Module 12 – Analyzing Data Module 13 – Drawing Conclusions and Documenting Findings Module 14 – Disseminating Information Module 15 – Feedback for Program.

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Module 12 – Analyzing Data Module 13 – Drawing Conclusions and Documenting Findings Module 14 – Disseminating Information Module 15 – Feedback for Program Improvement Module 16 – Conclusion

9-step Evaluation Process Step 6: Analyze Data

What is Data Analysis? Data collected during program evaluation are compiled and analyzed (counting; number crunching) Inferences are drawn as to why some results occurred and others did not Can be very complex depending on your evaluation questions We will focus on simple things that can be done without expert consultants

Types of Data Analysis Simple Frequency Counts

Types of Data Analysis Sort by Relevant Categories

Types of Data Analysis Calculate Percentages – Exercise 8 (p.13 of Workbook)

Types of Data Analysis Showing Change or Differences

Types of Data Analysis Reaching an Objective or Goal

Types of Data Analysis Observing Trends

Types of Data Analysis Graph Results

Types of Data Analysis Calculate Averages – Exercise 9 (p. 14 of Workbook)

Types of Data Analysis Calculate Weighted Averages

Types of Data Analysis Rank Order Weighted Averages

Types of Data Analysis Graph Weighted Averages

Using Focus Group/Interview Information Qualitative findings from focus groups, extended response items, etc., should be analyzed in a different way – Code words/frequency – Identify themes – Pull quotes – Summarize and draw conclusions

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