Applied Meta-Analysis for Social Science Research

Author: Noel A. Card

Publisher: Guilford Publications

ISBN: 1462525008

Category: Psychology

Page: 377

View: 6477

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 The author shows how to identify questions that can be answered using meta-analysis, retrieve both published and unpublished studies, create a coding manual, use traditional and unique effect size indices, and write a meta-analytic review.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

Health, Illness, and Optimal Aging, Second Edition

Biological and Psychosocial Perspectives

Author: Carolyn M. Aldwin, Ph.D.,Diane Fox Gilmer, Ph.D.

Publisher: Springer Publishing Company

ISBN: 0826193471

Category: Social Science

Page: 416

View: 2751

"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

Research Synthesis and Meta-Analysis

A Step-by-Step Approach

Author: Harris Cooper

Publisher: SAGE

ISBN: 1412937051

Category: Social Science

Page: 269

View: 8932

Providing researchers with a practical and accessible advice, the Fourth Edition of the lauded Research Synthesis and Meta-Analysis offers thoroughly updated information. Author Harris M. Cooper draws on more than 30 years of experience to show readers how to conduct a comprehensive synthesis of past research.

Handbook of Developmental Research Methods

Author: Brett Laursen,Todd D. Little,Noel A. Card

Publisher: Guilford Press

ISBN: 1609189515

Category: Social Science

Page: 788

View: 8363

Appropriate for use in developmental research methods or analysis of change courses, this is the first methods handbook specifically designed to meet the needs of those studying development. Leading developmental methodologists present cutting-edge analytic tools and describe how and when to use them, in accessible, nontechnical language. They also provide valuable guidance for strengthening developmental research with designs that anticipate potential sources of bias. Throughout the chapters, research examples demonstrate the procedures in action and give readers a better understanding of how to match research questions to developmental methods. The companion website (www.guilford.com/laursen-materials) supplies data and program syntax files for many of the chapter examples.

Methods of meta-analysis

correcting error and bias in research findings

Author: John Edward Hunter,Frank L. Schmidt

Publisher: Sage Publications, Inc

ISBN: N.A

Category: Social Science

Page: 592

View: 9918

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.

Handbook of Applied Social Research Methods

Author: Professor Leonard Bickman,Leonard Bickman,Debra J. Rog,Rog Debra J,MS Debra J Rog

Publisher: SAGE

ISBN: 9780761906728

Category: Social Science

Page: 580

View: 1773

The Handbook of Applied Social Research Methods shows how to make intelligent and conscious decisions so that researchers can refine and hone their research questions as new knowledge is gained, unanticipated obstacles are encountered, or contextual shifts take place - all key elements in the iterative nature of applied research. With examples and illustrations from the authors' own experiences, this book gives readers a practical guide to conducting applied research.

Meta-analysis

New Developments and Applications in Medical and Social Sciences

Author: Ralf Schulze,Heinz Holling,Dankmar Böhning

Publisher: Cambridge, MA ; Toronto : Hogrefe & Huber

ISBN: 9780889372665

Category: Mathematics

Page: 272

View: 1459

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

The SAGE Handbook of Applied Social Research Methods

Author: Leonard Bickman,MS Debra J Rog

Publisher: SAGE

ISBN: 1412950317

Category: Social Science

Page: 661

View: 1170

The SAGE Handbook of Applied Social Research Methods, Second Edition provides students and researchers with the most comprehensive resource covering core methods, research designs, and data collection, management, and analysis issues. This thoroughly revised edition continues to place critical emphasis on finding the tools that best fit the research question given the constraints of deadlines, budget, and available staff. Each chapter offers key guidance on how to make intelligent and conscious tradeoffs so that one can refine and hone the research question as new knowledge is gained, unanticipated obstacles are encountered, or contextual shifts take place - all key elements in the iterative nature of applied research. Each chapter has been enhanced pedagogically to include more step-by-step procedures, specific, rich yet practical examples from various settings to illustrate the method, parameters to define when the method is most appropriate and when it is not appropriate, and greater use of visual aids (graphs, models, tip boxes) to provide teaching and learning tools. - twenty core chapters written by research experts that cover major methods and data analysis issues across the social and behavioral sciences, education, and management; - emphasis on applying research techniques, particularly in "real-world" settings in which there are various data, money, time, and political constraints; - new chapters on mixed methods, qualitative comparative analysis, concept mapping, and internet data collection; - a newly developed section that serves as a guide for students who are navigating through the book and attempting to translate the chapters into action; - a new Instructor's Resources CD, with relevant journal articles, test questions, and exercises to aid the instructor in developing appropriate course materials.

Nonresponse in Social Science Surveys

A Research Agenda

Author: National Research Council,Division of Behavioral and Social Sciences and Education,Committee on National Statistics,Panel on a Research Agenda for the Future of Social Science Data Collection

Publisher: National Academies Press

ISBN: 0309272475

Category: Social Science

Page: 166

View: 6541

For many household surveys in the United States, responses rates have been steadily declining for at least the past two decades. A similar decline in survey response can be observed in all wealthy countries. Efforts to raise response rates have used such strategies as monetary incentives or repeated attempts to contact sample members and obtain completed interviews, but these strategies increase the costs of surveys. This review addresses the core issues regarding survey nonresponse. It considers why response rates are declining and what that means for the accuracy of survey results. These trends are of particular concern for the social science community, which is heavily invested in obtaining information from household surveys. The evidence to date makes it apparent that current trends in nonresponse, if not arrested, threaten to undermine the potential of household surveys to elicit information that assists in understanding social and economic issues. The trends also threaten to weaken the validity of inferences drawn from estimates based on those surveys. High nonresponse rates create the potential or risk for bias in estimates and affect survey design, data collection, estimation, and analysis. The survey community is painfully aware of these trends and has responded aggressively to these threats. The interview modes employed by surveys in the public and private sectors have proliferated as new technologies and methods have emerged and matured. To the traditional trio of mail, telephone, and face-to-face surveys have been added interactive voice response (IVR), audio computer-assisted self-interviewing (ACASI), web surveys, and a number of hybrid methods. Similarly, a growing research agenda has emerged in the past decade or so focused on seeking solutions to various aspects of the problem of survey nonresponse; the potential solutions that have been considered range from better training and deployment of interviewers to more use of incentives, better use of the information collected in the data collection, and increased use of auxiliary information from other sources in survey design and data collection. Nonresponse in Social Science Surveys: A Research Agenda also documents the increased use of information collected in the survey process in nonresponse adjustment.

Applied Multiple Regression/Correlation Analysis for the Behavioral Sciences

Author: Patricia Cohen,Stephen G. West,Leona S. Aiken

Publisher: Psychology Press

ISBN: 1135468257

Category: Psychology

Page: 545

View: 6402

This classic text on multiple regression is noted for its nonmathematical, applied, and data-analytic approach. Readers profit from its verbal-conceptual exposition and frequent use of examples. The applied emphasis provides clear illustrations of the principles and provides worked examples of the types of applications that are possible. Researchers learn how to specify regression models that directly address their research questions. An overview of the fundamental ideas of multiple regression and a review of bivariate correlation and regression and other elementary statistical concepts provide a strong foundation for understanding the rest of the text. The third edition features an increased emphasis on graphics and the use of confidence intervals and effect size measures, and an accompanying CD with data for most of the numerical examples along with the computer code for SPSS, SAS, and SYSTAT. Applied Multiple Regression serves as both a textbook for graduate students and as a reference tool for researchers in psychology, education, health sciences, communications, business, sociology, political science, anthropology, and economics. An introductory knowledge of statistics is required. Self-standing chapters minimize the need for researchers to refer to previous chapters.

The Handbook of Social Work Research Methods

Author: Bruce Thyer

Publisher: SAGE

ISBN: 1452278881

Category: Social Science

Page: 672

View: 2033

Click on the Supplements tab above for further details on the different versions of SPSS programs. The canonical Handbook is completely updated with more student-friendly features The Handbook of Social Work Research Methods is a cutting-edge volume that covers all the major topics that are relevant for Social Work Research methods. Edited by Bruce Thyer and containing contributions by leading authorities, this Handbook covers both qualitative and quantitative approaches as well as a section that delves into more general issues such as evidence based practice, ethics, gender, ethnicity, International Issues, integrating both approaches, and applying for grants. New to this Edition More content on qualitative methods and mixed methods More coverage of evidence-based practice More support to help students effectively use the Internet A companion Web site at www.sagepub.com/thyerhdbk2e containing a test bank and PowerPoint slides for instructors and relevant SAGE journal articles for students. This Handbook serves as a primary text in the methods courses in MSW programs and doctoral level programs. It can also be used as a reference and research design tool for anyone doing scholarly research in social work or human services.

Methods of Meta-Analysis

Correcting Error and Bias in Research Findings

Author: John E Hunter,Frank L. Schmidt

Publisher: SAGE

ISBN: 1412909120

Category: Social Science

Page: 582

View: 1080

Covering the most important developments in meta-analysis from 1990 to 2004, this text presents new patterns in research findings as well as updated information on existing topics.

Meta-Analysis

Quantitative Methods for Research Synthesis

Author: Fredric Marc Wolf,Fredric M. Wolf

Publisher: SAGE

ISBN: 9780803927568

Category: Medical

Page: 65

View: 5031

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.

Meta-Analysis of Controlled Clinical Trials

Author: Anne Whitehead

Publisher: John Wiley & Sons

ISBN: 0470854197

Category: Mathematics

Page: 352

View: 2083

Over the last twenty years there has been a dramatic upsurge in the application of meta-analysis to medical research. This has mainly been due to greater emphasis on evidence-based medicine and the need for reliable summaries of the vast and expanding volume of clinical research. At the same time there have been great strides in the development and refinement of the associated statistical methodology. This book describes the planning, conduct and reporting of a meta-analysis as applied to a series of randomized controlled clinical trials. * The various approaches are presented within a general unified framework. * Meta-analysis techniques are described in detail, from their theoretical development through to practical implementation. * Each topic discussed is supported by detailed worked examples. * A comparison of fixed and random effects approaches is included, as well as a discussion of Bayesian methods and cumulative meta-analysis. * Fully documented programs using standard statistical procedures in SAS are available on the Web. Ideally suited for practising statisticians and statistically-minded medical professionals, the book will also be of use to graduate students of medical statistics. The book is a self-contained and comprehensive account of the subject and an essential purchase for anyone involved in clinical trials.

The SAGE Handbook of Quantitative Methods in Psychology

Author: Roger E Millsap,Alberto Maydeu-Olivares

Publisher: SAGE

ISBN: 144620667X

Category: Psychology

Page: 800

View: 6319

`I often... wonder to myself whether the field needs another book, handbook, or encyclopedia on this topic. In this case I think that the answer is truly yes. The handbook is well focused on important issues in the field, and the chapters are written by recognized authorities in their fields. The book should appeal to anyone who wants an understanding of important topics that frequently go uncovered in graduate education in psychology' - David C Howell, Professor Emeritus, University of Vermont Quantitative psychology is arguably one of the oldest disciplines within the field of psychology and nearly all psychologists are exposed to quantitative psychology in some form. While textbooks in statistics, research methods and psychological measurement exist, none offer a unified treatment of quantitative psychology. The SAGE Handbook of Quantitative Methods in Psychology does just that. Each chapter covers a methodological topic with equal attention paid to established theory and the challenges facing methodologists as they address new research questions using that particular methodology. The reader will come away from each chapter with a greater understanding of the methodology being addressed as well as an understanding of the directions for future developments within that methodological area. Drawing on a global scholarship, the Handbook is divided into seven parts: Part One: Design and Inference: addresses issues in the inference of causal relations from experimental and non-experimental research, along with the design of true experiments and quasi-experiments, and the problem of missing data due to various influences such as attrition or non-compliance. Part Two: Measurement Theory: begins with a chapter on classical test theory, followed by the common factor analysis model as a model for psychological measurement. The models for continuous latent variables in item-response theory are covered next, followed by a chapter on discrete latent variable models as represented in latent class analysis. Part Three: Scaling Methods: covers metric and non-metric scaling methods as developed in multidimensional scaling, followed by consideration of the scaling of discrete measures as found in dual scaling and correspondence analysis. Models for preference data such as those found in random utility theory are covered next. Part Four: Data Analysis: includes chapters on regression models, categorical data analysis, multilevel or hierarchical models, resampling methods, robust data analysis, meta-analysis, Bayesian data analysis, and cluster analysis. Part Five: Structural Equation Models: addresses topics in general structural equation modeling, nonlinear structural equation models, mixture models, and multilevel structural equation models. Part Six: Longitudinal Models: covers the analysis of longitudinal data via mixed modeling, time series analysis and event history analysis. Part Seven: Specialized Models: covers specific topics including the analysis of neuro-imaging data and functional data-analysis.

Evidence and Evaluation in Social Policy

Author: Ian Greener,Bent Greve

Publisher: John Wiley & Sons

ISBN: 111881651X

Category: Political Science

Page: 160

View: 750

By examining the role of evidence in social policymaking and the extent of its influence, Evidence and Evaluation in Social Policy delves deeply into one of the central questions of the field for the last 20 years. Chronicles the trend towards evidence-based policy over the last decade Assesses the ways in which scarce resources can best be used for the best care, particularly in times of austerity Describes methodological innovation, the ways in which researchers and politicians are working together effectively, and suggestions for future improvement Covers topics such as the role of randomized controlled trials in shaping public policy; the pitfalls of evidence-based policy as a prescriptive ideal; the challenges of measuring public support for policy interventions; and the benefits of engaging local government decision-makers with evaluation research

Meta-Analysis for Public Management and Policy

Author: Evan Ringquist

Publisher: John Wiley & Sons

ISBN: 1118227654

Category: Business & Economics

Page: 592

View: 8904

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

Best Practices in Quantitative Methods

Author: Jason W. Osborne

Publisher: SAGE

ISBN: 1412940656

Category: Social Science

Page: 596

View: 7690

The contributors to Best Practices in Quantitative Methods envision quantitative methods in the 21st century, identify the best practices, and, where possible, demonstrate the superiority of their recommendations empirically. Editor Jason W. Osborne designed this book with the goal of providing readers with the most effective, evidence-based, modern quantitative methods and quantitative data analysis across the social and behavioral sciences. The text is divided into five main sections covering select best practices in Measurement, Research Design, Basics of Data Analysis, Quantitative Methods, and Advanced Quantitative Methods. Each chapter contains a current and expansive review of the literature, a case for best practices in terms of method, outcomes, inferences, etc., and broad-ranging examples along with any empirical evidence to show why certain techniques are better. Key Features: Describes important implicit knowledge to readers: The chapters in this volume explain the important details of seemingly mundane aspects of quantitative research, making them accessible to readers and demonstrating why it is important to pay attention to these details. Compares and contrasts analytic techniques: The book examines instances where there are multiple options for doing things, and make recommendations as to what is the "best" choice—or choices, as what is best often depends on the circumstances. Offers new procedures to update and explicate traditional techniques: The featured scholars present and explain new options for data analysis, discussing the advantages and disadvantages of the new procedures in depth, describing how to perform them, and demonstrating their use. Intended Audience: Representing the vanguard of research methods for the 21st century, this book is an invaluable resource for graduate students and researchers who want a comprehensive, authoritative resource for practical and sound advice from leading experts in quantitative methods.

Social Prevention and the Social Sciences

Theoretical Controversies, Research Problems, and Evaluation Strategies

Author: Günter Albrecht,Hans-Uwe Otto

Publisher: Walter de Gruyter

ISBN: 3110864320

Category: Social Science

Page: 650

View: 6661

Replication research in the social sciences

Author: James William Neuliep

Publisher: Sage Publications, Inc

ISBN: 9780803940918

Category: Education

Page: 517

View: 7116

This book is essential reading for anyone conducting research in the social and behavioural sciences. No other volume offers researchers such concise and authoritative information on replication and its importance in the furtherance of knowledge. The 36 chapters include discussions on replication in behavioural research, editorial bias against replication research, and the replication process in social research.