Working Under Budget, Time, Data, and Political Constraints
Author: Michael Bamberger
Publisher: SAGE Publications
Category: Social Science
This book helps practicing evaluators design and conduct competent evaluation studies, while explicitly considering resource and data constraints. The book is organized around a seven-step model developed by the authors, and which has been tested and refined in workshops that cater to a broad spectrum of evaluation practitioners. Vignettes from practice and case studies, representing evaluations from a variety of geographic regions and sectors, demonstrate adaptive possibilities for small projects with budgets of a few thousand dollars, or timelines as brief as a few days, to large-scale, long-term evaluations with multi-million-dollar budgets. The text is specifically designed to incorporate quantitative, qualitative, and mixed-method designs.
Mastering the Interpersonal Dynamics of Program Evaluation
Author: Jean A. King
Publisher: SAGE Publications
Category: Social Science
You've taken your introduction to evaluation course and are about to do your first evaluation project. Where do you begin? Interactive Evaluation Practice: Managing the Interpersonal Dynamics of Program Evaluation helps bridge the gap between the theory of evaluation and its practice, giving students the specific skills they need to use in different evaluation settings. Jean A. King and Laurie Stevahn present readers with three organizing frameworks (derived from social interdependence theory from social psychology, evaluation use research, and the evaluation capacity building literature) for thinking about evaluation practice. These frameworks help readers track the various skills or strategies to use for distinctive evaluation situations. In addition, the authors provide explicit advice about how to solve specific evaluation problems. Numerous examples throughout the text bring interactive practice to life in a variety of settings.
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.
Integrating Diversity With Quantitative, Qualitative, and Mixed Methods
Author: Donna M. Mertens
“The emphasis on minority populations has caught my attention and sustained my loyalty. Donna is so sensitive in exploring those issues, a first in a text for that class and a welcome addition.” —Nick Eastmond, Utah State University Focused on discussing what is considered to be “good” research, this text explains quantitative, qualitative, and mixed methods in detail, incorporating the viewpoints of various research paradigms into the descriptions of these methods. Approximately 60% of the content in this Third Edition is new, with lots of fresh examples. Key Features Postpositivist, constructivist, transformative, and pragmatic paradigms discussed Conducting research in culturally complex communities emphasized throughout A step-by-step overview of the entire research process provided New to this Edition New coverage on how to write a literature review and plan a dissertation New pedagogy including “Extending Your Thinking” throughout This is a core or supplemental text for research courses in departments of education, psychology, sociology, social work and other human-services disciplines.
Evaluation research findings should be a key element of the policymaking process, but in reality, they are often disregarded. Evaluation for the Real World examines the use--and nonuse--of evaluation research by decision makers. Analyzing the frameworks and criteria of various evaluation procedures, it highlights the impact evaluation has on public policy with an emphasis on the real world of decision making in the public sector and the political and economic pressures it faces. Assessing the work of influential academics in both the United States and UK, the authors formulate strong arguments for the adoption of a different approach to evaluation.
Navigating Common Constraints for Exceptional Results
Author: Patricia Pulliam Phillips
Publisher: Association For Talent Development
Category: Business & Economics
Is your program ready for the real world? Real world evaluation is a balance between art, science, accuracy, and cost. To set your program up for success, you need to start the measurement and evaluation journey with a clear destination in mind. In Real World Training Evaluation, Patricia and Jack Phillips hone in on ROI in learning and development and outline a clear pathway to seamless and credible evaluation. Learn to avoid real world barriers that commonly get in the way of talent development initiatives. Earn the respect of senior management by showing bottom-line impact, including the ROI. And start describing program successes in quantitative, qualitative, financial, and non-financial terms to win over crucial stakeholders. By demonstrating program results, you can help your organization link its human capital investment to operational excellence and sustainability. Real World Training Evaluation offers the directions and tools to get you there.
Agent-based computational modeling is changing the face of social science. In Generative Social Science, Joshua Epstein argues that this powerful, novel technique permits the social sciences to meet a fundamentally new standard of explanation, in which one "grows" the phenomenon of interest in an artificial society of interacting agents: heterogeneous, boundedly rational actors, represented as mathematical or software objects. After elaborating this notion of generative explanation in a pair of overarching foundational chapters, Epstein illustrates it with examples chosen from such far-flung fields as archaeology, civil conflict, the evolution of norms, epidemiology, retirement economics, spatial games, and organizational adaptation. In elegant chapter preludes, he explains how these widely diverse modeling studies support his sweeping case for generative explanation. This book represents a powerful consolidation of Epstein's interdisciplinary research activities in the decade since the publication of his and Robert Axtell's landmark volume, Growing Artificial Societies. Beautifully illustrated, Generative Social Science includes a CD that contains animated movies of core model runs, and programs allowing users to easily change assumptions and explore models, making it an invaluable text for courses in modeling at all levels.