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Faculty publish two new books on innovative research techniques

School of Social Work faculty members Mark Fraser, Jack Richman, Maeda Galinsky and Steve Day have authored a new book, “Intervention Research: Developing Social Programs.” This guide will serve as a solid reference for social workers in the field, as well as help the next generation of social workers develop skills to contribute to the evolving field of intervention research.
When social workers draw on experience, theory, or data in order to develop new strategies or enhance existing ones, they are conducting intervention research. This relatively new field involves program design, implementation, and evaluation and requires a theory-based, systematic approach. “Intervention Research” presents such a framework.
The five-step strategy in the book ushers the reader from an idea’s germination through the process of writing a treatment manual, assessing program efficacy and effectiveness, and disseminating findings. Rich with examples drawn from child welfare, school-based prevention, medicine and juvenile justice, the authors relate each step of the process to current social work practice. The book also explains how to adapt interventions for new contexts, provides extensive examples of intervention research, and offers insights about changes and challenges in the field.
The book is published by Oxford University Press and can be ordered online. Use promo code 27239 to receive a discounted price of $19.95.
Shenyang Guo, associate professor, and Mark Fraser, John A. Tate Distinguished Professor for Children in Need, have a new book coming out in July.
“Propensity Score Analysis: Statistical Methods and Applications” describes a family of new statistical techniques useful in estimating the effects of social and health programs.
Intended for social behavioral researchers who conduct intervention research and program evaluation, the book is the first of its kind to provide step-by-step instructions for running a wide range of propensity score models with the Stata software program. The book describes four cutting-edge methods: sample selection models, propensity score matching, matching estimators and kernel-based matching estimators.
The book is published by Sage Publications and can be ordered online through or Sage.