Bibliographic Information

Meta-analysis for public management and policy

Evan J. Ringquist ; edited by Mary R. Anderson

Jossey-Bass, c2013

  • : pbk

Available at  / 3 libraries

Search this Book/Journal

Note

Includes bibliographical references and index

Description and Table of Contents

Description

Praise for Meta-Analysis for Public Management and Policy "In his usual rigorous but readable style, Evan Ringquist and co-author Mary Anderson have produced a tour-de-force on the topic of meta-analysis in public policy and management research. Meta-analysis is badly needed in the all-too-common situation when researchers have low confidence in summarizing the overall results of dozens of studies on the effectiveness of some policy. This book has a nice combination of conceptual overview, methodological details, and applications that will make it possible for researchers to conduct their own meta-analysis. It is tempting to require all graduate students to write a meta-analysis as a chapter in their dissertation, or include meta-analysis as a standard offering in the research methods curriculum of social science graduate programs. The more people that adopt Ringquist and Anderson's approach, the less resources will be wasted on conducting studies that do not contribute to cumulative scientific knowledge. " Mark Lubell Department of Environmental Science and Policy Director, Center for Environmental Policy and Behavior University of California-Davis Ringquist and his colleagues deliver value and add to canon of public management methods by delivering an analytical framework that makes the case for systematic research using the tools of meta-analysis. This book will be a must read for all committed to strengthening evidence-based research that improves public policy and management decision making. David M. Van Slyke The Maxwell School of Citizenship and Public Affairs Syracuse University In Meta-Analysis for Public Management and Policy Evan Ringquist and his colleagues provide a lucid and practical roadmap for policy and public management scholars who use meta-analysis in their research. But this is more than a how to volume; it provides background on why meta-analysis is a potent means for accumulating and synthesizing empirical research findings, and shows how its use has evolved in recent decades. Specific applications of meta-analysis to long-standing policy and management debates are given, essentially providing an array of developed templates through which scholars and practitioners can assess how to approach different kinds of analytical problems using meta-analysis. Particularly valuable to me is the careful development and presentation of the necessary stages of meta-analysis, from conceptualization through data coding and bias assessment to advanced modeling. All of the statistical analyses can be conducted in Stata, utilizing readily available .ado modules. I will use this book, both in research and in the classroom. Overall it is one of the most useful methodological contributions I ve seen in some time. Hank Jenkins-Smith Department of Political Science Director, Center for Applied Social Research University of Oklahoma Meta-Analysis for Public Management and Policy conveys the considerable untapped potential of meta-analysis to strengthen and advance bodies of knowledge and evidence in public management and policy. This book takes students and researchers deep into the methods of meta-analysis and details of their empirical application, without losing sight of the important policy questions and the implications of choices that researchers make in their empirical work for the production of evidence for public managers and policymakers. This book will serve as an excellent practical guide for those conducting their first meta-analysis, while at the same time supporting critically-focused consumption of existing meta-analyses and discussion of where the field can gainfully take this approach to enhance our research and knowledge bases. It draws in a range of valuable and important examples of applications of meta-analysis techniques throughout the book and rounds off with four full-fledged applications of the method. Although the book reaches out to an audience of public management and policy researchers and consumers of this research, it should be of interest to a broad range of applied social science researchers and students as well. Carolyn Heinrich Sid Richardson Professor of Public Affairs Director, Center for Health and Social Policy LBJ School of Public Affairs University of Texas Austin Even for incredibly specialized techniques, public management and policy scholars have a multiplicity of methods texts from which to choose. Yet it is truly surprising that a strong guide to applied meta-analysis a rigorous framework for the organization of empirical findings has not been available. Ringquist and Anderson provided just that with an accessible guide to sophisticated techniques. Marrying an instructive text to a set of exemplary standalone studies, Meta-Analysis for Public Management and Policy offers unparalleled guidance for instructors and students and more than a little wisdom for seasoned scholars. It is destined to become the standard reference for our field. Anthony Michael Bertelli CC Crawford Chair in Management and Performance USC Price School of Public Policy USC Gould School of Law University of Southern California This comprehensive treatment of meta-analysis is an excellent guide for scholars and students in public management and public policy. The carefully done exposition demonstrates why meta-analysis should have greater use in the profession. Kenneth J. Meier Charles H. Gregory Chair in Liberal Arts Department of Political Science Texas A&M University This remarkable book reviews the history of the use of meta-analysis in the social sciences, argues forcefully for its importance, value, and relevance for public managers, and provides one-stop-shopping for those who want to learn how to do it or understand how others have done it. The detailed coverage of each step in the process allows a student to learn the technique completely while fully understanding the logic and intellectual goals of the enterprise. Most importantly, the authors review techniques from a range of disciplines, drawing most of their positive suggestions from the field of medical statistics rather than the social sciences. The examples and applications, on the other hand, stem from the world of government and public policy. Four chapters provide new syntheses of research on individual policies using the techniques and practices introduced in the earlier chapters. The result is original research, a strong 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 these powerful ideas on their own. A very impressive and useful text. Frank R. Baumgartner Richard J. Richardson Distinguished Professor Department of Political Science University of North Carolina at Chapel Hill Meta-analysis is a valuable tool for accumulating knowledge about how management matters from across a range of policy areas and disciplines. It is also an underused tool, in large part because of the lack of a comprehensive and useable guide on the topic. Ringquist remedies this problem by offering clear instruction on how to apply the technique wisely, as well as highly useful empirical demonstrations. The field of public management needs this excellent book. Donald Moynihan Professor of Public Affairs University of Wisconsin-Madison Professors and students frequently face decisions about how 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 Policy support such a decision about meta-analysis by making a convincing case for its value and increasing utilization, including such steps as a careful consideration of criticisms of the method. Evan Ringquist then provides clearly, engagingly written chapters on the major concepts, procedures, and issues in the techniques of meta-analysis. His coauthors then provide effectively-presented examples of meta-analytic studies about such topics as school voucher effectiveness, public service motivation and performance, and public sector performance management. The accessible and reader-friendly explanations, coupled with the illustrative examples that walk the reader through how to do it, make this a distinctively effective methodological text. In so doing, it offers a distinctively valuable resource for those of us who want to learn more about this important statistical method. Hal Rainey Alumni Foundation Distinguished Professor Department of Public Administration and Policy University of Georgia James Heckman s Nobel lecture described the combined influence of micro surveys, advances in computers and software, and the development and dissemination of multivariate statistical methods on applied economic research. His comments apply equally well to empirical research throughout the social sciences. These forces have created a flood of numbers and advances in technology since he wrote about them have assured that the process is accelerating. We need to transform the ways we learn from empirical analyses and create a science for the analysis of the secondary data from applied statistical and econometric models. This science would include methods for summarizing what has been learned from estimates and tests. It would provide methods for diagnostic screening of results to gauge the importance of modeling assumptions and the types of primary data for the findings being reported. Finally, it may well lead to the development of meta-models integrating findings intended to describe a single system but viewed thru distinctive empirical lenses. Meta-analysis is a method that takes an important step in developing this science. It is a collection of methods that is a product of the transformation in applied research in the past half century. Initially much of this research was the domain of social scientists working on the evaluation of educational interventions. In these applications the primary data from different studies were routinely available, but the outcome and control variables differed across studies. As a result, the focus for these meta-analyses was on data combination with multiple, distinctive measures for asset of latent variables associated with the hypothesized underlying process. The texts describing meta-analysis focused on these situations. As applications of meta-analysis expanded to economics, political science, and sociology, the data structures changed. The new data came from empirical models as estimated parameters or summaries of test results. The challenges posed in developing these types of data and understanding what they reveal were distinctly different. A text developed by scholars who appreciate how these types of summaries are different was missing until Ringquist and Anderson s Meta Analysis for Public Management and Policy. Explaining a process that blends the best of qualitative and quantitative research is a challenge. This book has met this challenge and delivered researchers a great platform for teaching these methods to their students and for updating their own skills. At least four features distinguish this book: 1. The authors display a clear understanding of the strengths and the weaknesses of meta- analysis. Their treatment describes how care in data construction, variable coding, relevant statistical methods and, especially, careful attention to interpreting the findings from a meta-analysis can reinforce the strengths and mitigate the weaknesses. 2. There are real examples presented throughout the book along with a genuine understanding of the importance of the details in developing meta-analyses. 3. The coverage of relevant statistical methods is comprehensive and clear. And 4. The Appendices offer the detail researchers need to see in order to genuinely learn how to use meta analytic methods. It should be in the library of every serious teacher or practitioner V. Kerry Smith Regents Professor and W.P. Carey Professor Department of Economics Arizona State University There are several texts for meta-analysis available, most notably The Handbook of Research Synthesis and Meta-Analysis by Cooper, Hedges and Valentine, but none specifically directed to public administration and policy scholars. In fact the points of emphasis and examples make the existing texts both difficult and poorly suited for the applied social sciences. Ringquist s book is a spectacular success in filling this lacuna. Ringquist provides a clearer encapsulation of the basics in its opening section, and the basics are tailored to problem-oriented policy sciences (noting for instance, that meta-analyses in public management and policy will almost always use random-effects over fixed-effects). The empirical examples woven throughout as well as the actual analyses on PSM and school vouchers are exceptionally useful in identifying the stages of the process. At the same time, the book doesn t spare the gritty details of confronting commonly required procedures, like bootstrapping and dealing with clustered robust SE, hierarchical modeling, etc. For readers with no exposure to meta-analysis, the text eases the transition by offering a refresher on how statistical techniques are used in original research, then how they differ when used in meta-analysis. Ringquist offers guidelines for syntheses, formulating problems, data evaluation, turning studies into data, techniques in meta-analysis, the language of meta-analysis , coding strategies and publication bias. The author also notes that the context and even techniques of meta-analysis are different for public management and public policy compared with medicine and psychology, and education. Public administration and policy analysis provide great opportunities for meta-analysis, but these fields also present considerable challenge. Great care is needed in synthesizing differently designed studies, which are observational and quasi-experimental or correlational designs, because the statistics of meta-analysis were originally developed to synthesize results from experiment design. Measurement issues are tricky because authentic scales are used less frequently than in psychology or medical research. In addition PA and policy as fields of scholarship are diverse and eclectic in research design which makes comparison of parameter estimates exceedingly difficult. Ringquist adroitly compiles an approach to meta-analysis adapted to reflect this context. While Section 1 consists of seven chapters, which discusses techniques of meta-analysis, Section 2 including Chapters 8, 9, 10 and 11 illustrates actual studies using meta-analysis conducted in public management and policy research: evaluating the effectiveness of educational vouchers, performance management in public sector, the effects of federal poverty deconcentration efforts on economic self-sufficiency and problematic behaviors, and the relationship between public service motivation and performance. The book is an easier read than other texts in it guides from project inception through lit review and analysis in a manner tailored to policy and management, and it actually provides a much more accessible and thorough coverage of many of the basic building blocks, 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 management suggestions (creating a command file for data set transformations, for instance) is a great advantage for this text. Adding an addendum with R programming options, in the next edition might be helpful too. The conclusion both compelling and concise but I would like to have seen some of the arguments presented here at the beginning of the book, reserving the conclusion for a fuller encapsulation of what the overall strategy of the book accomplishes in stages rebutting criticisms that meta-analysis in social science is a waste of time because study estimates are non-comparable and effect sizes non-independent with careful examination of research design and models. This book is essential reading for any scholar in public administration and policy considering undertaking meta-analysis. I expect it will gain many readers in other social science disciplines as well. For serious users of meta-analysis Ringquist s book will not be the only one on the shelf, but it is a valuable addition. Richard Feiock Augustus B. Turnbull Professor Askew School of Public Administration and Policy Florida State University

Table of Contents

Figures, Tables, and Exhibit ix Preface xv The Authors xxi Introducing: Meta-Analysis for Public Management and Policy 1 Evan J. Ringquist and Mary R. Anderson Introducing Meta-Analysis 4 The Institutionalization of Meta-Analysis 5 A Role for Meta-Analysis in Public Management and Policy 9 Meta-Analysis: Understanding the Basics 17 Adapting Meta-Analysis for Public Management and Policy 31 Conclusion 34 PART ONE: TECHNIQUES OF META-ANALYSIS 37 1 Conceptualizing Research and Gathering Studies 39 Evan J. Ringquist Conceptualizing a Meta-Analysis 40 Conducting a Literature Search in Meta-Analysis 50 Conclusion 66 2 Turning Studies into Data 68 Evan J. Ringquist What to Code 70 The Process of Coding 85 Conclusion 97 3 Calculating and Combining Effect Sizes 102 Evan J. Ringquist Calculating Effect Sizes 103 Fixed Effects and Random Effects Meta-Analysis 118 Combining Effect Sizes 124 Conclusion 137 4 Meta-Regression Analysis 141 Evan J. Ringquist Historical Development of Meta-Regression 142 Designing a Meta-Regression 144 Fixed Effects Meta-Regression 151 Random EffectsMeta-Regression 171 Conclusion 189 5 Advanced Meta-Regression for Public Management and Policy 191 Evan J. Ringquist Clustered Robust Estimation in Meta-Regression 193 Alternatives for Addressing Dependence in Meta-Regression 207 Conclusion 229 6 PublicationBias 231 Evan J. Ringquist Sources and Consequences of Publication Bias 232 Identifying Publication Bias 238 Remedying and Preventing Publication Bias 253 Conclusion 266 7 Meta-Analysis in Economics 268 Evan J. Ringquist The FAT-MST-PET-MRA Approach to Meta-Regression 269 Assessing the FAT as a Test for Publication Bias 272 Identifying True Effects Using the MST 291 Estimating the Magnitude of True Effects Using the PET 292 Conclusion 307 PART TWO: META-ANALYSIS IN PUBLIC MANAGEMENT AND POLICY RESEARCH 309 8 Evaluating the Effectiveness of Educational Vouchers 311 Mary R. Anderson, Tatyana Guzman and Evan J. Ringquist School Choice and Educational Vouchers 312 The Effectiveness of Educational Vouchers 318 Designing a Meta-Analysis of Voucher Effects 324 Searching the Literature 331 Data Analysis: Synthesis 335 Meta-Regression Analysis 339 Conclusion 348 Studies Coded for Meta-Analysis 349 9 Performance Management in the Public Sector 352 Ed Gerrish and Po-Ju Wu Origin of Performance Management 354 Performance Management in the Literature 359 Literature Search 368 Data Analysis: Synthesis 372 Meta-Analytic Regression Analysis 379 Conclusion 390 Studies Coded for Meta-Analysis 393 Addendum: StratifiedMeta-Regression of Compstat and Compstat-Like Programs 394 10 The Effects of Federal Poverty Deconcentration Efforts on Economic Self-Sufficiency and Problematic Behaviors 398 Joe Bolinger and Lanlan Xu History of Poverty Deconcentration Programs in the United States 399 Theoretical Foundations of Poverty Deconcentration Policies 402 Impacts of Poverty Deconcentration Policies on Individual Economic and Behavioral Life Outcomes 408 Literature Search 413 Analysis 416 Meta-Regression Analysis 426 Conclusion 436 Studies Coded for Meta-Analysis 439 11 The Relationship Between Public Service Motivation and Performance 442 David C. Warren and Li-Ting Chen The Importance of a Possible PSM-Performance Relationship 443 Theoretical Foundations of the PSM-Performance Relationship 444 Framing the Meta-Analysis of the PSM-Performance Relationship 447 Data Analysis 455 Meta-Regression Analysis 462 Conclusion 468 Studies Coded for Meta-Analysis 473 Conclusion: Meta-Analysis and the Future of Research in Public Management and Policy 475 Mary R. Anderson and Evan J. Ringquist Why Meta-Analysis? 478 Why Meta-Analysis Now? 480 Meta-Analysis for Public Management and Policy: An Adaptation 481 A World of Possibilities: The Future of Meta-Analysis in Public Management and Policy 484 Appendix: Coding Sheets 487 A1: School Vouchers 488 A2: Performance Management 494 A3: Public Housing 502 A4: Public Service Motivation 508 References 514 Name Index 543 Subject Index 549

by "Nielsen BookData"

Details

Page Top