Assumptions : complexity, practice and values

• Other Authors: Nkwake, Apollo M. (Editor), Morell, Jonathan A. (Editor), Bledsoe, Katrina L. (Editor)
• Format: Electronic eBook
• Language: English
• Published: Bingley, U.K. : Emerald Publishing Limited, 2025.
• Series: Evaluation and society.
• Subjects: Hypothesis.; Evaluation.; Science > Research & Methodology.; Scientific research.; elektronické knihy; electronic books
• ISBN: 9781805922483
• DOI: 10.1108/9781805922469
• Physical Description: 1 online resource (160 pages).
• Item Description: Includes index.
• Access: Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty

Assumptions: Complexity, Practice and Values delves into the empirical and theoretical aspects of assumptions in evaluation, offering methodologies to identify and categorize them, and exploring how they influence evaluations and each other. It provides practical guidance for evaluators to help stakeholders identify priorities and plan effective programs, while also presenting conceptual insights into the nature of assumptions and their impact on both programs and evaluations. The chapters push the boundaries of our understanding of assumptions in the field and propose a research agenda to deepen our knowledge and improve evaluation practices. Addressing assumptions is a cornerstone of evaluative thinking, crucial for uncovering the beliefs that guide stakeholders' decisions and actions. This book emphasizes how these assumptions shape the evaluation process, determining the questions asked and the answers sought. By examining these underlying beliefs, evaluators can conduct more meaningful evaluations that truly reflect the needs and realities of the programs they assess. This book also equips methodologists with the tools to design evaluations that yield actionable insights for decision-makers. Practitioners will learn to monitor their own and their stakeholders' assumptions to avoid biases and leverage deeper understanding in their work. Program funders and designers will gain the knowledge to implement more effective programs and avoid unintended consequences. Evaluation educators will find valuable content to enhance their teaching, and researchers will discover new directions for their studies. Ultimately, Assumptions aims to enrich evaluators' ability to reveal and prioritize the most consequential assumptions in their work.