TGYS Data Interpretation and Reporting Results

Objectives Gain Confidence Apply your Knowledge Make Connections

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

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

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

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

Effect Size Benchmarks <.20 = small = moderate = large

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

Sample Data Report

Potential Influences Tracking Data Management AttritionConfidentialityYour Sample

Participant Tracking

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

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

Results Justification Results People Effects Program Effects

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

CSU team contact information: Julie Maertens: Polly Todd: You can also check out our website!website