Written for students, researchers, consultants, professionals, and scholars, Logic Modeling Methods in Program Evaluation provides a step-by-step explanation of logic modeling and its importance in connecting theory with implementation and outcomes in program evaluation in the social sciences. Logic Modeling Methods in Program Evaluation’s comprehensive approach: · Shows how the logic model can be used to clarify assumptions, reach group consensus, and bridge between various disciplines; · Identifies the specific components of logic modeling and discusses inputs, activities, outputs, short and long-term outcomes, contextual factors, and optional components and variations; · Focuses on the critical role of consensus in the development of a logic model, including factors such as teaming, timing, and collaborative learning; · Explores issues such as the most common mistakes in the development and implementation of logic models and the use of logic models in projects with different levels of complexity or different durations; · Discusses how the logic model can be used to identify the range of outcomes to be examined and how summative questions can be prioritized; · Includes a variety of illustrative case studies of simple, multi-year, and complex projects and demonstrates the use of the logic model to establish project goals and evaluate the project’s outcome.

This engaging text takes an evenhanded approach to major theoretical paradigms in evaluation and builds a bridge from them to evaluation practice. Featuring helpful checklists, procedural steps, provocative questions that invite readers to explore their own theoretical assumptions, and practical exercises, the book provides concrete guidance for conducting large- and small-scale evaluations. Numerous sample studies—many with reflective commentary from the evaluators—reveal the process through which an evaluator incorporates a paradigm into an actual research project. The book shows how theory informs methodological choices (the specifics of planning, implementing, and using evaluations). It offers balanced coverage of quantitative, qualitative, and mixed methods approaches. Useful pedagogical features include: *Examples of large- and small-scale evaluations from multiple disciplines. *Beginning-of-chapter reflection questions that set the stage for the material covered. *"Extending your thinking" questions and practical activities that help readers apply particular theoretical paradigms in their own evaluation projects. *Relevant Web links, including pathways to more details about sampling, data collection, and analysis. *Boxes offering a closer look at key evaluation concepts and additional studies. *Checklists for readers to determine if they have followed recommended practice. *A companion website with resources for further learning.

A novel approach to decision engineering, with a verified framework for modeling human reasoning Soft Computing Evaluation Logic provides an in-depth examination of evaluation decision problems and presents comprehensive guidance toward the use of the Logic Scoring of Preference (LSP) method in modeling complex decision criteria. Fully aligned with current developments in computational intelligence, the discussion covers the design and use of LSP criteria for evaluation and comparison in diverse areas, such as search engines, medical conditions, real estate, space management, habitat mitigation projects in ecology, and land use and residential development suitability maps, with versatile transfer to other similar decision-modeling contexts. Human decision making is rife with fuzziness, imprecision, uncertainty, and half-truths—yet humans make evaluation decisions every day. In this book, such decision processes are observed, analyzed, and modeled. The result is graded logic, a soft computing mathematical infrastructure that provides both formal logic and semantic generalizations of classical Boolean logic. Graded logic is used for logic aggregation in the context of evaluation models consistent with observable properties of human reasoning. The LSP method, based on graded logic and logic aggregation, is a vital component of an industrial-strength decision engineering framework. Thus, the book: Provides detailed theoretical background for graded logic Provides a theory of logic aggregators Explains the LSP method for designing complex evaluation criteria and their use Shows techniques for evaluation, comparison, and selection of complex systems, as well as the cost/suitability analysis, optimization, sensitivity analysis, tradeoff analysis, and missingness-tolerant aggregation Includes a survey of available LSP software tools, including ISEE, ANSY and LSP.NT. With quantitative modeling of human reasoning, novel approaches to modeling decision criteria, and a verified decision engineering framework applicable to a broad array of applications, this book is an invaluable resource for graduate students, researchers, and practitioners working within the decision engineering realm.

Program Evaluation and Performance Measurement: An Introduction to Practice, Second Edition offers an accessible, practical introduction to program evaluation and performance measurement for public and non-profit organizations, and has been extensively updated since the first edition. Using examples, it covers topics in a detailed fashion, making it a useful guide for students as well as practitioners who are participating in program evaluations or constructing and implementing performance measurement systems. Authors James C. McDavid, Irene Huse, and Laura R. L. Hawthorn guide readers through conducting quantitative and qualitative program evaluations, needs assessments, cost-benefit and cost-effectiveness analyses, as well as constructing, implementing and using performance measurement systems. The importance of professional judgment is highlighted throughout the book as an intrinsic feature of evaluation practice.

Between good intentions and great results lies a program theory not just a list of tasks but a vision of what needs to happen, and how. Now widely used in government and not-for-profit organizations, program theory provides a coherent picture of how change occurs and how to improve performance. Purposeful Program Theory shows how to develop, represent, and use program theory thoughtfully and strategically to suit your particular situation, drawing on the fifty-year history of program theory and the authors' experiences over more than twenty-five years. "From needs assessment to intervention design, from implementation to outcomes evaluation, from policy formulation to policy execution and evaluation, program theory is paramount. But until now no book has examined these multiple uses of program theory in a comprehensive, understandable, and integrated way. This promises to be a breakthrough book, valuable to practitioners, program designers, evaluators, policy analysts, funders, and scholars who care about understanding why an intervention works or doesn't work." Michael Quinn Patton, author, Utilization-Focused Evaluation "Finally, the definitive guide to evaluation using program theory! Far from the narrow 'one true way' approaches to program theory, this book provides numerous practical options for applying program theory to fulfill different purposes and constraints, and guides the reader through the sound critical thinking required to select from among the options. The tour de force of the history and use of program theory is a truly global view, with examples from around the world and across the full range of content domains. A must-have for any serious evaluator." E. Jane Davidson, PhD, Real Evaluation Ltd. Companion Web site: josseybass.com/go/funnellrogers

Evaluation Methodology Basics introduces evaluation by focusing on the main kinds of 'big picture' questions that evaluations usually need to answer, and how the nature of such questions are linked to evaluation methodology choices. The author: shows how to identify the right criteria for your evaluation; discusses how to objectively figure out which criteria are more important than the others; and, delves into how to combine a mix of qualitative and quantitative data with 'relevant values' (such as needs) to draw explicitly evaluative conclusions.

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.

This book begins with the context of an agency-based evaluation and describes the method within that context. Students will gain a more complete understanding of this contextual challenge and will learn techniques for operating in the face of these challenges.