Many Americans seem convinced that government programs designed to help the poor have failed. Social Programs That Work shows that this is not true. Many programs have demonstrably improved the lives of people trapped at the bottom of the social and economic ladder. Social Programs That Work provides an in-depth look at some of the nation's best interventions over the past few decades, and considers their potential for national expansion. Examined here are programs designed to improve children's reading skills, curb juvenile delinquency and substance abuse, and move people off welfare into the workforce. Each contributor discusses the design and implementation of a particular program, and assesses how well particular goals were met. Among the critical issues addressed: Are good results permanent, or do they fade over time? Can they be replicated successfully under varied conditions? Are programs cost effective, and if so are the benefits seen immediately or only over the long term? How can public support be garnered for a large upfront investment whose returns may not be apparent for years? Some programs discussed in this volume were implemented only on a small, experimental scale, prompting discussion of their viability at the national level. An important concern for social policy is whether one-shot programs can lead to permanent results. Early interventions may be extremely effective at reducing future criminal behavior, as shown by the results of the High/Scope Perry preschool program. Evidence from the Life Skills Training Program suggests that a combination of initial intervention and occasional booster sessions can be an inexpensive and successful approach to reducing adolescent substance abuse. Social Programs That Work also acknowledges that simply placing welfare recipients in jobs isn't enough; they will also need long-term support to maintain those jobs. The successes and failures of social policy over the last thirty-five years have given us valuable feedback about the design of successful social policy. Social Programs That Work represents a landmark attempt to use social science criteria to identify and strengthen the programs most likely to make a real difference in addressing the nation's social ills.

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.