Thomas D. Cook

Meredith Phillips

Farah-naaz Habib

A Theory-based Evaluation

Comer's School Development Program in Prince George's County, Maryland

Frank F. Furstenberg

Glen H. Elder Jr.

Jacquelynne Eccles

One of the myths about families in inner-city neighborhoods is that they are characterized by poor parenting. Sociologist Frank Furstenberg and his colleagues explode this and other misconceptions about success, parenting, and socioeconomic advantage in Managing to Make It. This unique study—the first in the MacArthur Foundation Studies on Successful Adolescent Development series—focuses on how and why youth are able to overcome social disadvantages. Based on nearly 500 interviews and case studies of families in inner-city Philadelphia, Managing to Make It lays out in detail the creative means parents use to manage risks and opportunities in their communities. More importantly, it also depicts the strategies parents develop to steer their children away from risk and toward resources that foster positive development and lead to success. "Indispensible to anyone concerned about breaking the cycle of poverty and helplessness among at-risk adolescents, this book has a readable, graphic style easily grasped by those unfamiliar with statistical techniques." —Library Journal

Urban Families and Adolescent Success

Managing to Make It

William R. Shadish

Donald Thomas Campbell

Sections include: experiments and generalised causal inference; statistical conclusion validity and internal validity; construct validity and external validity; quasi-experimental designs that either lack a control group or lack pretest observations on the outcome; quasi-experimental designs that use both control groups and pretests; quasi-experiments: interrupted time-series designs; regresssion discontinuity designs; randomised experiments: rationale, designs, and conditions conducive to doing them; practical problems 1: ethics, participation recruitment and random assignment; practical problems 2: treatment implementation and attrition; generalised causal inference: a grounded theory; generalised causal inference: methods for single studies; generalised causal inference: methods for multiple studies; a critical assessment of our assumptions.

Experimental and Quasi-experimental Designs for Generalized Causal Inference

David L. DeMets

Clinical trials have become essential research tools for evaluating the benefits and risks of new interventions for the treatment and prevention of diseases, from cardiovascular disease to cancer to AIDS. Based on the authors’ collective experiences in this field, Introduction to Statistical Methods for Clinical Trials presents various statistical topics relevant to the design, monitoring, and analysis of a clinical trial. After reviewing the history, ethics, protocol, and regulatory issues of clinical trials, the book provides guidelines for formulating primary and secondary questions and translating clinical questions into statistical ones. It examines designs used in clinical trials, presents methods for determining sample size, and introduces constrained randomization procedures. The authors also discuss how various types of data must be collected to answer key questions in a trial. In addition, they explore common analysis methods, describe statistical methods that determine what an emerging trend represents, and present issues that arise in the analysis of data. The book concludes with suggestions for reporting trial results that are consistent with universal guidelines recommended by medical journals. Developed from a course taught at the University of Wisconsin for the past 25 years, this textbook provides a solid understanding of the statistical approaches used in the design, conduct, and analysis of clinical trials.

Introduction to Statistical Methods for Clinical Trials

Laura C. Leviton

Foundations of Program Evaluation heralds a thorough exploration of the field of program evaluation--looking back on its origins. By summarizing, comparing, and contrasting the work of seven major theorists of program evaluation, this book provides an important perspective on the current state of evaluation theory and provides suggestions for ways of improving its practice. Beginning in Chapter Two, the authors develop a conceptual framework to analyze how successfully each theory meets the specific criteria of its framework. Each subsequent chapter is devoted to the presentation of the theoretical and practical advice of a significant theorist--Michael Scriven, Donald Campbell, Carol Weiss, Joseph Wholey, Robert Stake, Lee Cronbach, and Peter Rossi.

Theories of Practice

Foundations of Program Evaluation

Thomas D. Cook

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