This is an up-to-date revision of the classic text first published in 1983. It includes a historical perspective on the growth of evaluation theory and practice and two comparative analyses of the various alternative perspectives on evaluation. It also includes articles representing the major schools of thought about evaluation written by the leaders who have developed these schools and models. The final section describes and discusses the Standards for Program Evaluation and the reformation of program evaluation.

The golden standard evaluation reference text Now in its second edition, Evaluation Theory, Models, and Applications is the vital text on evaluation models, perfect for classroom use as a textbook, and as a professional evaluation reference. The book begins with an overview of the evaluation field and program evaluation standards, and proceeds to cover the most widely used evaluation approaches. With new evaluation designs and the inclusion of the latest literature from the field, this Second Edition is an essential update for professionals and students who want to stay current. Understanding and choosing evaluation approaches is critical to many professions, and Evaluation Theory, Models, and Applications, Second Edition is the benchmark evaluation guide. Authors Daniel L. Stufflebeam and Chris L. S. Coryn, widely considered experts in the evaluation field, introduce and describe 23 program evaluation approaches, including, new to this edition, transformative evaluation, participatory evaluation, consumer feedback, and meta-analysis. Evaluation Theory, Models, and Applications, Second Edition facilitates the process of planning, conducting, and assessing program evaluations. The highlighted evaluation approaches include: Experimental and quasi-experimental design evaluations Daniel L. Stufflebeam's CIPP Model Michael Scriven's Consumer-Oriented Evaluation Michael Patton's Utilization-Focused Evaluation Robert Stake's Responsive/Stakeholder-Centered Evaluation Case Study Evaluation Key readings listed at the end of each chapter direct readers to the most important references for each topic. Learning objectives, review questions, student exercises, and instructor support materials complete the collection of tools. Choosing from evaluation approaches can be an overwhelming process, but Evaluation Theory, Models, and Applications, Second Edition updates the core evaluation concepts with the latest research, making this complex field accessible in just one book.

Formal decision and evaluation models are so widespread that almost no one can pretend not to have used or suffered the consequences of one of them. This book is a guide aimed at helping the analyst to choose a model and use it consistently. A sound analysis of techniques is proposed and the presentation can be extended to most decision and evaluation models as a "decision aiding methodology".

"The book's chapters provide background on how and why the CIPP (Context, Input, Process, Product) Model was developed; a detailed presentation of the model; an explanation of the key role of an evaluation-oriented leader, who can decide what and when to evaluate; detailed presentations on evaluation design, budgeting, and contracting; procedures and tools for collecting, analyzing, and reporting evaluation information; and procedures for conducting standards-based meta-evaluations (evaluations of evaluations). These topics are interspersed with illustrative evaluation cases in such areas as education, housing, and military personnel evaluation"--

The author is one of the prominent researchers in the field of Data Envelopment Analysis (DEA), a powerful data analysis tool that can be used in performance evaluation and benchmarking. This book is based upon the author’s years of research and teaching experiences. It is difficult to evaluate an organization’s performance when multiple performance metrics are present. The difficulties are further enhanced when the relationships among the performance metrics are complex and involve unknown tradeoffs. This book introduces Data Envelopment Analysis (DEA) as a multiple-measure performance evaluation and benchmarking tool. The focus of performance evaluation and benchmarking is shifted from characterizing performance in terms of single measures to evaluating performance as a multidimensional systems perspective. Conventional and new DEA approaches are presented and discussed using Excel spreadsheets — one of the most effective ways to analyze and evaluate decision alternatives. The user can easily develop and customize new DEA models based upon these spreadsheets. DEA models and approaches are presented to deal with performance evaluation problems in a variety of contexts. For example, a context-dependent DEA measures the relative attractiveness of similar operations/processes/products. Sensitivity analysis techniques can be easily applied, and used to identify critical performance measures. Two-stage network efficiency models can be utilized to study performance of supply chain. DEA benchmarking models extend DEA’s ability in performance evaluation. Various cross efficiency approaches are presented to provide peer evaluation scores. This book also provides an easy-to-use DEA software — DEAFrontier. This DEAFrontier is an Add-In for Microsoft® Excel and provides a custom menu of DEA approaches. This version of DEAFrontier is for use with Excel 97-2013 under Windows and can solve up to 50 DMUs, subject to the capacity of Excel Solver. It is an extremely powerful tool that can assist decision-makers in benchmarking and analyzing complex operational performance issues in manufacturing organizations as well as evaluating processes in banking, retail, franchising, health care, public services and many other industries.

A timely update to a timeless model. Don Kirkpatrick's groundbreaking Four Levels of Training Evaluation is the most widely used training evaluation model in the world. Ask any group of trainers whether they rely on the model's four levels Reaction, Learning, Behavior, and Results in their practice, and you'll get an enthusiastic affirmation. But how many variations of Kirkpatrick are in use today? And what number of misassumptions and faulty practices have crept in over 60 years? The reality is: Quite a few. James and Wendy Kirkpatrick have written Kirkpatrick's Four Levels of Training Evaluation to set the record straight. Delve into James and Wendy's new findings that, together with Don Kirkpatrick's work, create the New World Kirkpatrick Model, a powerful training evaluation methodology that melds people with metrics. In Kirkpatrick's Four Levels of Training Evaluation, discover a comprehensive blueprint for implementing the model in a way that truly maximizes your business's results. Using these innovative concepts, principles, techniques, and case studies, you can better train people, improve the way you work, and, ultimately, help your organization meet its most crucial goals.

Organized in three sections, the first includes a historical perspective on the growth of evaluation theory and practice; the second section includes articles on the major schools of thought about evaluation; the final section describes and discusses the standards for program evaluation.

We are glad to have the opportunity to work together again in the planning and preparation of this edited volume on the evaluation of corporate training. Our respective professional careers have provided us with experience in this area, both as practitioners and as academicians. It is from both of these perspectives that we approached the preparation of this volume. Our purpose is to provide training professionals in business and industry, and students of human resources development with an overview of current models and issues in educational evaluation. The book is organized around three themes: context, models, and issues. The chapters in the context section are intended to provide the reader with an understanding of the social, organizational, and interpersonal factors that provide background and give meaning to evaluation practice. The models section brings together contributions from some of the most influential thinkers and practitioners in the field. The chapters in this section provide perspective on the dominant themes and emergent trends from individuals who have been, and continue to be, the drivers of those trends. Contributions to the issues section highlight some pervasive themes as well as illuminate new areas of concern and interest that will affect how we assess learning interventions in the organizations of today and tomorrow.

Evaluation of Econometric Models presents approaches to assessing and enhancing the progress of applied economic research. This book discusses the problems and issues in evaluating econometric models, use of exploratory methods in economic analysis, and model construction and evaluation when theoretical knowledge is scarce. The data analysis by partial least squares, prediction analysis of economic models, and aggregation and disaggregation of nonlinear equations are also elaborated. This text likewise covers the comparison of econometric models by optimal control techniques, role of time series analysis in econometric model evaluation, and hypothesis testing in spectral regression. Other topics include the relevance of laboratory experiments to testing resource allocation theory and token economy and animal models for the experimental analysis of economic behavior. This publication is intended for students and researchers interested in evaluating econometric models.