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Using Data in Your PRI Needs Assessment

This document outlines a comprehensive approach to using data for needs assessment in schools, focusing on youth substance use and performance metrics. It discusses confidence intervals and significant differences observed in cigarette smoking rates among students and in the broader state context. The report emphasizes key risk and protective factors associated with alcohol use, including parental attitudes and peer influence. Detailed statistical analysis, including graphs, illustrates the findings. Input from readers is encouraged, with contact information provided for further comments.

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Using Data in Your PRI Needs Assessment

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  1. Using Data in Your PRI Needs Assessment Linda Becker, PhD., Prevention Research Manager September 2011

  2. Table of Contents

  3. Logic Model

  4. School Performance HYS Measures of School Performance

  5. Confidence Intervals Significant differences: numerically • Smoked cigarettes in the state: 14.9% (± 1.4%) Between 13.5% and 16.3% • Smoked cigarettes at my school: 20.0% (± 2.2%) Between 17.8% to 22.2% Conclusion: Difference IS statistically significant (confidence intervals do not overlap)

  6. Confidence Intervals Significant differences: graphically

  7. Confidence Intervals Significant differences: graphically

  8. School Performance

  9. CORE GIS Social Indicators

  10. Consumption

  11. Youth Substance Use

  12. Youth Substance Use

  13. Intervening Variables

  14. Alcohol Availability

  15. Norms

  16. Risk/Protective Factors Most Strongly Associated with Alcohol Use • Parental attitudes favorable towards drug use. • Early initiation of drugs. • Intentions to use drugs. • Friends’ use of drugs. • Social skills. • Data on all of the risk and protective factors are available at the end of the data book.

  17. Risk/Protective Factors Most Strongly Associated with Alcohol Use

  18. Risk/Protective Factors Most Strongly Associated with Alcohol Use

  19. Additional HYS Data

  20. Additional HYS Data

  21. Risk and Protective Factors

  22. Additional CORE Data

  23. Your Comments Matter Please e-mail your comments to: • Sarah.Mariani@dshs.wa.gov • Scott.Waller@dshs.wa.gov • Linda.Becker@dshs.wa.gov

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