and practitioners in these fields also appreciate the book‘s unique coverage of the use of statistical power analysis to determine sample size in planning a study. A prerequisite of basic through multivariate statistics is assumed.

Advances In Social Network Analysis

Author: Stanley Wasserman
Publisher: SAGE
ISBN: 9780803943032
Size: 26.16 MB
Format: PDF, ePub, Mobi
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In this book, leading methodologists address the issue of how effectively to apply the latest developments in social network analysis to behavioural and social science disciplines. Topics examined include: ways to specify the network contents to be studied; how to select the method for representing network structures; how social network analysis has been used to study interorganizational relations via the resource dependence model; how to use a contact matrix for studying the spread of disease in epidemiology; and how cohesion and structural equivalence network theories relate to studying social influence. The book also offers some statistical models for social support networks.

The Handbook Of Research Synthesis And Meta Analysis

Author: Harris Cooper
Publisher: Russell Sage Foundation
ISBN: 9780871541635
Size: 40.19 MB
Format: PDF, ePub, Docs
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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 and decisions. Another new chapter looks at computing effect sizes and standard errors from clustered data, such as schools or clinics. Authors also discuss updated techniques for locating hard-to-find "fugitive" literature, ways of systematically assessing the quality of a study, and progress in statistical methods for detecting and estimating the effects of publication bias

Advances In Psychological Science Social Personal And Cultural Aspects

Author: John G. Adair
Publisher: Psychology Press
ISBN: 9780863774706
Size: 43.94 MB
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The volumes Advances in Psychological Science are the most timely reviews for a person who wants an up-to-date "state-of-the-art" description of selected topics in psychology. These volumes will be useful for the graduate student to get a perspective on the latest developments in psychology today. The chapters are written in a non-technical manner, i.e., not for the specialist, but for the educated psychologist who wishes to see developments across the spectrum of psychology. They may be used for teaching or by experts who wish an overview of recent advances in their science. The chapters uniquely reflect the international or global character of psychology, both in the authors selected to write them, and in their coverage of research from around the world. Volume 1 contains original contributions to the social, personal, and cultural aspects of the discipline.

Methods Of Meta Analysis

Author: John Edward Hunter
Publisher: Sage Publications, Inc
ISBN:
Size: 14.67 MB
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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. Rather than taking an encyclopedic approach, the authors have focused on carefully developing those techniques that are most applicable to social science research, and have given a general conceptual description of more complex and rarely-used techniques. Fully revised and updated, Methods of Meta-Analysis, Second Edition is the most comprehensive text on meta-analysis available today.

The Handbook Of Social Psychology

Author: Daniel T. Gilbert
Publisher: Oxford University Press
ISBN: 9780195213768
Size: 56.53 MB
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Leading experts from all areas of social psychology contribute to a discussion of new scientific methods and analytic techniques and look at research advances in their respective specialties.

Applied Meta Analysis For Social Science Research

Author: Noel A. Card
Publisher: Guilford Press
ISBN: 1609184998
Size: 59.29 MB
Format: PDF, ePub
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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.

Meta Analytic Procedures For Social Research

Author: Robert Rosenthal
Publisher: SAGE
ISBN: 9780803942462
Size: 23.61 MB
Format: PDF, Kindle
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Praised in the first edition for the clarity of his general framework for conceptualizing meta-analysis, Rosenthal's revised edition covers the latest techniques in the field, such as a new effect size indicator for one size data, a new coefficient of robustness of replication, new procedures for combining and comparing effect sizes for multiple dependent variables, and new data on the magnitude of the problem of incomplete retrieval (the file drawer problem).

Meta Analysis

Author: Fredric Marc Wolf
Publisher: SAGE
ISBN: 9780803927568
Size: 59.21 MB
Format: PDF, Mobi
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Meta-Analysis shows concisely, yet comprehensively, how to apply statistical methods to achieve a literature review of a common research domain. It demonstrates the use of combined tests and measures of effect size to synthesize quantitatively the results of independent studies for both group differences and correlations. Strengths and weaknesses of alternative approaches, as well as of meta-analysis in general, are presented.