Using Theory to Improve Program and Policy Evaluations
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Using Theory to Improve Program and Policy Evaluations

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ISBN-13:
9780313283468
Einband:
Buch
Erscheinungsdatum:
01.05.1992
Seiten:
288
Autor:
Huey-Tsyh Chen
Gewicht:
540 g
Format:
238x161x23 mm
Serie:
290, Contributions to the Study of
Sprache:
Englisch
Beschreibung:

This book reveals the importance of theory in program evaluation and analyzes the nature and implications of theory-driven evaluations. Covered are: functions of program theory, strategies for formulating theory, cost and resource constraints, different types of theory-driven evaluations, and their future implications.
Introduction - Interfacing Theory and Practice in Evaluation, Huey-tsyh Chen and Peter H. Rossi. Part 1 Concepts and Nature of Theory-Driven Evaluations: Four Types of Theory That Can Guide Treatment Evaluations, John W. Finney and Rudolph H. Moos; Theory-Driven Metaevaluation, William R. Shadish, Jr. Part 2 Research Strategies and Methods: Pattern Matching in Theory-Driven Evaluation - a Field Example from Psychiatric Rehabilitation, William M.K. Trochim and Judith A. Cook; Testing Theories in Theory-Driven Evaluations - (Tests of) Moderation in All Things, Melvin M. Mark and David A. Hofmann; Theory-Driven Meta-Analysis - Prospect and Practice, Dave S. Cordray; The Role of Theory in Doing Case Study Research and Evaluations, Robert K. Yin; Theory in Evaluation - We Think Therefore, We Theorize (An Ethnographer's Perspective), David M. Fetterman. Part 3 Applications in Program Policy Planning and Implementation: Using Research and Theory in Developing Programs for Homeless Individuals, Debra Rog and Robert B. Huebne; Evaluating New Dawn and Pegasus Using Chen and Rossi Multigoal, Theory-Driven Approaches, Dennis Palumbo and Peter Gregware; Using Program Theory in Quality Assessments of Children's Mental Health Services, Keith A. Peterson and Leonard Bickman. Part 4 Applications in Impact Assessment and Cost-Benefit Analysis: The Importance of Theory in Selection Modeling; Incorrect Assumptions Mean Biased Results, David Rindskopf; Quasi-Experiments and Causation Probing, Huey-Tsyh Chen and Lung-ho Lin; Research-Based Theory for Educational Planning and Evaluation, Herbert J. Walberg and Arthur Reynold; Meta-Analysis in Evaluation - Moving from Description to Explanation, Mark W. Lipseyi; Theory-Driven Approach to Cost-Benefit Analysis - Implications of Program Theory, Ann Scott and Lee Sechrest.
This collection of essays underscores the importance of theory in programme evaluation and analyzes the nature and implications of theory-driven evaluations. Its broad-based analysis is designed for interdisciplinary audiences in all the social sciences.