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Selected KIP Survey Results Fall 2003. Robert J. Illback, PsyD & Daniel Sanders, PhD REACH of Louisville. KIP Survey. Measures ATOD use and related factors for students in Grades 6, 8, 10, & 12 Originated in KY with CSAP-funded KIP projects in 1999

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Selected kip survey results fall 2003 l.jpg

Selected KIP Survey ResultsFall 2003

Robert J. Illback, PsyD & Daniel Sanders, PhD

REACH of Louisville


Kip survey l.jpg
KIP Survey

  • Measures ATOD use and related factors for students in Grades 6, 8, 10, & 12

  • Originated in KY with CSAP-funded KIP projects in 1999

  • Items derived from on Hawkins & Catalano’s “Student Survey of Risk and Protective Factors and Prevalence of Alcohol, Tobacco, & Other Drug Use” (1998)

  • Originally intended to allow comparisons among SIG states, given in fall and spring

  • Current plan is to administer bi-annually


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Administration & Scoring

  • Administered at four grade levels within each participating district

  • Training of district coordinators

  • Voluntary participation

  • Protections for anonymity

  • “Passive consent” model

  • About 40 minutes to administer

  • Sent to service bureau for scanning and data verification


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Scale Components

  • Demographics – Age, gender, race, zip, achievement, grades, SES, school attendance, family constellation, urban/suburban/rural

  • ATOD Use (personal & peer) – 30 day, past year, lifetime, onset

  • ATOD-related problems/antisocial behavior

  • ATOD accessibility

  • Values (personal, parental)

  • School safety

  • Family harmony/conflict


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Demographics of the 2003 Sample

  • Not representative of the state as a whole

  • Across the 38 school districts (plus School for the Blind), 28,372 students completed the survey

  • Equal distribution by gender (50%)

  • About 1/3 participate in the free/reduced school lunch program (proxy for SES)


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30-Day Substance Use

  • Exploratory factor analysis, principal components, varimax rotation, Kaiser normalization (Eigenvalue set at 1.0)

  • Two factor solution emerges across 11 substances

  • Factor 1 – alcohol, tobacco, marijuana

  • Factor 2 – all other substances

  • Accounts for 58.1% of the variance


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Predicting ATOD Abuse and Related Problems(Some Preliminary Analyses)

  • Step-wise logistic regressions for:

    • Heavy smoking use (1/2 pack per day or more in last 30 days)

    • Drunkenness (1 or more times in last 30 days)

    • Regular marijuana use (3 or more times in last 30 days)

  • Predictors – age, gender, family conflict, SES, perceived risk, perceived availability, peer use, personal disapproval, parental disapproval


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Heavy Smoking in Last 30 days

  • Logistic regression (forward, stepwise) of demographic and smoking-related items

  • Salient predictors

    • Friends who smoke (#11a)

    • Parental disapproval (#41b)

    • Personal disapproval (#40b)

    • Grades (#9)

  • R2 (Nagelkerke) = .517

  • Variables that did not contribute appreciably greater predictive power: age, gender, family conflict, risk perception, availability, age of 1st use

Classifies 92.9% of cases


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Drunk in Last 30 Days

  • Logistic regression (forward, stepwise) of demographic and alcohol-related items

  • Salient predictors

    • Friends who drink (#11b)

    • Personal disapproval (40a)

  • R2 (Nagelkerke) = .483

  • Variables that did not contribute appreciably greater predictive power: age, gender, grades, family conflict, parental disapproval, risk perception, availability, age of 1st use

Classifies 85.8% of cases


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Regular Marijuana Use in Last 30 Days

  • Logistic regression (forward, stepwise) of demographic and marijuana-related items

  • Salient predictors

    • Friends who drink (#11c)

    • Personal disapproval (40c)

  • R2 (Nagelkerke) = .582

  • Variables that did not contribute appreciably greater predictive power: age, gender, grades, family conflict, parental disapproval, risk perception, availability, age of 1st use

Classifies 93.7% of cases


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