RealWorld Evaluation Working Under Budget, Time, Data, and Political Constraints

ISBN-10: 1412909465

ISBN-13: 9781412909464

Edition: 2006

List price: $63.00
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"" "I was quite impressed with how this book balanced the technical aspects with practical advice for managing budget, time and political constraints. The use of case study examples and checklists/worksheets helped to make the book much more ???grounded in practice??? compared to other texts. I like to think of myself as an experienced, well-read evaluator, but I must confess that I learned quite a lot from this book!"???Scott Bayley, Victorian Auditor-General's Office, Australia"[The authors] have really broken new ground by providing the guidance on how to apply the theory to reality. I plan to recommend this book highly, and [the authors have] have given me some great ideas on how to improve our evaluation capacity building efforts (and that??'s after reading just a few chapters!). Thanks for developing the RealWorld Evaluation approach to its full potential as a new way of thinking about and practicing evaluation."???Paula Bilinsky, AED Senior Evaluation Analyst "The breadth and depth of the authors??? experiences in international and national settings is apparent on every page." ???Donna M. Mertens, Gallaudet University?????Each page of this book contains nugget after nugget of useful, pragmatic, and practical advice.????????Kent Glenzer, Director, Impact Measurement and Learning Team, CARE USARealWorld Evaluation: Working Under Budget, Time, Data, and Political Constraints is the only textbook that provides specific guidance on how to conduct evaluations when working under resource and/or data constraints. Authors Michael Bamberger, Jim Rugh, and Linda Mabry illustrate options for addressing each constraint through practical examples from both developed and developing countriesto show how adapting to different types of exigencies can lead to successful evaluations. Key Features: Provides practical guidance: Specific and well documented case studies are provided for addressing budget, time, and data constraints, and for dealing with political pressures. Guidelines are offered for protecting the validity of conclusions when measures must be taken to save costs and time. Uses a mixed-methods approach: Adapting a range of methods to real-world situations, this text draws on quantitative, qualitative, and mixed-methods approaches. Design, methods, cultural sensitivity, validity, credibility, and reporting are among the many topics addressed. In addition, triangulation is encouraged for increasing the validity of findings. Incorporates a unique seven-step model: A systematic step-by-step approach that is logical and easy to follow is presented. Frameworks and checklists are provided for assessing the strengths and weaknesses of an evaluation and providing strategies to overcome the weaknesses and improve the design and validity. Intended Audience: Perfect supplementary text for any advanced undergraduate or graduate introductory program evaluation course across disciplines including Education, Public Administration, Management, Social Work, Public Health, and Nursing; in addition it will also appeal to researchers in government agencies, NGOs, evaluation consultants, and other evaluation practitioners.Visit the authors' Web site at http: //
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Book details

List price: $63.00
Copyright year: 2006
Publisher: SAGE Publications, Incorporated
Publication date: 2/13/2006
Binding: Paperback
Pages: 504
Size: 7.00" wide x 10.00" long x 1.00" tall
Weight: 1.892
Language: English

Jim Rugh has had 41 years of professional involvement in rural community development in Africa, Asia and Appalachia.  He has specialized in evaluation for 25 years; the past 10 years as head of Design, Monitoring and Evaluation for CARE International, a large NGO.  His particular skills include promoting strategies for enhanced capacity for evaluation throughout this world-wide organization.  He is a recognized leader in evaluation among colleagues in the international NGO community, including InterAction.  He has been an active member of the American Evaluation Association since 1986, currently serving on the Nominations and Election Committee.  He was a founding member of the Atlanta-area Evaluation Association.  He has experience in promoting community development and evaluating and facilitating self-evaluation by participants in such programs.  He has provided training for and/or evaluated many different international NGOs.  He brings a perspective of the "big picture," including familiarity with a wide variety of community groups and assistance agencies in many countries, plus an eye to detail and a respect for inclusiveness and the participatory process.

Overview: Realworld Evaluation
RealWorld Evaluation and the Contexts in Which It Is Used
Welcome to RealWorld Evaluation
The RealWorld Evaluation Context
The Four Types of Constraints Addressed by the RealWorld Approach
The RealWorld Evaluation Approach to Evaluation Challenges
Comparing the RealWorld Evaluation Context and Issues in Developing and Developed Countries
Who Uses RealWorld Evaluation, for What Purposes, and When?
Further Reading
The Seven Steps Of The Realworld Evaluation Approach
First clarify the purpose: Scoping the evaluation
Stakeholder expectations of impact evaluations
Understanding information needs
Developing the program theory model
Identifying the constraints to be addressed by the RWE and determining the appropriate evaluation design
Developing the Terms of Reference for the Evaluation
Further reading
Not enough money: Addressing budget constraints
Simplifying the evaluation design
Clarifying client information needs
Using existing data
Reducing costs by reducing sample size
Reducing costs of data collection and analysis
Common threats to validity of budget constraints
Further reading
Not enough time: Addressing scheduling and other time constraints
Similarities and differences between time and budget constraints
Simplifying the evaluation design
Clarifying client information needs
Using existing documentary data
Reducing sample size
Rapid data collection methods
Reducing time pressures on outside consultants
Hiring more resource people
Building outcome indicators into project records
Data collection and analysis technology
Common threats to adequacy and validity relating to time constraints
Further reading
Critical information is missing or difficult to collect: Addressing data constraints
Data issues facing RealWorld evaluators
Reconstructing baseline data
Special issues in reconstructing comparison groups
Collecting data on sensitive topics or from groups who are difficult to reach
Common threats to adequacy and validity relating to data constraints
Further reading
Reconciling different priorities and perspectives: Addressing political influences
Values, ethics, and politics
Political issues at the outset of an evaluation
Political issues during the conduct of an evaluation
Political issues in evaluation reporting and use
RealWorld strategies for addressing political constraints
Further reading
Strengthening the evaluation design and the validity of the conclusions
Validity in evaluation
Factors affecting adequacy and validity
Assessing the adequacy of quantitative evaluation designs
Strengthening validity in quantitative evaluations
Assessing the adequacy of qualitative evaluation designs
Strengthening validity in qualitative evaluations
Points during the RWE evaluation cycle when corrective measures can be taken
Further reading
Making it useful: Helping clients and other stakeholders utilize the evaluation
The underutilization of evaluations studies
The importance of the RealWorld evaluation scoping phase for utilization
Formative evaluation strategies
Communicating with clients throughout the evaluation
Evaluation capacity building
Communicating findings
Developing a follow-up action plan
Further reading
A Review Of Evaluation Methods And Approaches And Their Applications In Realworld Evaluation
Applications of program theory in RealWorld evaluation
Defining Program Theory Evaluation
Applications of Program Theory in evaluation
Constructing Program Theory Models
Logical framework analysis and results chains
Program theory evaluation and causality
Further reading
The Most Widely-Used RealWorld Quantitative Evaluation Designs
Randomized and quasi-experimental evaluation designs
The most widely used quantiative designs
Ways to strengthen quantitative RWE designs
Seven quasi-experimental designs that cover most RWE scenarios
Further reading
Quantitative evaluation methods
The quantitative and qualitative traditions in evaluation research
Quantitative methodologies
Applications of quantitative methodologies in program evaluation
Quantitative methods for data collection
The management of data collection for quantitative studies
Data analysis
Further reading
Qualitative evaluation methods
Qualitative methodology and tradition
Qualitative methodology: An overview
Different reasons for using different methodologies
Qualitative data collection
Qualitative data analysis
Further reading
Mixed-method evaluation
The mixed method approach
Mixed-method strategies
Implementing a mixed-method design
Further reading
Sampling for RealWorld Evaluation
The Importance Of Sampling For RWE
Purposive sampling
Probability (random) sampling
Using power analysis and effect size for estimating the appropriate sample size
Determining The Size Of The Sample
The Contribution of Meta-Analysis
Sampling Issues For Mixed-Method Evaluations
Sampling issues for RWE
Further reading
Pulling It All Together
Learning together: Building Capacity For RealWorld Evaluation
Defining evaluation capacity building
RealWorld evaluation capacity building
Designing and delivering evaluation capacity building
Further reading
Bringing it all together: Applying RealWorld evaluation approaches to each stage of the evaluation process
Scoping the evaluation
Choosing the best design from the available options
Determining appropriate methodologies
Ways to strengthen RWE designs
Staffing the evaluation economically
Collect data efficiently
Analyze the data efficiently
Report findings efficiently and effectively
Help clients use the findings well
Glossary of terms
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