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Evaluation fundamentals : insights into program effectiveness, quality, and value

Author: Arlene Fink
Publisher: Los Angeles : SAGE, [2015] ©2015
Edition/Format:   Print book : English : Third editionView all editions and formats
Database:WorldCat
Summary:
This text teaches the basic concepts and vocabulary necessary to do program evaluations and review the quality of evaluation research to make informed decisions about methods and outcomes to meet scientific and community needs. Dr. Fink thoroughly examines such issues as how to justify evaluation questions and set standards of effectiveness, design studies, identify best practices, and conduct ethical research. The  Read more...
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Document Type: Book
All Authors / Contributors: Arlene Fink
ISBN: 9781452282008 1452282005
OCLC Number: 861788900
Description: xvi, 285 pages : illustrations ; 24 cm
Contents: A Reader's Guide to Chapter 1 --
What Is Program Evaluation? --
The Program or Intervention --
Program Objectives and Outcomes --
Program Characteristics --
Program Impact --
Program Costs --
Program Quality --
Program Value --
Evaluation Methods --
Evaluation Questions and Hypotheses --
Evidence of Merit: Effectiveness, Quality, Value --
Designing the Evaluation --
Selecting Participants for the Evaluation --
Collecting Data on Program Merit --
Managing Data So That It Can Be Analyzed --
Analyzing Data to Decide on Program Merit --
Reporting on Effectiveness, Quality, and Value --
Who Uses Evaluations? --
Baseline Data, Formative Evaluation, and Process Evaluation --
Baseline Data --
Interim Data and Formative Evaluation --
Process or Implementation Evaluation --
Summative Evaluation --
Qualitative Evaluation --
Mixed-Methods Evaluation --
Participatory and Community-Based Evaluation --
Evaluation Frameworks and Models. Contents note continued: The PRECEDE-PROCEED Framework --
RE-AIM --
The Centers for Disease Control's Framework for Planning and Implementing Practical Program Evaluation --
Logic Models --
Right-to-Left Logic Model --
Left-to-Right Logic Model --
Evaluation Reports Online --
Summary and Transition to the Next Chapter on Evaluation Questions and Evidence of Program Merit --
Exercises --
References and Suggested Readings --
Suggested Websites --
A Reader's Guide to Chapter 2 --
Evaluation Questions and Hypotheses --
Evaluation Questions: Program Goals and Objectives --
Evaluation Questions: Participants --
Evaluation Questions: Program Characteristics --
Evaluation Questions: Financial Costs --
Evaluation Questions: The Program's Environment --
Evidence of Merit --
Sources of Evidence --
Evidence by Comparison --
Evidence From Expert Consultation: Professionals, Consumers, Community Groups --
Evidence From Existing Data and Large Databases ("Big Data"). Contents note continued: Evidence From the Research Literature --
When to Decide on Evidence --
Program Evaluation and Economics --
The QEV Report: Questions, Evidence, Variables --
Summary and Transition to the Next Chapter on Designing Program Evaluations --
Exercises --
References and Suggested Readings --
A Reader's Guide to Chapter 3 --
Evaluation Design: Creating the Structure --
Experimental Designs --
The Randomized Controlled Trial or RCT --
Parallel Controls --
Wait-List Controls --
Factorial Designs --
Randomizing and Blinding --
Random Assignment --
Random Clusters --
Improving on Chance: Stratifying and Blocking --
Blinding --
Nonrandomized Controlled Trials --
Parallel Controls --
The Problem of Incomparable Participants: Statistical Methods Like ANCOVA to the Rescue --
Observational Designs --
Cross-Sectional Designs --
Cohort Designs --
Case Control Designs --
A Note on Pretest-Posttest Only or Self-Controlled Designs. Contents note continued: Comparative Effectiveness Research and Evaluation --
Commonly Used Evaluation Designs --
Internal and External Validity --
Internal Validity Is Threatened --
External Validity Is Threatened --
Summary and Transition to the Next Chapter on Sampling --
Exercises --
References and Suggested Readings --
A Reader's Guide to Chapter 4 --
What Is a Sample? --
Why Sample? --
Inclusion and Exclusion Criteria or Eligibility --
Sampling Methods --
Simple Random Sampling --
Random Selection and Random Assignment --
Systematic Sampling --
Stratified Sampling --
Cluster Sampling --
Nonprobability or Convenience Sampling --
The Sampling Unit --
Sample Size --
Power Analysis and Alpha and Beta Errors --
The Sampling Report --
Summary and Transition to the Next Chapter on Collecting Information --
Exercises --
References and Suggested Readings --
Suggested Websites --
A Reader's Guide to Chapter 5 --
Information Sources: What's the Question? Contents note continued: Choosing Appropriate Data Sources --
Data Sources or Measures in Program Evaluation and Their Advantages and Disadvantages --
Self-Administered Surveys --
Achievement Tests --
Record Reviews --
Observations --
Interviews --
Computer-Assisted Interviews --
Physical Examinations --
Large Databases --
Vignettes --
The Literature --
Guidelines for Reviewing the Literature --
Assemble the Literature --
Identify Inclusion and Exclusion Criteria --
Select the Relevant Literature --
Identify the Best Available Literature --
Abstract the Information --
Consider the Non-Peer-Reviewed Literature --
Summary and Transition to the Next Chapter on Evaluation Measures --
Exercises --
References and Suggested Readings --
A Reader's Guide to Chapter 6 --
Reliability and Validity --
Reliability --
Validity --
A Note on Language: Data Collection Terms --
Checklist for Creating a New Measure --
Checklist for Selecting an Already Existing Measure. Contents note continued: The Measurement Chart: Logical Connections --
Summary and Transition to the Next Chapter on Managing Evaluation Data --
Exercises --
References and Suggested Readings --
A Reader's Guide to Chapter 7 --
Managing Evaluation Data Management: The Road to Data Analysis --
Drafting an Analysis Plan --
Creating a Codebook or Data Dictionary --
Establishing Reliable Coding --
Measuring Agreement: The Kappa --
Entering the Data --
Searching for Missing Data --
What to Do When Participants Omit Information --
Cleaning the Data --
Outliers --
When Data Are in Need of Recoding --
Creating the Final Database for Analysis --
Storing and Archiving the Database --
Summary and Transition to the Next Chapter on Data Analysis --
Exercises --
References and Suggested Readings --
A Reader's Guide to Chapter 8 --
A Suitable Analysis: Starting With the Evaluation Questions --
Measurement Scales and Their Data --
Categorical Data --
Ordinal Data --
Numerical Data. Contents note continued: Selecting a Method of Analysis --
Hypothesis Testing and p Values: Statistical Significance --
Guidelines for Hypothesis Testing, Statistical Significance, and p Values --
Clinical or Practical Significance: Using Confidence Intervals --
Establishing Clinical or Practical Significance --
Risks and Odds --
Odds Ratios and Relative Risk --
Qualitative Evaluation Data: Content Analysis --
Assembling the Data --
Learning the Contents of the Data --
Creating a Codebook or Data Dictionary --
Entering and Cleaning the Data --
Doing the Analysis --
Meta-Analysis --
Summary and Transition to the Next Chapter on Evaluation Reports --
Exercises --
References and Suggested Readings --
A Reader's Guide to Chapter 9 --
The Written Evaluation Report --
Composition of the Report --
Introduction --
Methods --
Results --
Conclusions or Discussion --
Recommendations --
The Abstract --
The Executive Summary --
Reviewing the Report for Quality and Ethics. Contents note continued: Oral Presentations --
Recommendations for Slide Presentations --
Posters --
Ethical Evaluations --
Evaluations That Need Institutional Review or Ethics Board Approval --
Evaluations That Are Exempt From IRB Approval --
What the IRB Will Review --
Informed Consent --
The Internet and Ethical Evaluations --
Communication Between the Evaluator and the Participant --
Communication Between the Participant and the Website --
Communication Between the Website and the Evaluator --
Data Protection --
Sample Questionnaire: Maintaining Ethically Sound Online Data Collection --
Example: Consent Form for an Online Survey --
Research Misconduct --
Exercises --
Suggested Websites.
Responsibility: Arlene Fink, University of California at Los Angeles, the Langley Research Institute.

Abstract:

The book teaches the basic concepts and vocabulary necessary to do program evaluations and to review the quality of evaluation research so as to make informed decisions about methods and outcomes.  Read more...

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"The text is extremely well organized... The concepts are easy to follow and the explanations are excellent." -- Sharon K. Drake, Iowa State University "Dr. Fink did an outstanding job of introducing Read more...

 
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