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Evaluation Essentials – Methods for Conducting Sound Research: Research Methods for the Social Sciences

Autor BO Daponte
en Limba Engleză Paperback – 17 iul 2008
Evaluation Essentials Evaluation Essentials is an indispensable text that offers an introduction to program evaluation. Examples of program descriptions from a variety of sectors including public policy, public health, non-profit management, social work, arts management, education, international assistance, and labor illustrate the book's step-by-step approach to the process and methods of program evaluation. Perfect for students as well as new evaluators, Evaluation Essentials offers a comprehensive foundation in the core concepts, theories, and methods of program evaluation. Beth Osborne Daponte-a leading authority in program evaluation-clearly shows how to form evaluation questions, describe programs using program theory and program logic models, understand causation as it relates to evaluation, use quasi-experimental design, and create meaningful outcome measures. The book offers appropriate approaches to collecting data and introduces readers to survey design and sampling. Daponte explores what it means to say that a program "causes" change to occur. Evaluation Essentials provides a rigorous introduction to quasi-experimental design, helps determine which designs are most appropriate for given situations, and explains the trade-offs between designs.
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Specificații

ISBN-13: 9780787984397
ISBN-10: 0787984396
Pagini: 192
Dimensiuni: 177 x 234 x 10 mm
Greutate: 0.33 kg
Editura: Wiley
Seria Research Methods for the Social Sciences

Locul publicării:Hoboken, United States

Public țintă

Faculty and students in education, policy sciences, public administration, sociology, and health, and professionals and consultants in evaluation in all these areas.

Cuprins

Chapter 1: Introduction Chapter 2: Describing the Program Chapter 3: Laying the Evaluation Groundwork Chapter 4: Causation Chapter 5: The Prisms of Validity Chapter 6: Attributing Outcomes to the Program: Quasi-Experimental Design Chapter 7 Collecting Data Chapter 8 Conclusions Appendix A