“This is the evaluation book we’ve been waiting for! A must-read for all learning and working in the field.”    –Amanda M. Olejarski, West Chester University Evaluation Failures: 22 Tales of Mistakes Made and Lessons Learned is a candid collection of stories from seasoned evaluators from a variety of sectors sharing professional mistakes they have made in the past, and what they learned moving forward. As the only book of its kind, editor Kylie Hutchinson has collected a series of engaging, real-life examples that are both entertaining and informative. Each story offers universal lessons as takeaways, and discussion questions for reflective practice. The book is the perfect companion to anyone working in the evaluation field, and to instructors of program evaluation courses who want to bring the real world into their classroom. Available with Perusall—an eBook that makes it easier to prepare for class Perusall is an award-winning eBook platform featuring social annotation tools that allow students and instructors to collaboratively mark up and discuss their SAGE textbook. Backed by research and supported by technological innovations developed at Harvard University, this process of learning through collaborative annotation keeps your students engaged and makes teaching easier and more effective. Learn more.

“This Is Highly Illogical” : How a Spock Evaluator Learns That Context and Mixed Methods Are Everything

“This Is Highly Illogical” : How a Spock Evaluator Learns That Context and Mixed Methods Are Everything

Benoît Gauthier, CE, MA, MPA, CMC, AdmA, is a professional evaluator trained in political science, quantitative methods, and public administration who has spent the last three decades developing knowledge in support of better decision making.

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Mélissa Proulx

Three decades ago, I was taught, on the job and as part of the organizational culture I worked in, that evaluation was about the determination of the incremental impact of government programs. Like Spock from the old television series Star Trek, in my evaluation universe, the logic model reigned—you know, a program depiction that is entirely centered on the program with no recognition of environmental factors or their effect on program logic. ...

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