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Author: Lex Donaldson
Publisher: Routledge
ISBN: 1317455819
Category : Business & Economics
Languages : en
Pages : 292
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Book Description
The Meta-Analytic Organization: Introducing Statistico-Organizational Theory develops new organizational theory based upon ideas from statistics and methodology. There have been previous organizational theories based on academic disciplines such as biology, economics, and sociology. Statistico-organizational theory uniquely constructs a new organizational theory derived from ideas in statistics and psychometrics. The core idea is that errors known to occur in social science research must also occur when managers look at their data and seek to make inferences about cause and effect. Statistico-organizational theory uses methodological principles to predict when errors will occur and how great they will be. The book offers new theoretical propositions about organizational strategy and structure, human resource management, international business and franchising.
Author: Lex Donaldson
Publisher: Routledge
ISBN: 1317455819
Category : Business & Economics
Languages : en
Pages : 292
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Book Description
The Meta-Analytic Organization: Introducing Statistico-Organizational Theory develops new organizational theory based upon ideas from statistics and methodology. There have been previous organizational theories based on academic disciplines such as biology, economics, and sociology. Statistico-organizational theory uniquely constructs a new organizational theory derived from ideas in statistics and psychometrics. The core idea is that errors known to occur in social science research must also occur when managers look at their data and seek to make inferences about cause and effect. Statistico-organizational theory uses methodological principles to predict when errors will occur and how great they will be. The book offers new theoretical propositions about organizational strategy and structure, human resource management, international business and franchising.
Author: John Edward Hunter
Publisher: SAGE Publications, Incorporated
ISBN:
Category : Business & Economics
Languages : en
Pages : 184
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Book Description
"There are few areas of modern life that are burdened by as much information and advice, often contradictory, as our diet and health: eat a lot of meat, eat no meat; whole-grains are healthy, whole-grains are a disaster; eat everything in moderation; eat only certain foods--and on and on. In One Hundred Million Years of Food biological anthropologist Stephen Le explains how cuisines of different cultures are a result of centuries of evolution, finely tuned to our biology and surroundings. Today many cultures have strayed from their ancestral diets, relying instead on mass-produced food often made with chemicals that may be contributing to a rise in so-called "Western diseases, " such as cancer, heart disease, and obesity. Travelling around the world to places as far-flung as Vietnam, Kenya, India, and the US, Stephen Le introduces us to people who are growing, cooking, and eating food using both traditional and modern methods, striving for a sustainable, healthy diet. In clear, compelling arguments based on scientific research, Le contends that our ancestral diets provide the best first line of defense in protecting our health and providing a balanced diet. Fast-food diets, as well as strict regimens like paleo or vegan, in effect highjack our biology and ignore the complex nature of our bodies. In One Hundred Million Years of Food Le takes us on a guided tour of evolution, demonstrating how our diets are the result of millions of years of history, and how we can return to a sustainable, healthier way of eating."--Publisher's description.
Author: Julian P. T. Higgins
Publisher: Wiley
ISBN: 9780470699515
Category : Medical
Languages : en
Pages : 672
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Book Description
Healthcare providers, consumers, researchers and policy makers are inundated with unmanageable amounts of information, including evidence from healthcare research. It has become impossible for all to have the time and resources to find, appraise and interpret this evidence and incorporate it into healthcare decisions. Cochrane Reviews respond to this challenge by identifying, appraising and synthesizing research-based evidence and presenting it in a standardized format, published in The Cochrane Library (www.thecochranelibrary.com). The Cochrane Handbook for Systematic Reviews of Interventions contains methodological guidance for the preparation and maintenance of Cochrane intervention reviews. Written in a clear and accessible format, it is the essential manual for all those preparing, maintaining and reading Cochrane reviews. Many of the principles and methods described here are appropriate for systematic reviews applied to other types of research and to systematic reviews of interventions undertaken by others. It is hoped therefore that this book will be invaluable to all those who want to understand the role of systematic reviews, critically appraise published reviews or perform reviews themselves.
Author: Michael Borenstein
Publisher: John Wiley & Sons
ISBN: 1119964377
Category : Medical
Languages : en
Pages : 350
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Book Description
This book provides a clear and thorough introduction to meta-analysis, the process of synthesizing data from a series of separate studies. Meta-analysis has become a critically important tool in fields as diverse as medicine, pharmacology, epidemiology, education, psychology, business, and ecology. Introduction to Meta-Analysis: Outlines the role of meta-analysis in the research process Shows how to compute effects sizes and treatment effects Explains the fixed-effect and random-effects models for synthesizing data Demonstrates how to assess and interpret variation in effect size across studies Clarifies concepts using text and figures, followed by formulas and examples Explains how to avoid common mistakes in meta-analysis Discusses controversies in meta-analysis Features a web site with additional material and exercises A superb combination of lucid prose and informative graphics, written by four of the world’s leading experts on all aspects of meta-analysis. Borenstein, Hedges, Higgins, and Rothstein provide a refreshing departure from cookbook approaches with their clear explanations of the what and why of meta-analysis. The book is ideal as a course textbook or for self-study. My students, who used pre-publication versions of some of the chapters, raved about the clarity of the explanations and examples. David Rindskopf, Distinguished Professor of Educational Psychology, City University of New York, Graduate School and University Center, & Editor of the Journal of Educational and Behavioral Statistics. The approach taken by Introduction to Meta-analysis is intended to be primarily conceptual, and it is amazingly successful at achieving that goal. The reader can comfortably skip the formulas and still understand their application and underlying motivation. For the more statistically sophisticated reader, the relevant formulas and worked examples provide a superb practical guide to performing a meta-analysis. The book provides an eclectic mix of examples from education, social science, biomedical studies, and even ecology. For anyone considering leading a course in meta-analysis, or pursuing self-directed study, Introduction to Meta-analysis would be a clear first choice. Jesse A. Berlin, ScD Introduction to Meta-Analysis is an excellent resource for novices and experts alike. The book provides a clear and comprehensive presentation of all basic and most advanced approaches to meta-analysis. This book will be referenced for decades. Michael A. McDaniel, Professor of Human Resources and Organizational Behavior, Virginia Commonwealth University
Author: Noel A. Card
Publisher: Guilford Publications
ISBN: 1462525008
Category : Psychology
Languages : en
Pages : 401
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Book Description
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
Author: Robert Rosenthal
Publisher: SAGE
ISBN: 9780803942462
Category : Medical
Languages : en
Pages : 172
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Book Description
Considers meta-analytic procedures (the quantitative summary of a research domain) in sufficient detail for readers either to carry them out for themselves, or evaluate the procedures when used by others and offers advice about the applicability of these techniques to specific research questions.
Author: Frank L. Schmidt
Publisher: SAGE Publications
ISBN: 1483324516
Category : Social Science
Languages : en
Pages : 672
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Book Description
Designed to provide researchers clear and informative insight into techniques of meta-analysis, the Third Edition of Methods of Meta-Analysis: Correcting Error and Bias in Research Findings is the most comprehensive text on meta-analysis available today. It is the only book that presents a full and usable treatment of the role of study artifacts in distorting study results, as well as methods for correcting results for such biases and errors. Meta-analysis is arguably the most important methodological innovation in the last thirty-five years, due to its immense impact on the development of cumulative knowledge and professional practice. This text, now in its updated Third Edition, has been revised to cover the newest developments in meta-analysis methods, evaluation, correction, and more. This reader-friendly book is the definitive resource on meta-analysis.
Author: Evan Ringquist
Publisher: John Wiley & Sons
ISBN: 1118240499
Category : Business & Economics
Languages : en
Pages : 590
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Book 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
Author: Engin Karadağ
Publisher: Springer
ISBN: 9783319366173
Category : Business & Economics
Languages : en
Pages : 0
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Book Description
This book focuses on the effect of leadership on organizational outcomes and summarizes the current research findings in the field. It addresses the need for inclusive and interpretive studies in the field in order to interpret leadership literature and suggest new pathways for further studies. Appropriately, a meta-analysis approach is used by the contributors to show the big picture to the researchers by analyzing and combining the findings from different independent studies. In particular, the editors compile various studies examining the relationship between the leadership and thirteen organizational outcomes separately. The philosophy behind this book is to direct future research and practices rather than addressing the limits of current studies.
Author: Mike W.-L. Cheung
Publisher: John Wiley & Sons
ISBN: 1119993431
Category : Mathematics
Languages : en
Pages : 402
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Book Description
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.
