Once primarily used in medical clinical trials, random assignment experimentation is now accepted among social scientists across a broad range of disciplines. The technique has been used in social experiments to evaluate a variety of programs, from microfinance and welfare reform to housing vouchers and teaching methods. How did randomized experiments move beyond medicine and into the social sciences, and can they be used effectively to evaluate complex social problems? Fighting for Reliable Evidence provides an absorbing historical account of the characters and controversies that have propelled the wider use of random assignment in social policy research over the past forty years. Drawing from their extensive experience evaluating welfare reform programs, noted scholar practitioners Judith M. Gueron and Howard Rolston portray randomized experiments as a vital research tool to assess the impact of social policy. In a random assignment experiment, participants are sorted into either a treatment group that participates in a particular program, or a control group that does not. Because the groups are randomly selected, they do not differ from one another systematically. Therefore any subsequent differences between the groups can be attributed to the influence of the program or policy. The theory is elegant and persuasive, but many scholars worry that such an experiment is too difficult or expensive to implement in the real world. Can a control group be truly insulated from the treatment policy? Would staffers comply with the random allocation of participants? Would the findings matter? Fighting for Reliable Evidence recounts the experiments that helped answer these questions, starting with the income maintenance experiments and the Supported Work project in the 1960s and 1970s. Gueron and Rolston argue that a crucial turning point came during the 1980s, when Congress allowed states to experiment with welfare programs and foundations, states, and the federal government funded larger randomized trials to assess the impact of these reforms. As they trace these historical shifts, Gueron and Rolston discuss the ways that strategies for resolving theoretical and practical problems were developed, and they highlight the strict conditions required to execute a randomized experiment successfully. What emerges is a nuanced portrait of the potential and limitations of social experiments to advance empirical knowledge. Weaving history, data analysis and personal experience, Fighting for Reliable Evidence offers valuable lessons for researchers, policymakers, funders, and informed citizens interested in isolating the effect of policy initiatives. It is an essential primer on welfare policy, causal inference, and experimental designs.
From Welfare to Work appears at a critical moment, when all fifty states are wrestling with tough budgetary and program choices as they implement the new federal welfare reforms. This book is a definitive analysis of the landmark social research that has directly informed those choices: the rigorous evaluation of programs designed to help welfare recipients become employed and self-sufficient. It discusses forty-five past and current studies, focusing on the series of seminal evaluations conducted by the Manpower Demonstration Research Corporation over the last fifteen years. Which of these welfare-to-work programs have worked? For whom and at what cost? In answering these key questions, the authors clearly delineate the trade-offs facing policymakers as they strive to achieve the multiple goals of alleviating poverty, helping the most disadvantaged, curtailing dependence, and effecting welfare savings. The authors present compelling evidence that the generally low-cost, primarily job search-oriented programs of the late 1980s achieved sustained earnings gains and welfare savings. However, getting people out of poverty and helping those who are most disadvantaged may require some intensive, higher-cost services such as education and training. The authors explore a range of studies now in progress that will address these and other urgent issues. They also point to encouraging results from programs that were operating in San Diego and Baltimore, which suggest the potential value of a mixed strategy: combining job search and other low-cost activities for a broad portion of the caseload with more specialized services for smaller groups. Offering both an authoritative synthesis of work already done and recommendations for future innovation, From Welfare to Work will be the standard resource and required reading for practitioners and students in the social policy, social welfare, and academic communities.
Once primarily used in medical clinical trials, random assignment experimentation is now accepted among social scientists across a broad range of disciplines. The technique has been used in social experiments to evaluate a variety of programs, from microfinance and welfare reform to housing vouchers and teaching methods. How did randomized experiments move beyond medicine and into the social sciences, and can they be used effectively to evaluate complex social problems? Fighting for Reliable Evidence provides an absorbing historical account of the characters and controversies that have propelled the wider use of random assignment in social policy research over the past forty years. Drawing from their extensive experience evaluating welfare reform programs, noted scholar practitioners Judith M. Gueron and Howard Rolston portray randomized experiments as a vital research tool to assess the impact of social policy. In a random assignment experiment, participants are sorted into either a treatment group that participates in a particular program, or a control group that does not. Because the groups are randomly selected, they do not differ from one another systematically. Therefore any subsequent differences between the groups can be attributed to the influence of the program or policy. The theory is elegant and persuasive, but many scholars worry that such an experiment is too difficult or expensive to implement in the real world. Can a control group be truly insulated from the treatment policy? Would staffers comply with the random allocation of participants? Would the findings matter? Fighting for Reliable Evidence recounts the experiments that helped answer these questions, starting with the income maintenance experiments and the Supported Work project in the 1960s and 1970s. Gueron and Rolston argue that a crucial turning point came during the 1980s, when Congress allowed states to experiment with welfare programs and foundations, states, and the federal government funded larger randomized trials to assess the impact of these reforms. As they trace these historical shifts, Gueron and Rolston discuss the ways that strategies for resolving theoretical and practical problems were developed, and they highlight the strict conditions required to execute a randomized experiment successfully. What emerges is a nuanced portrait of the potential and limitations of social experiments to advance empirical knowledge. Weaving history, data analysis and personal experience, Fighting for Reliable Evidence offers valuable lessons for researchers, policymakers, funders, and informed citizens interested in isolating the effect of policy initiatives. It is an essential primer on welfare policy, causal inference, and experimental designs.
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