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TGYS Data Interpretation and Reporting Results

TGYS Data Interpretation and Reporting Results. Peter Chen, PhD Julie Gibbs, BSW Julie Maertens, MS Julie Sampson, MS Stefanie Putter, BA. Objectives. Roadmap. Program evaluation review Discussion of your data: Desired evaluation results Factors affecting your results

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TGYS Data Interpretation and Reporting Results

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  1. TGYS Data Interpretation and Reporting Results Peter Chen, PhD Julie Gibbs, BSW Julie Maertens, MS Julie Sampson, MS Stefanie Putter, BA

  2. Objectives

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

  4. Program Evaluation Cycle • Create logic model • Decide on a design • Pick measurement tool • Data analysis • 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

  8. Example • =

  9. Sample Data Report

  10. Potential Influences

  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

  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.eduJulie Sampson: jstgys@lamar.colostate.eduStefanie Putter: sptgys@lamar.colostate.edu • You can also check • out our website!

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