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Applied Meta Analysis For Social Science Research

Author : Noel A. Card
language : en
Publisher: Guilford Publications
Release Date : 2015-10-06

PDF Download Applied Meta Analysis For Social Science Research Books For free written by Noel A. Card and has been published by Guilford Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-10-06 with Psychology categories.

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 The author shows how to identify questions that can be answered using meta-analysis, retrieve both published and unpublished studies, create a coding manual, use traditional and unique effect size indices, and write a meta-analytic review.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

Research Synthesis And Meta Analysis

Author : Harris Cooper
language : en
Publisher: SAGE Publications
Release Date : 2015-12-24

PDF Download Research Synthesis And Meta Analysis Books For free written by Harris Cooper and has been published by SAGE Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-12-24 with Social Science categories.

The Fifth Edition of Harris Cooper's bestselling Research Synthesis and Meta-Analysis: A Step-by-Step Approach offers practical advice on how to conduct a synthesis of research in the social, behavioral, and health sciences. The book is written in plain language with four running examples drawn from psychology, education, and health science. With ample coverage of literature searching and the technical aspects of meta-analysis, this one-of-a-kind book applies the basic principles of sound data gathering to the task of producing a comprehensive assessment of existing research.

Meta Analysis

Author : Ralf Schulze
language : en
Publisher: Cambridge, MA ; Toronto : Hogrefe & Huber
Release Date : 2003

PDF Download Meta Analysis Books For free written by Ralf Schulze and has been published by Cambridge, MA ; Toronto : Hogrefe & Huber this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003 with Mathematics categories.

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 For Public Management And Policy

Author : Evan Ringquist
language : en
Publisher: John Wiley & Sons
Release Date : 2013-01-03

PDF Download Meta Analysis For Public Management And Policy Books For free written by Evan Ringquist 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 2013-01-03 with Business & Economics categories.

Praise for Meta-Analysis for Public Management and Policy "In his usual rigorous but readable style, Evan Ringquist andco-author Mary Anderson have produced a tour-de-force on the topicof meta-analysis in public policy and managementresearch. Meta-analysis is badly needed in the all-too-commonsituation when researchers have low confidence in summarizing theoverall results of dozens of studies on the effectiveness of somepolicy. This book has a nice combination of conceptualoverview, methodological details, and applications that will makeit possible for researchers to conduct their ownmeta-analysis. It is tempting to require all graduate studentsto write a meta-analysis as a chapter in their dissertation, orinclude meta-analysis as a standard offering in the researchmethods curriculum of social science graduate programs. Themore people that adopt Ringquist and Anderson's approach, the lessresources will be wasted on conducting studies that do notcontribute to cumulative scientific knowledge. " —Mark Lubell Department of Environmental Science and Policy Director, Center for Environmental Policy and Behavior Universityof California-Davis “Ringquist and his colleagues deliver value and add tocanon of public management methods by delivering an analyticalframework that makes the case for systematic research using thetools of meta-analysis. This book will be a must read for allcommitted to strengthening evidence-based research that improvespublic policy and management decision making.” —David M. Van Slyke The Maxwell School of Citizenship and Public Affairs SyracuseUniversity “In Meta-Analysis for Public Management and Policy EvanRingquist and his colleagues provide a lucid and practical roadmapfor policy and public management scholars who use meta-analysis intheir research. But this is more than a “how to”volume; it provides background on why meta-analysis is a potentmeans for accumulating and synthesizing empirical researchfindings, and shows how its use has evolved in recent decades.Specific applications of meta-analysis to long-standing policy andmanagement debates are given, essentially providing an array ofdeveloped “templates” through which scholars andpractitioners can assess how to approach different kinds ofanalytical problems using meta-analysis. Particularly valuable tome is the careful development and presentation of the necessarystages of meta-analysis, from conceptualization through data codingand bias assessment to advanced modeling. All of the statisticalanalyses can be conducted in Stata, utilizing readily available“.ado” modules. I will use this book, both inresearch and in the classroom. Overall it is one of the most usefulmethodological contributions I’ve seen in sometime.” —Hank Jenkins-Smith Department of Political Science Director, Center for Applied SocialResearch University of Oklahoma “Meta-Analysis for Public Management and Policy conveysthe considerable untapped potential of meta-analysis to strengthenand advance bodies of knowledge and evidence in public managementand policy. This book takes students and researchers deepinto the methods of meta-analysis and details of their empiricalapplication, without losing sight of the important policy questionsand the implications of choices that researchers make in theirempirical work for the production of evidence for public managersand policymakers. This book will serve as an excellentpractical guide for those conducting their first meta-analysis,while at the same time supporting critically-focused consumption ofexisting meta-analyses and discussion of where the field cangainfully take this approach to enhance our research and knowledgebases. It draws in a range of valuable and important examplesof applications of meta-analysis techniques throughout the book androunds off with four full-fledged applications of themethod. Although the book reaches out to an audience of publicmanagement and policy researchers and consumers of this research,it should be of interest to a broad range of applied social scienceresearchers and students as well.” —Carolyn Heinrich Sid Richardson Professor of Public Affairs Director, Center forHealth and Social Policy LBJ School of Public Affairs University ofTexas – Austin “Even for incredibly specialized techniques, publicmanagement and policy scholars have a multiplicity of methods textsfrom which to choose. Yet it is truly surprising that a strongguide to applied meta-analysis — a rigorous framework for theorganization of empirical findings — has not beenavailable. Ringquist and Anderson provided just that with anaccessible guide to sophisticated techniques. Marryingan instructive text to a set of exemplary standalone studies,Meta-Analysis for Public Management and Policy offers unparalleledguidance for instructors and students and more than a little wisdomfor seasoned scholars. It is destined to become the standardreference for our field.” —Anthony Michael Bertelli CC Crawford Chair in Management and Performance USC Price School ofPublic Policy USC Gould School of Law University of SouthernCalifornia “This comprehensive treatment of meta-analysis is anexcellent guide for scholars and students in public management andpublic policy. The carefully done exposition demonstrates whymeta-analysis should have greater use in theprofession.” —Kenneth J. Meier Charles H. Gregory Chair in Liberal Arts Department of PoliticalScience Texas A&M University “This remarkable book reviews the history of the use ofmeta-analysis in the social sciences, argues forcefully for itsimportance, value, and relevance for public managers, and providesone-stop-shopping for those who want to learn how to do it orunderstand how others have done it. The detailed coverage ofeach step in the process allows a student to learn the techniquecompletely while fully understanding the logic and intellectualgoals of the enterprise. Most importantly, the authors reviewtechniques from a range of disciplines, drawing most of theirpositive suggestions from the field of medical statistics ratherthan the social sciences. The examples and applications, onthe other hand, stem from the world of government and publicpolicy. Four chapters provide new syntheses of research onindividual policies using the techniques and practices introducedin the earlier chapters. The result is original research, astrong argument for the value of meta-analysis in a field(political science and public administration) that uses it little,and a complete tool-kit for those who would want to apply thesepowerful ideas on their own. A very impressive and usefultext.” —Frank R. Baumgartner Richard J. Richardson Distinguished Professor Department ofPolitical Science University of North Carolina at Chapel Hill “Meta-analysis is a valuable tool for accumulatingknowledge about how management matters from across a range ofpolicy areas and disciplines. It is also an underused tool, inlarge part because of the lack of a comprehensive and useable guideon the topic. Ringquist remedies this problem by offering clearinstruction on how to apply the technique wisely, as well as highlyuseful empirical demonstrations. The field of public managementneeds this excellent book.” —Donald Moynihan Professor of Public Affairs University ofWisconsin-Madison “Professors and students frequently face decisions abouthow deeply to invest in a statistical procedure, a new technology,a new theory, or some other development in their discipline. The authors of Meta-Analysis for Public Management and Policysupport such a decision about meta-analysis by making a convincingcase for its value and increasing utilization, including such stepsas a careful consideration of criticisms of the method. EvanRingquist then provides clearly, engagingly written chapters on themajor concepts, procedures, and issues in the techniques ofmeta-analysis. His coauthors then provideeffectively-presented examples of meta-analytic studies about suchtopics as school voucher effectiveness, public service motivationand performance, and public sector performance management. The accessible and reader-friendly explanations, coupled with theillustrative examples that walk the reader through how to do it,make this a distinctively effective methodological text. Inso doing, it offers a distinctively valuable resource for those ofus who want to learn more about this important statisticalmethod.” —Hal Rainey Alumni Foundation Distinguished Professor Department of PublicAdministration and Policy University of Georgia “James Heckman’s Nobel lecture described thecombined influence of micro surveys, advances in computers andsoftware, and the development and dissemination of multivariatestatistical methods on applied economic research. His commentsapply equally well to empirical research throughout the socialsciences. These forces have created a “flood ofnumbers” and advances in technology since he wrote about themhave assured that the process is accelerating. We need to transformthe ways we learn from empirical analyses and create a science forthe analysis of the secondary data from applied statistical andeconometric models. This science would include methods forsummarizing what has been learned from estimates and tests. Itwould provide methods for diagnostic screening of results to gaugethe importance of modeling assumptions and the types of primarydata for the findings being reported. Finally, it may well lead tothe development of meta-models—integrating findings intendedto describe a single system but viewed thru distinctive empiricallenses. Meta-analysis is a method that takes an important step indeveloping this science. It is a collection of methods that is aproduct of the transformation in applied research in the past halfcentury. Initially much of this research was the domain of socialscientists working on the evaluation of educational interventions.In these applications the primary data from different studies wereroutinely available, but the outcome and control variables differedacross studies. As a result, the focus for these meta-analyses wason data combination with multiple, distinctive measures for assetof latent variables associated with the hypothesized underlyingprocess. The texts describing meta-analysis focused on thesesituations. As applications of meta-analysis expanded to economics,political science, and sociology, the data structures changed. Thenew data came from empirical models –as estimated parametersor summaries of test results. The challenges posed in developingthese types of data and understanding what they reveal weredistinctly different. A text developed by scholars who appreciatehow these types of summaries are different was missing untilRingquist and Anderson’s Meta Analysis for Public Managementand Policy. Explaining a process that blends the best ofqualitative and quantitative research is a challenge. This book hasmet this challenge and delivered researchers a great platform forteaching these methods to their students and for updating their ownskills. At least four features distinguish this book: 1. The authors display a clear understanding of thestrengths and the weaknesses of meta- analysis. Their treatmentdescribes how care in data construction, variable coding, relevantstatistical methods and, especially, careful attention tointerpreting the findings from a meta-analysis can reinforce thestrengths and mitigate the weaknesses. 2. There are real examples presented throughout the book alongwith a genuine understanding of the importance of the details indeveloping meta-analyses. 3. The coverage of relevant statistical methods iscomprehensive and clear. And 4. The Appendices offer the detail researchers need to see inorder to genuinely learn how to use meta analytic methods. It should be in the library of every serious teacher orpractitioner”—V. Kerry Smith Regents Professor and W.P.Carey Professor Department of Economics Arizona StateUniversity “There are several texts for meta-analysis available, mostnotably “The Handbook of Research Synthesis andMeta-Analysis” by Cooper, Hedges and Valentine, but nonespecifically directed to public administration and policyscholars. In fact the points of emphasis and examples make theexisting texts both difficult and poorly suited for the appliedsocial sciences. Ringquist’s book is a spectacularsuccess in filling this lacuna. Ringquist provides a clearer encapsulation of “thebasics” in its opening section, and the “basics”are tailored to “problem-oriented” policy sciences(noting for instance, that meta-analyses in public management andpolicy will almost always use random-effects overfixed-effects). The empirical examples woven throughout aswell as the actual analyses on PSM and school vouchers areexceptionally useful in identifying the stages of theprocess. At the same time, the book doesn’t spare thegritty details of confronting commonly required procedures, likebootstrapping and dealing with clustered robust SE, hierarchicalmodeling, etc. For readers with no exposure to meta-analysis, thetext eases the transition by offering a refresher on howstatistical techniques are used in original research, then how theydiffer when used in meta-analysis. Ringquist offers guidelines for syntheses, formulating problems,data evaluation, turning studies into data, techniques inmeta-analysis, “the language of meta-analysis”,coding strategies and publication bias. The author also notes thatthe context and even techniques of meta-analysis are different forpublic management and public policy compared with medicine andpsychology, and education. Public administration and policyanalysis provide great opportunities for meta-analysis, butthese fields also present considerable challenge. Great careis needed in synthesizing differently designed studies, which areobservational and quasi-experimental or correlational designs,because the statistics of meta-analysis were originally developedto synthesize results from experiment design. Measurement issuesare tricky because authentic scales are used less frequently thanin psychology or medical research. In addition PA and policyas fields of scholarship are diverse and eclectic in researchdesign which makes comparison of parameter estimates exceedinglydifficult. Ringquist adroitly compiles an approach to meta-analysis adapted to reflect thiscontext. While Section 1 consists of seven chapters, which discussestechniques of meta-analysis, Section 2 including Chapters 8, 9, 10and 11 illustrates actual studies using meta-analysis conducted inpublic management and policy research: evaluating the effectivenessof educational vouchers, performance management in public sector,the effects of federal poverty deconcentration efforts on economicself-sufficiency and problematic behaviors, and the relationshipbetween public service motivation and performance. The book is an easier read than other texts in it guides fromproject inception through lit review and analysis in a mannertailored to policy and management, and it actually provides a muchmore accessible and thorough coverage of many of the basic buildingblocks, random effects, r-based effect sizes, and bootstrapping,making it far more indispensable for any PA meta-analysis. The check-lists for coding articles are especially useful.Provision of Stata commands and practical data managementsuggestions (creating a command file for data set transformations,for instance) is a great advantage for this text. Adding anaddendum with R programming options, in the next edition might behelpful too. The conclusion both compelling and concise but Iwould like to have seen some of the arguments presented here at thebeginning of the book, reserving the conclusion for a fullerencapsulation of what the overall strategy of the book accomplishesin stages – rebutting criticisms that meta-analysis in socialscience is a waste of time because study estimates arenon-comparable and effect sizes non-independent with carefulexamination of research design and models. This book is essential reading for any scholar in publicadministration and policy considering undertakingmeta-analysis. I expect it will gain many readers in othersocial science disciplines as well. For serious users ofmeta-analysis Ringquist’s book will not be the only one onthe shelf, but it is a valuable addition.” —Richard Feiock Augustus B. Turnbull Professor Askew School of PublicAdministration and Policy Florida State University

Practical Meta Analysis

Author : Mark W. Lipsey
language : en
Publisher: Sage Publications, Inc
Release Date : 2001

PDF Download Practical Meta Analysis Books For free written by Mark W. Lipsey and has been published by Sage Publications, Inc this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001 with Social Science categories.

What research designs and methodological features qualify a study for meta-analysis and which disqualify it? What types of research reports are appropriate for the meta-analysis? What is the cultural and linguistic range of the studies to be included? By integrating and translating the current methodological and statistical work into a practical guide, the authors address these questions to provide readers with a state-of-the-art introduction to the various approaches to doing meta-analysis. Through the use of a simple metaphor, that of meta-analysis as a form of survey research in which research reports, rather than individual people, are surveyed, the authors show readers how to develop a coding form for their meta-analysis, how to select and gather various research reports for the study, how to code the appropriate information about each study's characteristics, and how to analyze the resulting data using various software packages.

Health Illness And Optimal Aging Second Edition

Author : Carolyn M. Aldwin, Ph.D.
language : en
Publisher: Springer Publishing Company
Release Date : 2013-01-17

PDF Download Health Illness And Optimal Aging Second Edition Books For free written by Carolyn M. Aldwin, Ph.D. and has been published by Springer Publishing Company this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-01-17 with Social Science categories.

"Aldwin and Gilmer have supplied an interesting textual model for examining health, illness, and aging. Their homogenized approach to aging research is refreshing and insightful."--Anthropology and Aging Quarterly "Clearly written at a level for college students, this is an excellent resource on aging...Highly recommended.--Choice: Current Reviews for Academic Libraries Spanning the biological and psychosocial aspects of aging, this upper-level undergraduate and graduate text integrates current findings in biology, psychology, and the social sciences to provide comprehensive, multidisciplinary coverage of the aging process. This new edition incorporates the tremendous amount of research that has come to light since the first edition was published. From a physical perspective, the text examines age-related changes and disease-related processes, the demography of the aging population, aging theories, and how to promote optimal aging. Coverage of the psychosocial aspects of aging encompasses mental health, stress and coping, spirituality, and caregiving in later years. The authors address demographic, theoretical, and methodological issues on aging, including a worldwide overview of aging demographics. The book reviews biological and psychosocial theories and offers much-needed information on longitudinal design and statistics as they relate to aging research. It discusses the aging of the major organ systems, the brain and sensory systems, and the endocrine and immune systems; basic anatomy and physiology; normal, impaired, and optimal aging; and functional health. Psychosocial factors that affect health are addressed, including the interplay between physical health and mental health, stress, coping, and social support. The text also covers current issues in social gerontology, including such promising new trends as gerontechnology and Green Houses, and provides information on health promotion programs. New to the Second Edition: Information involving retirement, volunteer opportunities, housing, and adaptation to health changes Coverage of economics and aging, including information on social security and other retirement income and the future of Medicare and Medicaid Significant new information about the regulatory systems Revised and updated chapters on death and dying and optimal aging Discussions on two models of optimal aging and valuable tips for its promotion URLs to relevant websites for additional information

Meta Analysis

Author : Mike W.-L. Cheung
language : en
Publisher: John Wiley & Sons
Release Date : 2015-04-07

PDF Download Meta Analysis Books For free written by Mike W.-L. Cheung 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 2015-04-07 with Mathematics categories.

Presents a novel approach to conducting meta-analysis using structural equation modeling. Structural equation modeling (SEM) and meta-analysis are two powerful statistical methods in the educational, social, behavioral, and medical sciences. They are often treated as two unrelated topics in the literature. This book presents a unified framework on analyzing meta-analytic data within the SEM framework, and illustrates how to conduct meta-analysis using the metaSEM package in the R statistical environment. Meta-Analysis: A Structural Equation Modeling Approach begins by introducing the importance of SEM and meta-analysis in answering research questions. Key ideas in meta-analysis and SEM are briefly reviewed, and various meta-analytic models are then introduced and linked to the SEM framework. Fixed-, random-, and mixed-effects models in univariate and multivariate meta-analyses, three-level meta-analysis, and meta-analytic structural equation modeling, are introduced. Advanced topics, such as using restricted maximum likelihood estimation method and handling missing covariates, are also covered. Readers will learn a single framework to apply both meta-analysis and SEM. Examples in R and in Mplus are included. This book will be a valuable resource for statistical and academic researchers and graduate students carrying out meta-analyses, and will also be useful to researchers and statisticians using SEM in biostatistics. Basic knowledge of either SEM or meta-analysis will be helpful in understanding the materials in this book.