Catalogue


Logic modeling methods in program evaluation /
Joy A. Frechtling.
imprint
San Francisco : Jossey-Bass, c2007.
description
xiii, 146 p.
ISBN
0787981966 (cloth), 9780787981969 (cloth)
format(s)
Book
Subjects
More Details
imprint
San Francisco : Jossey-Bass, c2007.
isbn
0787981966 (cloth)
9780787981969 (cloth)
contents note
Evaluation and logic models -- The uses of logic models -- The components of a logic model -- The connections in a logic model -- Developing logic models to support evaluation -- Developing logic models of differing complexity -- Using a logic model to identify evaluation questions -- Using a logic model to support explanatory evaluation -- Challenges in developing logic models -- Developing logic models for complex projects -- Using logic models to evaluate a family of projects -- Using the logic model to provide technical assistance -- Appendix: the phases of an evaluation.
catalogue key
6140091
 
Includes bibliographical references (p. 141-142) and index.
A Look Inside
About the Author
Author Affiliation
Joy A. Frechtling is a vice president and associate director in Westat's Education Studies Group
Reviews
Review Quotes
"The book is definitely worth buying. Both program developers and evaluators will find the text useful." ( Journal of Multidisciplinary Evaluation , March 2008)
This item was reviewed in:
Reference & Research Book News, May 2007
To find out how to look for other reviews, please see our guides to finding book reviews in the Sciences or Social Sciences and Humanities.
Summaries
Back Cover Copy
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. Logic Modeling Methods in Program Evaluation is an important resource for anyone who wants to have a better understanding of the application of the logic model.
Bowker Data Service Summary
This book offers a framework for using logic models in project evaluation. It provides the rationale for using a logic model, an understanding of the components of a logic model and its dynamic features, issues to keep in mind in developing and using logic models, and opportunities to read about logic models in specific contexts.
Long Description
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.
Main Description
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.
Main Description
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.
Main Description
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.
Main Description
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.
Main Description
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.
Table of Contents
List of Figuresp. v
Prefacep. ix
Acknowledgmentsp. xi
About the Authorp. xiii
Evaluation and Logic Modelsp. 1
The Uses of Logic Modelsp. 11
The Components of a Logic Modelp. 21
The Connections in a Logic Modelp. 31
Developing Logic Models to Support Evaluationp. 44
Developing Logic Models of Differing Complexityp. 52
Using a Logic Model to Identify Evaluation Questionsp. 65
Using a Logic Model to Support Explanatory Evaluationp. 76
Challenges in Developing Logic Modelsp. 87
Developing Logic Models for Complex Projectsp. 96
Using Logic Models to Evaluate a Family of Projectsp. 108
Using the Logic Model to Provide Technical Assistancep. 117
The Phases of an Evaluationp. 127
Glossaryp. 135
Referencesp. 141
Indexp. 143
Table of Contents provided by Ingram. All Rights Reserved.

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