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Author: Howard S. Bloom Publisher: Russell Sage Foundation ISBN: 1610440692 Category : Social Science Languages : en Pages : 259
Book Description
Policy analysis has grown increasingly reliant on the random assignment experiment—a research method whereby participants are sorted by chance into either a program group that is subject to a government policy or program, or a control group that is not. Because the groups are randomly selected, they do not differ from one another systematically. Therefore any differences between the groups at the end of the study can be attributed solely to the influence of the program or policy. But there are many questions that randomized experiments have not been able to address. What component of a social policy made it successful? Did a given program fail because it was designed poorly or because it suffered from low participation rates? In Learning More from Social Experiments, editor Howard Bloom and a team of innovative social researchers profile advancements in the scientific underpinnings of social policy research that can improve randomized experimental studies. Using evaluations of actual social programs as examples, Learning More from Social Experiments makes the case that many of the limitations of random assignment studies can be overcome by combining data from these studies with statistical methods from other research designs. Carolyn Hill, James Riccio, and Bloom profile a new statistical model that allows researchers to pool data from multiple randomized-experiments in order to determine what characteristics of a program made it successful. Lisa Gennetian, Pamela Morris, Johannes Bos, and Bloom discuss how a statistical estimation procedure can be used with experimental data to single out the effects of a program's intermediate outcomes (e.g., how closely patients in a drug study adhere to the prescribed dosage) on its ultimate outcomes (the health effects of the drug). Sometimes, a social policy has its true effect on communities and not individuals, such as in neighborhood watch programs or public health initiatives. In these cases, researchers must randomly assign treatment to groups or clusters of individuals, but this technique raises different issues than do experiments that randomly assign individuals. Bloom evaluates the properties of cluster randomization, its relevance to different kinds of social programs, and the complications that arise from its use. He pays particular attention to the way in which the movement of individuals into and out of clusters over time complicates the design, execution, and interpretation of a study. Learning More from Social Experiments represents a substantial leap forward in the analysis of social policies. By supplementing theory with applied research examples, this important new book makes the case for enhancing the scope and relevance of social research by combining randomized experiments with non-experimental statistical methods, and it serves as a useful guide for researchers who wish to do so.
Author: Howard S. Bloom Publisher: Russell Sage Foundation ISBN: 1610440692 Category : Social Science Languages : en Pages : 259
Book Description
Policy analysis has grown increasingly reliant on the random assignment experiment—a research method whereby participants are sorted by chance into either a program group that is subject to a government policy or program, or a control group that is not. Because the groups are randomly selected, they do not differ from one another systematically. Therefore any differences between the groups at the end of the study can be attributed solely to the influence of the program or policy. But there are many questions that randomized experiments have not been able to address. What component of a social policy made it successful? Did a given program fail because it was designed poorly or because it suffered from low participation rates? In Learning More from Social Experiments, editor Howard Bloom and a team of innovative social researchers profile advancements in the scientific underpinnings of social policy research that can improve randomized experimental studies. Using evaluations of actual social programs as examples, Learning More from Social Experiments makes the case that many of the limitations of random assignment studies can be overcome by combining data from these studies with statistical methods from other research designs. Carolyn Hill, James Riccio, and Bloom profile a new statistical model that allows researchers to pool data from multiple randomized-experiments in order to determine what characteristics of a program made it successful. Lisa Gennetian, Pamela Morris, Johannes Bos, and Bloom discuss how a statistical estimation procedure can be used with experimental data to single out the effects of a program's intermediate outcomes (e.g., how closely patients in a drug study adhere to the prescribed dosage) on its ultimate outcomes (the health effects of the drug). Sometimes, a social policy has its true effect on communities and not individuals, such as in neighborhood watch programs or public health initiatives. In these cases, researchers must randomly assign treatment to groups or clusters of individuals, but this technique raises different issues than do experiments that randomly assign individuals. Bloom evaluates the properties of cluster randomization, its relevance to different kinds of social programs, and the complications that arise from its use. He pays particular attention to the way in which the movement of individuals into and out of clusters over time complicates the design, execution, and interpretation of a study. Learning More from Social Experiments represents a substantial leap forward in the analysis of social policies. By supplementing theory with applied research examples, this important new book makes the case for enhancing the scope and relevance of social research by combining randomized experiments with non-experimental statistical methods, and it serves as a useful guide for researchers who wish to do so.
Author: Muzafer Sherif Publisher: Wesleyan University Press ISBN: 0819569909 Category : Social Science Languages : en Pages : 264
Book Description
Originally issued in 1954 and updated in 1961 and 1987, this pioneering study of "small group" conflict and cooperation has long been out-of-print. It is now available, in cloth and paper, with a new introduction by Donald Campbell, and a new postscript by O.J. Harvey. In this famous experiment, one of the earliest in inter-group relationships, two dozen twelve-year-old boys in summer camp were formed into two groups, the Rattlers and the Eagles, and induced first to become militantly ethnocentric, then intensely cooperative. Friction and stereotyping were stimulated by a tug-of-war, by frustrations perceived to be caused by the "out" group, and by separation from the others. Harmony was stimulated by close contact between previously hostile groups and by the introduction of goals that neither group could meet alone. The experiment demonstrated that conflict and enmity between groups can be transformed into cooperation and vice versa and that circumstances, goals, and external manipulation can alter behavior. Some have seen the findings of the experiment as having implications for reduction of hostility among racial and ethnic groups and among nations, while recognizing the difficulty of control of larger groups.
Author: Dawn Langan Teele Publisher: Yale University Press ISBN: 0300199309 Category : Social Science Languages : en Pages : 279
Book Description
In recent years, social scientists have engaged in a deep debate over the methods appropriate to their research. Their long reliance on passive observational collection of information has been challenged by proponents of experimental methods designed to precisely infer causal effects through active intervention in the social world. Some scholars claim that field experiments represent a new gold standard and the best way forward, while others insist that these methods carry inherent inconsistencies, limitations, or ethical dilemmas that observational approaches do not. This unique collection of essays by the most influential figures on every side of this debate reveals its most important stakes and will provide useful guidance to students and scholars in many disciplines.
Author: R. Barker Bausell Publisher: SAGE Publications ISBN: 1452254680 Category : Social Science Languages : en Pages : 157
Book Description
There is no doubt that this book will be well received by those who are fortunate enough to come across it. This book will be of use to the growing number of people involved either as purchasers or providers of research. Don′t go to work without it! --Health Services Management Research Journal "I would recommend [this book] to a colleague as a useful companion text for students. I would say that this is an engaging discussion of experimental research for social, behavioral, and health science students. The writing style is fresh and entertaining, and draws the willing reader into thinking through the process of designing and conducting experimental research. It is not a ′cookbook′ or a compendium of facts. Rather, it is a pragmatic and thoughtful description intended to help students understand how to design meaningful experiments, and by understanding that, they will also understand how to interpret research they do not conduct themselves." --Katharyn A. May, School of Nursing, Vanderbilt University "This slim but packed volume is written for prospective researchers in the social and health sciences. The writing style is lively, encouraging, upbeat. R. Barker Bausell brings science down to earth without sacrificing respect for rigor and complexity. . . . Recommended for all institutions with undergraduate or graduate research requirements in the social and health sciences." --Choice Tired of research methods books that tell how to perform a research study without any mention of the why behind doing research? Aimed at communicating the excitement and responsibility of the research process, this remarkable volume enables you to evaluate beforehand whether a prospective research study has the potential to either improve the human condition, contribute to theory formation, or explain the etiology of a significant phenomenon rather than to produce just another "publishable" study. By emphasizing how to think about and strategize a research study, R. Barker Bausell shows you the important steps of a scientific study--from the formulation of the problem to the write-up of the results. Replete with illustrative examples drawn from the social, health, and behavioral sciences, this volume is a must for all serious researchers.
Author: Michael Luca Publisher: MIT Press ISBN: 0262542277 Category : Business & Economics Languages : en Pages : 229
Book Description
How tech companies like Google, Airbnb, StubHub, and Facebook learn from experiments in our data-driven world—an excellent primer on experimental and behavioral economics Have you logged into Facebook recently? Searched for something on Google? Chosen a movie on Netflix? If so, you've probably been an unwitting participant in a variety of experiments—also known as randomized controlled trials—designed to test the impact of different online experiences. Once an esoteric tool for academic research, the randomized controlled trial has gone mainstream. No tech company worth its salt (or its share price) would dare make major changes to its platform without first running experiments to understand how they would influence user behavior. In this book, Michael Luca and Max Bazerman explain the importance of experiments for decision making in a data-driven world. Luca and Bazerman describe the central role experiments play in the tech sector, drawing lessons and best practices from the experiences of such companies as StubHub, Alibaba, and Uber. Successful experiments can save companies money—eBay, for example, discovered how to cut $50 million from its yearly advertising budget—or bring to light something previously ignored, as when Airbnb was forced to confront rampant discrimination by its hosts. Moving beyond tech, Luca and Bazerman consider experimenting for the social good—different ways that governments are using experiments to influence or “nudge” behavior ranging from voter apathy to school absenteeism. Experiments, they argue, are part of any leader's toolkit. With this book, readers can become part of “the experimental revolution.”
Author: David Willer Publisher: Stanford University Press ISBN: 9780804752466 Category : Social Science Languages : en Pages : 184
Book Description
Ranging from abstract theory to practical design solutions, this book provides the reader with the understandings needed to design and run cutting edge experiments.
Author: Laura R. Peck Publisher: John Wiley & Sons ISBN: 1119348889 Category : Political Science Languages : en Pages : 144
Book Description
This issue considers social experiments in practice and how recent advances improve their value and potential applications. Although controversial, it is clear they are here to stay and are in fact increasing. With their greater abundance, experimental evaluations have stretched to address more diverse policy questions, no longer simply providing a treatment–control contrast but adding multiarm, multistage, and multidimensional (factorial) designs and analytic extensions to expose more about what works best for whom. Social experiments are also putting programs under the microscope when they are most ready for testing, enhancing the policy value of their findings. This volume provides new developments in all these areas from scholars instrumental to recent scientific advances. In some instances, established ideas are given new attention, connecting them to new opportunities to learn and inform policy. By all means, this issue aims to encourage stronger and more informative social experiments in the future. This is the 152nd issue in the New Directions for Evaluation series from Jossey-Bass. It is an official publication of the American Evaluation Association.
Author: Anol Bhattacherjee Publisher: CreateSpace ISBN: 9781475146127 Category : Science Languages : en Pages : 156
Book Description
This book is designed to introduce doctoral and graduate students to the process of conducting scientific research in the social sciences, business, education, public health, and related disciplines. It is a one-stop, comprehensive, and compact source for foundational concepts in behavioral research, and can serve as a stand-alone text or as a supplement to research readings in any doctoral seminar or research methods class. This book is currently used as a research text at universities on six continents and will shortly be available in nine different languages.
Author: Pertti Alasuutari Publisher: SAGE ISBN: 1473971268 Category : Social Science Languages : en Pages : 650
Book Description
The SAGE Handbook of Social Research Methods is a must for every social-science researcher. It charts the new and evolving terrain of social research methodology, covering qualitative, quantitative and mixed methods in one volume. The Handbook includes chapters on each phase of the research process: research design, methods of data collection, and the processes of analyzing and interpreting data. The volume maintains that there is much more to research than learning skills and techniques; methodology involves the fit between theory, research questions research design and analysis. The book also includes several chapters that describe historical and current directions in social research, debating crucial subjects such as qualitative versus quantitative paradigms, how to judge the credibility of types of research, and the increasingly topical issue of research ethics. The Handbook serves as an invaluable resource for approaching research with an open mind. This volume maps the field of social research methods using an approach that will prove valuable for both students and researchers.
Author: Howard S. Bloom
Author: Howard S. Bloom
Author: Muzafer Sherif
Author: Dawn Langan Teele
Author: Thad Dunning
Author: R. Barker Bausell
Author: Michael Luca
Author: David Willer
Author: Laura R. Peck
Author: Anol Bhattacherjee
Author: Pertti Alasuutari