基本信息出版社:Jossey-Bass
页码:320 页
出版日期:2008年05月
ISBN:0787988839
条形码:9780787988838
装帧:平装
正文语种:英语
丛书名:Research Methods for the Social Sciences
外文书名:绩效评估: 提高组织绩效的有效方法(社会科学研究方法系列)
内容简介 在线阅读本书
Performance Evaluation is a hands–on text for practitioners, researchers, educators, and students in how to use scientifically–based evaluations that are both rigorous and flexible. Author Ingrid Guerra–López, an internationally–known evaluation expert, introduces the foundations of evaluation and presents the most applicable models for the performance improvement field. Her book offers a wide variety of tools and techniques that have proven successful and is organized to illustrate evaluation in the context of continual performance improvement.
作者简介
Ingrid J. Guerra–López, PhD, is an associate professor at Wayne State University, director of the Institute for Learning and Performance Improvement, associate research professor at the Sonora Institute of Technology in Mexico, and principal of Intelligence Gathering Systems.
专业书评
Performance Evaluation
Proven Approaches for Improving Program and Organizational Performance
Performance Evaluation is a hands-on text for practitioners, researchers, educators, and students in how to use scientifically-based evaluations that are both rigorous and flexible. Author Ingrid Guerra-López, an internationally-known evaluation expert, introduces the foundations of evaluation and presents the most applicable models for the performance improvement field. Her book offers a wide variety of tools and techniques that have proven successful and is organized to illustrate evaluation in the context of continual performance improvement.
Designed to be comprehensive, the book highlights five major and classic evaluation models including
Kirkpatrick's Four Levels
Phillips's ROI
Brinkerhoff's Case Success Method
Stufflebeam's CIPP
Guerra-López's Impact Evaluation Process
Guerra-López's book bridges the gap between theory and practice. It illustrates the various models in accessible terms, explores the research evidence behind each, explains how each model looks in practice, and shows how each approach can be tailored for specific evaluations.