Interpreting & Reporting Program Evaluation Data

Program Evaluation September 21, 2015 Print Friendly and PDF

After data is analyzed in ways that are planned, it is time to interpret the findings and prepare reports for sharing the program evaluation information. Many options are available for how to display results (i.e., number or percent) and what formats are most effective for different types of program evaluation methods (e.g., focus groups, survey results). Data visualization is a current strategy in program evaluation to use quality graphics to display results that are friendly to a variety of media and internet formats. A purpose of creating effective reports and using quality graphics in reporting is to improve the use of program evaluation results. Strategies for effective report writing include describing the demographic characteristics of target audiences reached by Extension programs and how outcomes may have varied across groups. Interpreting and reporting program evaluations involve finding effective ways to display program impacts for intended end-users and interested stakeholders of the data.

Top Frequently Asked Questions for Interpreting & Reporting

What if a program has been terminated early?  How does that affect the evaluation?

How do I analyze pre and post data?

How can I best document program impacts?

Is there one best way to display the results of an evaluation?

Can I compare my evaluation data from last year with my data from this year?

How can I use data to describe participants in my program?

How can I determine what my stakeholders want to know about my program?

How do I report program evaluation results from a focus group?

How do you analyze data from a focus group?

What are the standards of an effective program evaluation?

Should I report the number, percentage, or both number and percentage of participants who achieved a certain result?

Should I include quotes from participants in my impact statement?

How should I report program evaluation results from a survey?

How do I analyze data from a program evaluation survey?


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This work is supported by the USDA National Institute of Food and Agriculture, New Technologies for Ag Extension project.