1. TGYS Data Interpretation and Reporting Results

2. Objectives Gain Confidence Apply your Knowledge Make Connections

3. Roadmap  Program evaluation review  Discussion of your data:  Desired evaluation results  Factors affecting your results  Comparison data  Next steps

4. Program Evaluation Cycle 1.Create logic model 2.Decide on a design 3.Pick measurement tool 4.Data analysis 5.Data reporting & reflection

5. Evaluation Terms Sample/Sample Size Scale/Measure Subscale Mean Comparison/Aggregate Data Norms

6. Statistical Terms T-test P-value p<.05 Effect Size

7. Effect Size Benchmarks <.20 = small.21-.79 = moderate.80-1.00 = large

8. Example = Pre-Tests: 55 Post-Tests: 38Matched tests: 38

9. Sample Data Report

10. Potential Influences Tracking Data Management AttritionConfidentialityYour Sample

11. Participant Tracking

12. Data Management Fill in bubbles completely with pencil Fill in the entire administrative section Don’t use photocopies

13. Comparison Data  How does your agency compare to other TGYS grantees?  Are you surprised by these differences?  Would you expect these differences?

14. Results Justification Results People Effects Program Effects

15. Next Steps  Discuss results with key staff  Learn from other grantees  Contact your TGYS technical evaluator

16. CSU team contact information: Julie Maertens: jmtgys@lamar.colostate.edu Polly Todd: polly.sullivan.todd@gmail.comjmtgys@lamar.colostate.edupolly.sullivan.todd@gmail.com You can also check out our website!website