Valuable Resources

This selection of resources offers guidance on general evaluation topics and data analysis and interpretation for program evaluation. Check out each category for more.

General Evaluation

 
A Manager’s Guide to Program Evaluation
The Administration on Children, Youth, and Families (ACF) developed this guide to explain program evaluation –what it is, how to understand it, and how to do it.

Step by Step Manuals
The Centers for Disease Control and Prevention Evaluation Working Group maintains this list of program evaluation manuals.

Getting To Outcomes™ 2004:  Promoting Accountability Through Methods and Tools for Planning, Implementation, and Evaluation
This comprehensive guide covers many aspects of developing and implementing a substance abuse prevention program, including needs and resources assessment, planning, and evaluation. The guide is also available in Spanish.

Step by Step Manuals
The Centers for Disease Control and Prevention Evaluation Working Group maintains this list of program evaluation manuals.

Understanding Evaluation: The Way to Better Prevention Programs
This handbook prepared for the U.S. Department of Education describes the why and how of program evaluation and outlines the steps of conducting evaluations. A section on “Interpreting and Reporting Evaluation Findings” discusses preparing a data analysis plan, using descriptive and inferential analysis, and interpreting evaluation findings.

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Data Analysis and Interpretation

Analysing and Interpreting Data
(Guide to Project Evaluation: A Participatory Approach) This chapter of Health Canada’s evaluation guide discusses how to analyze project evaluation information and prepare evaluation reports.

Analyzing Qualitative Data
(User-Friendly Handbook for Mixed Method Evaluations)
This National Science Foundation handbook on mixed method evaluations includes a chapter which outlines the process of qualitative data analysis with tips and examples.

Data Analysis
(AROW Module 6: Project Evaluation)
This section of the University of Syndey’s online learning module includes a description of data analysis and steps in the process.

Design, Data Collection, and Data Analysis
(User-Friendly Handbook for Project Evaluation)
This chapter on data collection and analysis in the National Science Foundation’s handbook on project evaluation includes details on the steps for quantitative data analysis. Samples are included.

How Do You Make Sense of Evaluation Information?
(The Program Manager's Guide to Evaluation)
This chapter in ACF’s evaluation guide helps educate managers about the basics of analyzing evaluation data so that they can contribute in the process of analyzing and interpreting the data.

Justify Conclusions
(Introduction to Program Evaluation for Comprehensive Tobacco Control Programs)
This chapter of CDC’s evaluation manual discusses how to prepare data and analyze and interpret findings.

Pitfalls of Data Analysis (or How to Avoid Lies and Damned Lies)
This paper developed by Clay Helberg of SPSS, Inc., examines issues that people often overlook in their data analysis and ways people sometimes "bend the rules" of statistics to support their viewpoint. It also discusses ways you can make sure your own statistics are clear and accurate.

Qualitative Analysis
The American Evaluation Association maintains this list of companies that provide software designed for the analysis of qualitative data.

Topics in Statistical Data Analysis: Revealing Facts from Data
This web site prepared by Dr. Hossein Arsham at the University of Baltimore offers information on high level statistical data analysis, including time series analysis, popular distributions, and the use of computers in statistical data analysis. The resource lists related books and links to related Web sites.

Using Evaluation Findings for Decision Making
(Evaluating Drug Control and System Improvement Projects)
This section of a handbook developed for the National Institute of Justice discusses how to prepare evaluation reports so that findings are relevant to decision makers, covering topics such as the need to write for the intended audience and how to communicate findings in understandable terms.

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